Patent Publication Number: US-2023148762-A1

Title: Air mattress with features for determining ambient tempurature

Description:
CROSS-REFERENCE TO RELATED APPLICATIONS 
     This application claims the benefit of U.S. Provisional Application Ser. No. 63/279,427, filed Nov. 15, 2021. The disclosure of the prior application is considered part of (and is incorporated by reference in) the disclosure of this application. 
    
    
     The present document relates to automation of a consumer device such as an airbed. 
     BACKGROUND 
     In general, a bed is a piece of furniture used as a location to sleep or relax. Many modern beds include a soft mattress on a bed frame. The mattress may include springs, foam material, and/or an air chamber to support the weight of one or more occupants. 
     SUMMARY 
     The present document generally relates to modifying an ambient environment based on determining ambient temperature values. A bed system can include multiple sensors that can be configured to detect different types of pressure signals at the bed system. The multiple sensors can include a barometric sensor, a microclimate temperature sensor, and an air bladder pressure sensor. A controller for the bed system in communication with the multiple sensors can receive the pressure signals and, using an ambient temperature classifier, determine an ambient temperature value based on the received pressure signals. 
     The ambient temperature value can indicate a temperature of an environment, such as a room, where the bed system is located. Based on the determined ambient temperature value, the controller can determine and/or initiate one or more home automation events. The home automation events can include adjusting a temperature in the room, such as turning a heating, ventilation, and air conditioning (HVAC) unit on or off in the home. The home automation events can also include adjusting settings of the bed system, such as turning heating or cooling elements on or off, adjusting pressure (e.g., firmness) settings of the bed system, and/or adjusting positioning of portions of the bed system (e.g., raising a head portion of the bed system, lowering a foot portion, etc.). One or more other home automation events are also possible. 
     A system of one or more computers can be configured to perform particular operations or actions by virtue of having software, firmware, hardware, or a combination of them installed on the system that in operation causes or cause the system to perform the actions. One or more computer programs can be configured to perform particular operations or actions by virtue of including instructions that, when executed by data processing apparatus, cause the apparatus to perform the actions. One general aspect includes a system for measuring ambient temperature. The system includes a mattress for supporting a sleeper. The mattress includes at least one air bladder. The system also includes a bladder pressure sensor fluidically coupled to the air bladder, the bladder pressure sensor configured to: sense bladder pressure inside the air bladder for a particular time and transmit bladder pressure readings for the particular time. The system also includes a barometric sensor in an ambient environment outside the mattress, the barometric sensor configured to: sense barometric pressure in the ambient environment for the particular time and transmit barometric pressure readings for the particular time. The system also includes a computing device including at least one processor and memory, the computing device configured to: receive the bladder pressure readings, receive the barometric pressure readings, provide, as input to an ambient temperature classifier, the bladder pressure and the barometric pressure readings, and receive, as output from the ambient temperature classifier, an ambient temperature value for the particular time. Other embodiments of this aspect include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the methods. 
     Implementations may include one or more of the following features. The ambient temperature classifier is configured to determine temperature in the ambient environment by removing influence of the barometric pressure on the bladder pressure. The ambient temperature classifier is configured to: determine a thermal pressure value for the air bladder by reducing the bladder pressure readings based on the barometric pressure readings; and determine the ambient temperature value in a model of contents of the air bladder that relates thermal pressure to the ambient temperature. The model is based on an ideal gas law. The contents of the air bladder include both a gas and an open cell foam, and where the model is further based on thermal expansion properties of the open cell foam. The ambient temperature classifier is configured to find the ambient temperature by looking up the ambient temperature in a lookup table indexed by bladder pressure and barometric pressure. The ambient temperature classifier was trained with machine learning processes using training data with i) bladder pressure reading:barometric pressure reading pairs and ii) training ambient temperature values. The system further may include a temperature sensor configured to: sense microclimate temperature in a microclimate around the sleeper; transmit the microclimate temperature readings for the particular time. The computing device is further configured to: receive the microclimate temperature readings; and provide, as further input to the ambient temperature classifier, the microclimate temperature readings. The ambient temperature classifier is configured to determine temperature in the ambient environment by removing influence of the barometric pressure and of the microclimate temperature on the bladder pressure. The computing device is further configured to identify discontinuities, greater than a threshold value, in a record of ambient pressure values over time as bed entry/exit events. The computing device is further configured to initiate a home automation event based on the received ambient temperature value for the particular time. Implementations of the described techniques may include hardware, a method or process, or computer software on a computer-accessible medium. 
     One general aspect includes a computer-readable medium tangibly storing instructions that, when executed by one or more processors, cause the one or more processors to perform operations. The operations include to receive bladder pressure readings of bladder pressure inside an air bladder of a mattress for a particular time; receive barometric pressure readings of barometric pressure in an ambient environment outside the mattress for the particular time; provide, as input to an ambient temperature classifier, the bladder pressure and the barometric pressure readings; and receive, as output from the ambient temperature classifier, an ambient temperature value for the particular time. Other embodiments of this aspect include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the methods. 
     Implementations may include one or more of the following features. The ambient temperature classifier is configured to determine temperature in the ambient environment by removing influence of the barometric pressure on the bladder pressure. The ambient temperature classifier is configured to: determine a thermal pressure value for the air bladder by reducing the bladder pressure readings based on the barometric pressure readings; and determine the ambient temperature value in a model of contents of the air bladder that relates thermal pressure to the ambient temperature. The model is based on an ideal gas law. The contents of the air bladder include both a gas and an open cell foam, and the model is further based on thermal expansion properties of the open cell foam. Implementations of the described techniques may include hardware, a method or process, or computer software on a computer-accessible medium. 
     One general aspect includes a method for measuring ambient temperature. 
     The method includes receiving bladder pressure readings of bladder pressure inside an air bladder of a mattress for a particular time; receiving barometric pressure readings of barometric pressure in an ambient environment outside the mattress for the particular time; providing, as input to an ambient temperature classifier, the bladder pressure and the barometric pressure readings; and receiving, as output from the ambient temperature classifier, an ambient temperature value for the particular time. Other embodiments of this aspect include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the methods. 
     Implementations may include one or more of the following features. The method may include determining, by the ambient temperature classifier, temperature in the ambient environment by removing influence of the barometric pressure on the bladder pressure. The method may include determining, by the ambient temperature classifier, a thermal pressure value for the air bladder by reducing the bladder pressure readings based on the barometric pressure readings; and determining, by the ambient temperature classifier, the ambient temperature value in a model of contents of the air bladder that relates thermal pressure to the ambient temperature. The model is based on an ideal gas law. Implementations of the described techniques may include hardware, a method or process, or computer software on a computer-accessible medium. 
     Implementations can include any, all, or none of the following features and advantages. For example, the disclosed techniques provide for automatic adjustment of ambient settings in an environment surrounding the bed system. A user can be sleeping in the bed system when a temperature in a room where the user is sleeping is rising. The multiple sensors configured to or in communication with the bed system can detect changes in pressure that cause the room temperature to rise. The controller can receive the detected sensor values and determine the temperature in the room. If the room temperature exceeds some threshold value, then the controller can determine that the room temperature should be adjusting by turning on an HVAC unit in the home. Thus, the temperature of the room can be adjusted to a more desirable temperature while the user is asleep, and without waking up the user. The user can therefore continue to experience comfortable and uninterrupted sleep. 
     As yet another example, the disclosed techniques allow for the bed system to act like a sensor. The bed system can efficiently track objects, such as users as they sleep, exit the bed system, and/or enter the bed system. The bed system can serve multiple purposes other than just a surface for users to sleep on by providing for improved home automation techniques to be determined and performed. 
     As another example, one or more of the multiple sensors described herein can cost less than other sensors. A barometric sensor can measure both barometric pressure and air temperature surrounding the bed system. The sensor can measure two different types of signals at a lower cost, thereby making implementation of the barometric sensor more affordable and attractive. 
     Other features, aspects and potential advantages will be apparent from the accompanying description and figures. 
    
    
     
       DESCRIPTION OF DRAWINGS 
         FIG.  1    shows an example air bed system. 
         FIG.  2    is a block diagram of an example of various components of an air bed system. 
         FIG.  3    shows an example environment including a bed in communication with devices located in and around a home. 
         FIGS.  4 A and  4 B  are block diagrams of example data processing systems that can be associated with a bed. 
         FIGS.  5  and  6    are block diagrams of examples of motherboards that can be used in a data processing system that can be associated with a bed. 
         FIG.  7    is a block diagram of an example of a daughterboard that can be used in a data processing system that can be associated with a bed. 
         FIG.  8    is a block diagram of an example of a motherboard with no daughterboard that can be used in a data processing system that can be associated with a bed. 
         FIG.  9    is a block diagram of an example of a sensory array that can be used in a data processing system that can be associated with a bed. 
         FIG.  10    is a block diagram of an example of a control array that can be used in a data processing system that can be associated with a bed 
         FIG.  11    is a block diagram of an example of a computing device that can be used in a data processing system that can be associated with a bed. 
         FIGS.  12 - 16    are block diagrams of example cloud services that can be used in a data processing system that can be associated with a bed. 
         FIG.  17    is a block diagram of an example of using a data processing system that can be associated with a bed to automate peripherals around the bed. 
         FIG.  18    is a schematic diagram that shows an example of a computing device and a mobile computing device. 
         FIG.  19    is a block diagram of an example bed system for determining ambient temperature in an environment surrounding the bed system. 
         FIG.  20    is a block diagram of components of the example bed system that can be used to determine ambient temperature in the environment surrounding the bed system. 
         FIG.  21    is a swimlane diagram of an example process for initiating a home automation event based on determining ambient temperature in an environment surrounding the example bed system of  FIG.  19   . 
     
    
    
     Like reference symbols in the various drawings indicate like elements. 
     DETAILED DESCRIPTION 
     This document generally relates to modifying an ambient environment based on determining ambient temperature values surrounding a bed system. The bed system can include (and/or be in communication with) multiple sensors that detect different types of pressure signals at the bed system. The multiple sensors can include a barometric sensor for measuring barometric pressure applied to the bed system, a microclimate temperature sensor for measuring temperature on a top surface of the bed system (e.g., user body temperature), and an air bladder pressure sensor for measuring pressure applied to an air bladder of the bed system. A controller for the bed system in communication with the multiple sensors can receive the pressure signals and, using an ambient temperature classifier, determine an ambient temperature value based on the pressure signals. 
     The ambient temperature value can indicate a temperature of an environment, such as a room, where the bed system is located. Based on the determined ambient temperature value, the controller can determine and/or initiate one or more home automation events. The home automation events can include adjusting a temperature in the room, such as turning an HVAC unit on or off in the home. The home automation events can also include adjusting settings of the bed system, such as turning heating or cooling elements on or off, adjusting pressure (e.g., firmness) settings of the bed system, and/or adjusting positioning of portions of the bed system (e.g., raising a head portion of the bed system, lowering a foot portion, etc.). One or more other home automation events are also possible. 
     Example Airbed Hardware 
       FIG.  1    shows an example air bed system  100  that includes a bed  112 . The bed  112  includes at least one air chamber  114  surrounded by a resilient border  116  and encapsulated by bed ticking  118 . The resilient border  116  can comprise any suitable material, such as foam. 
     As illustrated in  FIG.  1   , the bed  112  can be a two chamber design having first and second fluid chambers, such as a first air chamber  114 A and a second air chamber  114 B. In alternative embodiments, the bed  112  can include chambers for use with fluids other than air that are suitable for the application. In some embodiments, such as single beds or kids&#39; beds, the bed  112  can include a single air chamber  114 A or  114 B or multiple air chambers  114 A and  114 B. First and second air chambers  114 A and  114 B can be in fluid communication with a pump  120 . The pump  120  can be in electrical communication with a remote control  122  via control box  124 . The control box  124  can include a wired or wireless communications interface for communicating with one or more devices, including the remote control  122 . The control box  124  can be configured to operate the pump  120  to cause increases and decreases in the fluid pressure of the first and second air chambers  114 A and  114 B based upon commands input by a user using the remote control  122 . In some implementations, the control box  124  is integrated into a housing of the pump  120 . 
     The remote control  122  can include a display  126 , an output selecting mechanism  128 , a pressure increase button  129 , and a pressure decrease button  130 . The output selecting mechanism  128  can allow the user to switch air flow generated by the pump  120  between the first and second air chambers  114 A and  114 B, thus enabling control of multiple air chambers with a single remote control  122  and a single pump  120 . For example, the output selecting mechanism  128  can by a physical control (e.g., switch or button) or an input control displayed on display  126 . Alternatively, separate remote control units can be provided for each air chamber and can each include the ability to control multiple air chambers. Pressure increase and decrease buttons  129  and  130  can allow a user to increase or decrease the pressure, respectively, in the air chamber selected with the output selecting mechanism  128 . Adjusting the pressure within the selected air chamber can cause a corresponding adjustment to the firmness of the respective air chamber. In some embodiments, the remote control  122  can be omitted or modified as appropriate for an application. For example, in some embodiments the bed  112  can be controlled by a computer, tablet, smart phone, or other device in wired or wireless communication with the bed  112 . 
       FIG.  2    is a block diagram of an example of various components of an air bed system. For example, these components can be used in the example air bed system  100 . As shown in  FIG.  2   , the control box  124  can include a power supply  134 , a processor  136 , a memory  137 , a switching mechanism  138 , and an analog to digital (A/D) converter  140 . The switching mechanism  138  can be, for example, a relay or a solid state switch. In some implementations, the switching mechanism  138  can be located in the pump  120  rather than the control box  124 . 
     The pump  120  and the remote control  122  are in two-way communication with the control box  124 . The pump  120  includes a motor  142 , a pump manifold  143 , a relief valve  144 , a first control valve  145 A, a second control valve  145 B, and a pressure transducer  146 . The pump  120  is fluidly connected with the first air chamber  114 A and the second air chamber  114 B via a first tube  148 A and a second tube  148 B, respectively. The first and second control valves  145 A and  145 B can be controlled by switching mechanism  138 , and are operable to regulate the flow of fluid between the pump  120  and first and second air chambers  114 A and  114 B, respectively. 
     In some implementations, the pump  120  and the control box  124  can be provided and packaged as a single unit. In some alternative implementations, the pump  120  and the control box  124  can be provided as physically separate units. In some implementations, the control box  124 , the pump  120 , or both are integrated within or otherwise contained within a bed frame or bed support structure that supports the bed  112 . In some implementations, the control box  124 , the pump  120 , or both are located outside of a bed frame or bed support structure (as shown in the example in  FIG.  1   ). 
     The example air bed system  100  depicted in  FIG.  2    includes the two air chambers  114 A and  114 B and the single pump  120 . However, other implementations can include an air bed system having two or more air chambers and one or more pumps incorporated into the air bed system to control the air chambers. For example, a separate pump can be associated with each air chamber of the air bed system or a pump can be associated with multiple chambers of the air bed system. Separate pumps can allow each air chamber to be inflated or deflated independently and simultaneously. Furthermore, additional pressure transducers can also be incorporated into the air bed system such that, for example, a separate pressure transducer can be associated with each air chamber. 
     In use, the processor  136  can, for example, send a decrease pressure command to one of air chambers  114 A or  114 B, and the switching mechanism  138  can be used to convert the low voltage command signals sent by the processor  136  to higher operating voltages sufficient to operate the relief valve  144  of the pump  120  and open the control valve  145 A or  145 B. Opening the relief valve  144  can allow air to escape from the air chamber  114 A or  114 B through the respective air tube  148 A or  148 B. During deflation, the pressure transducer  146  can send pressure readings to the processor  136  via the A/D converter  140 . The A/D converter  140  can receive analog information from pressure transducer  146  and can convert the analog information to digital information useable by the processor  136 . The processor  136  can send the digital signal to the remote control  122  to update the display  126  in order to convey the pressure information to the user. 
     As another example, the processor  136  can send an increase pressure command. The pump motor  142  can be energized in response to the increase pressure command and send air to the designated one of the air chambers  114 A or  114 B through the air tube  148 A or  148 B via electronically operating the corresponding valve  145 A or  145 B. While air is being delivered to the designated air chamber  114 A or  114 B in order to increase the firmness of the chamber, the pressure transducer  146  can sense pressure within the pump manifold  143 . Again, the pressure transducer  146  can send pressure readings to the processor  136  via the A/D converter  140 . The processor  136  can use the information received from the A/D converter  140  to determine the difference between the actual pressure in air chamber  114 A or  114 B and the desired pressure. The processor  136  can send the digital signal to the remote control  122  to update display  126  in order to convey the pressure information to the user. 
     Generally speaking, during an inflation or deflation process, the pressure sensed within the pump manifold  143  can provide an approximation of the pressure within the respective air chamber that is in fluid communication with the pump manifold  143 . An example method of obtaining a pump manifold pressure reading that is substantially equivalent to the actual pressure within an air chamber includes turning off pump  120 , allowing the pressure within the air chamber  114 A or  114 B and the pump manifold  143  to equalize, and then sensing the pressure within the pump manifold  143  with the pressure transducer  146 . Thus, providing a sufficient amount of time to allow the pressures within the pump manifold  143  and chamber  114 A or  114 B to equalize can result in pressure readings that are accurate approximations of the actual pressure within air chamber  114 A or  114 B. In some implementations, the pressure of the air chambers  114 A and/or  114 B can be continuously monitored using multiple pressure sensors (not shown). 
     In some implementations, information collected by the pressure transducer  146  can be analyzed to determine various states of a person lying on the bed  112 . For example, the processor  136  can use information collected by the pressure transducer  146  to determine a heart rate or a respiration rate for a person lying in the bed  112 . For example, a user can be lying on a side of the bed  112  that includes the chamber  114 A. The pressure transducer  146  can monitor fluctuations in pressure of the chamber  114 A and this information can be used to determine the user&#39;s heart rate and/or respiration rate. As another example, additional processing can be performed using the collected data to determine a sleep state of the person (e.g., awake, light sleep, deep sleep). For example, the processor  136  can determine when a person falls asleep and, while asleep, the various sleep states of the person. 
     Additional information associated with a user of the air bed system  100  that can be determined using information collected by the pressure transducer  146  includes motion of the user, presence of the user on a surface of the bed  112 , weight of the user, heart arrhythmia of the user, and apnea. Taking user presence detection for example, the pressure transducer  146  can be used to detect the user&#39;s presence on the bed  112 , e.g., via a gross pressure change determination and/or via one or more of a respiration rate signal, heart rate signal, and/or other biometric signals. For example, a simple pressure detection process can identify an increase in pressure as an indication that the user is present on the bed  112 . As another example, the processor  136  can determine that the user is present on the bed  112  if the detected pressure increases above a specified threshold (so as to indicate that a person or other object above a certain weight is positioned on the bed  112 ). As yet another example, the processor  136  can identify an increase in pressure in combination with detected slight, rhythmic fluctuations in pressure as corresponding to the user being present on the bed  112 . The presence of rhythmic fluctuations can be identified as being caused by respiration or heart rhythm (or both) of the user. The detection of respiration or a heartbeat can distinguish between the user being present on the bed and another object (e.g., a suit case) being placed upon the bed. 
     In some implementations, fluctuations in pressure can be measured at the pump  120 . For example, one or more pressure sensors can be located within one or more internal cavities of the pump  120  to detect fluctuations in pressure within the pump  120 . The fluctuations in pressure detected at the pump  120  can indicate fluctuations in pressure in one or both of the chambers  114 A and  114 B. One or more sensors located at the pump  120  can be in fluid communication with the one or both of the chambers  114 A and  114 B, and the sensors can be operative to determine pressure within the chambers  114 A and  114 B. The control box  124  can be configured to determine at least one vital sign (e.g., heart rate, respiratory rate) based on the pressure within the chamber  114 A or the chamber  114 B. 
     In some implementations, the control box  124  can analyze a pressure signal detected by one or more pressure sensors to determine a heart rate, respiration rate, and/or other vital signs of a user lying or sitting on the chamber  114 A or the chamber  114 B. More specifically, when a user lies on the bed  112  positioned over the chamber  114 A, each of the user&#39;s heart beats, breaths, and other movements can create a force on the bed  112  that is transmitted to the chamber  114 A. As a result of the force input to the chamber  114 A from the user&#39;s movement, a wave can propagate through the chamber  114 A and into the pump  120 . A pressure sensor located at the pump  120  can detect the wave, and thus the pressure signal output by the sensor can indicate a heart rate, respiratory rate, or other information regarding the user. 
     With regard to sleep state, air bed system  100  can determine a user&#39;s sleep state by using various biometric signals such as heart rate, respiration, temperature, and/or movement of the user. While the user is sleeping, the processor  136  can receive one or more of the user&#39;s biometric signals (e.g., heart rate, respiration, and motion) and determine the user&#39;s present sleep state based on the received biometric signals. In some implementations, signals indicating fluctuations in pressure in one or both of the chambers  114 A and  114 B can be amplified and/or filtered to allow for more precise detection of heart rate and respiratory rate. 
     The control box  124  can perform a pattern recognition algorithm or other calculation based on the amplified and filtered pressure signal to determine the user&#39;s heart rate and respiratory rate. For example, the algorithm or calculation can be based on assumptions that a heart rate portion of the signal has a frequency in the range of 0.5-4.0 Hz and that a respiration rate portion of the signal a has a frequency in the range of less than 1 Hz. The control box  124  can also be configured to determine other characteristics of a user based on the received pressure signal, such as blood pressure, tossing and turning movements, rolling movements, limb movements, weight, the presence or lack of presence of a user, and/or the identity of the user. Techniques for monitoring a user&#39;s sleep using heart rate information, respiration rate information, and other user information are disclosed in U.S. Patent Application Publication No. 20100170043 to Steven J. Young et al., titled “APPARATUS FOR MONITORING VITAL SIGNS,” the entire contents of which is incorporated herein by reference. 
     For example, the pressure transducer  146  can be used to monitor the air pressure in the chambers  114 A and  114 B of the bed  112 . If the user on the bed  112  is not moving, the air pressure changes in the air chamber  114 A or  114 B can be relatively minimal, and can be attributable to respiration and/or heartbeat. When the user on the bed  112  is moving, however, the air pressure in the mattress can fluctuate by a much larger amount. Thus, the pressure signals generated by the pressure transducer  146  and received by the processor  136  can be filtered and indicated as corresponding to motion, heartbeat, or respiration. 
     In some implementations, rather than performing the data analysis in the control box  124  with the processor  136 , a digital signal processor (DSP) can be provided to analyze the data collected by the pressure transducer  146 . Alternatively, the data collected by the pressure transducer  146  could be sent to a cloud-based computing system for remote analysis. 
     In some implementations, the example air bed system  100  further includes a temperature controller configured to increase, decrease, or maintain the temperature of a bed, for example for the comfort of the user. For example, a pad can be placed on top of or be part of the bed  112 , or can be placed on top of or be part of one or both of the chambers  114 A and  114 B. Air can be pushed through the pad and vented to cool off a user of the bed. Conversely, the pad can include a heating element that can be used to keep the user warm. In some implementations, the temperature controller can receive temperature readings from the pad. In some implementations, separate pads are used for the different sides of the bed  112  (e.g., corresponding to the locations of the chambers  114 A and  114 B) to provide for differing temperature control for the different sides of the bed. 
     In some implementations, the user of the air bed system  100  can use an input device, such as the remote control  122 , to input a desired temperature for the surface of the bed  112  (or for a portion of the surface of the bed  112 ). The desired temperature can be encapsulated in a command data structure that includes the desired temperature as well as identifies the temperature controller as the desired component to be controlled. The command data structure can then be transmitted via Bluetooth or another suitable communication protocol to the processor  136 . In various examples, the command data structure is encrypted before being transmitted. The temperature controller can then configure its elements to increase or decrease the temperature of the pad depending on the temperature input into remote control  122  by the user. 
     In some implementations, data can be transmitted from a component back to the processor  136  or to one or more display devices, such as the display  126 . For example, the current temperature as determined by a sensor element of temperature controller, the pressure of the bed, the current position of the foundation or other information can be transmitted to control box  124 . The control box  124  can then transmit the received information to remote control  122  where it can be displayed to the user (e.g., on the display  126 ). 
     In some implementations, the example air bed system  100  further includes an adjustable foundation and an articulation controller configured to adjust the position of a bed (e.g., the bed  112 ) by adjusting the adjustable foundation that supports the bed. For example, the articulation controller can adjust the bed  112  from a flat position to a position in which a head portion of a mattress of the bed is inclined upward (e.g., to facilitate a user sitting up in bed and/or watching television). In some implementations, the bed  112  includes multiple separately articulable sections. For example, portions of the bed corresponding to the locations of the chambers  114 A and  114 B can be articulated independently from each other, to allow one person positioned on the bed  112  surface to rest in a first position (e.g., a flat position) while a second person rests in a second position (e.g., an reclining position with the head raised at an angle from the waist). In some implementations, separate positions can be set for two different beds (e.g., two twin beds placed next to each other). The foundation of the bed  112  can include more than one zone that can be independently adjusted. The articulation controller can also be configured to provide different levels of massage to one or more users on the bed  112 . 
     Example of a Bed in a Bedroom Environment 
       FIG.  3    shows an example environment  300  including a bed  302  in communication with devices located in and around a home. In the example shown, the bed  302  includes pump  304  for controlling air pressure within two air chambers  306   a  and  306   b  (as described above with respect to the air chambers  114 A- 114 B). The pump  304  additionally includes circuitry for controlling inflation and deflation functionality performed by the pump  304 . The circuitry is further programmed to detect fluctuations in air pressure of the air chambers  306   a - b  and used the detected fluctuations in air pressure to identify bed presence of a user  308 , sleep state of the user  308 , movement of the user  308 , and biometric signals of the user  308  such as heart rate and respiration rate. In the example shown, the pump  304  is located within a support structure of the bed  302  and the control circuitry  334  for controlling the pump  304  is integrated with the pump  304 . In some implementations, the control circuitry  334  is physically separate from the pump  304  and is in wireless or wired communication with the pump  304 . In some implementations, the pump  304  and/or control circuitry  334  are located outside of the bed  302 . In some implementations, various control functions can be performed by systems located in different physical locations. For example, circuitry for controlling actions of the pump  304  can be located within a pump casing of the pump  304  while control circuitry  334  for performing other functions associated with the bed  302  can be located in another portion of the bed  302 , or external to the bed  302 . As another example, control circuitry  334  located within the pump  304  can communicate with control circuitry  334  at a remote location through a LAN or WAN (e.g., the internet). As yet another example, the control circuitry  334  can be included in the control box  124  of  FIGS.  1  and  2   . 
     In some implementations, one or more devices other than, or in addition to, the pump  304  and control circuitry  334  can be utilized to identify user bed presence, sleep state, movement, and biometric signals. For example, the bed  302  can include a second pump in addition to the pump  304 , with each of the two pumps connected to a respective one of the air chambers  306   a - b . For example, the pump  304  can be in fluid communication with the air chamber  306   b  to control inflation and deflation of the air chamber  306   b  as well as detect user signals for a user located over the air chamber  306   b  such as bed presence, sleep state, movement, and biometric signals while the second pump is in fluid communication with the air chamber  306   a  to control inflation and deflation of the air chamber  306   a  as well as detect user signals for a user located over the air chamber  306   a.    
     As another example, the bed  302  can include one or more pressure sensitive pads or surface portions that are operable to detect movement, including user presence, user motion, respiration, and heart rate. For example, a first pressure sensitive pad can be incorporated into a surface of the bed  302  over a left portion of the bed  302 , where a first user would normally be located during sleep, and a second pressure sensitive pad can be incorporated into the surface of the bed  302  over a right portion of the bed  302 , where a second user would normally be located during sleep. The movement detected by the one or more pressure sensitive pads or surface portions can be used by control circuitry  334  to identify user sleep state, bed presence, or biometric signals. 
     In some implementations, information detected by the bed (e.g., motion information) is processed by control circuitry  334  (e.g., control circuitry  334  integrated with the pump  304 ) and provided to one or more user devices such as a user device  310  for presentation to the user  308  or to other users. In the example depicted in  FIG.  3   , the user device  310  is a tablet device; however, in some implementations, the user device  310  can be a personal computer, a smart phone, a smart television (e.g., a television  312 ), or other user device capable of wired or wireless communication with the control circuitry  334 . The user device  310  can be in communication with control circuitry  334  of the bed  302  through a network or through direct point-to-point communication. For example, the control circuitry  334  can be connected to a LAN (e.g., through a Wi-Fi router) and communicate with the user device  310  through the LAN. As another example, the control circuitry  334  and the user device  310  can both connect to the Internet and communicate through the Internet. For example, the control circuitry  334  can connect to the Internet through a WiFi router and the user device  310  can connect to the Internet through communication with a cellular communication system. As another example, the control circuitry  334  can communicate directly with the user device  310  through a wireless communication protocol such as Bluetooth. As yet another example, the control circuitry  334  can communicate with the user device  310  through a wireless communication protocol such as ZigBee, Z-Wave, infrared, or another wireless communication protocol suitable for the application. As another example, the control circuitry  334  can communicate with the user device  310  through a wired connection such as, for example, a USB connector, serial/RS232, or another wired connection suitable for the application. 
     The user device  310  can display a variety of information and statistics related to sleep, or user  308 &#39;s interaction with the bed  302 . For example, a user interface displayed by the user device  310  can present information including amount of sleep for the user  308  over a period of time (e.g., a single evening, a week, a month, etc.) amount of deep sleep, ratio of deep sleep to restless sleep, time lapse between the user  308  getting into bed and the user  308  falling asleep, total amount of time spent in the bed  302  for a given period of time, heart rate for the user  308  over a period of time, respiration rate for the user  308  over a period of time, or other information related to user interaction with the bed  302  by the user  308  or one or more other users of the bed  302 . In some implementations, information for multiple users can be presented on the user device  310 , for example information for a first user positioned over the air chamber  306   a  can be presented along with information for a second user positioned over the air chamber  306   b.    
     In some implementations, the information presented on the user device  310  can vary according to the age of the user  308 . For example, the information presented on the user device  310  can evolve with the age of the user  308  such that different information is presented on the user device  310  as the user  308  ages as a child or an adult. 
     The user device  310  can also be used as an interface for the control circuitry  334  of the bed  302  to allow the user  308  to enter information. The information entered by the user  308  can be used by the control circuitry  334  to provide better information to the user or to various control signals for controlling functions of the bed  302  or other devices. For example, the user can enter information such as weight, height, and age and the control circuitry  334  can use this information to provide the user  308  with a comparison of the user&#39;s tracked sleep information to sleep information of other people having similar weights, heights, and/or ages as the user  308 . As another example, the user  308  can use the user device  310  as an interface for controlling air pressure of the air chambers  306   a  and  306   b , for controlling various recline or incline positions of the bed  302 , for controlling temperature of one or more surface temperature control devices of the bed  302 , or for allowing the control circuitry  334  to generate control signals for other devices (as described in greater detail below). 
     In some implementations, control circuitry  334  of the bed  302  (e.g., control circuitry  334  integrated into the pump  304 ) can communicate with other first, second, or third party devices or systems in addition to or instead of the user device  310 . For example, the control circuitry  334  can communicate with the television  312 , a lighting system  314 , a thermostat  316 , a security system  318 , or other house hold devices such as an oven  322 , a coffee maker  324 , a lamp  326 , and a nightlight  328 . Other examples of devices and/or systems that the control circuitry  334  can communicate with include a system for controlling window blinds  330 , one or more devices for detecting or controlling the states of one or more doors  332  (such as detecting if a door is open, detecting if a door is locked, or automatically locking a door), and a system for controlling a garage door  320  (e.g., control circuitry  334  integrated with a garage door opener for identifying an open or closed state of the garage door  320  and for causing the garage door opener to open or close the garage door  320 ). Communications between the control circuitry  334  of the bed  302  and other devices can occur through a network (e.g., a LAN or the Internet) or as point-to-point communication (e.g., using Bluetooth, radio communication, or a wired connection). In some implementations, control circuitry  334  of different beds  302  can communicate with different sets of devices. For example, a kid bed may not communicate with and/or control the same devices as an adult bed. In some embodiments, the bed  302  can evolve with the age of the user such that the control circuitry  334  of the bed  302  communicates with different devices as a function of age of the user. 
     The control circuitry  334  can receive information and inputs from other devices/systems and use the received information and inputs to control actions of the bed  302  or other devices. For example, the control circuitry  334  can receive information from the thermostat  316  indicating a current environmental temperature for a house or room in which the bed  302  is located. The control circuitry  334  can use the received information (along with other information) to determine if a temperature of all or a portion of the surface of the bed  302  should be raised or lowered. The control circuitry  334  can then cause a heating or cooling mechanism of the bed  302  to raise or lower the temperature of the surface of the bed  302 . For example, the user  308  can indicate a desired sleeping temperature of 74 degrees while a second user of the bed  302  indicates a desired sleeping temperature of 72 degrees. The thermostat  316  can indicate to the control circuitry  334  that the current temperature of the bedroom is 72 degrees. The control circuitry  334  can identify that the user  308  has indicated a desired sleeping temperature of 74 degrees, and send control signals to a heating pad located on the user  308 &#39;s side of the bed to raise the temperature of the portion of the surface of the bed  302  where the user  308  is located to raise the temperature of the user  308 &#39;s sleeping surface to the desired temperature. 
     The control circuitry  334  can also generate control signals controlling other devices and propagate the control signals to the other devices. In some implementations, the control signals are generated based on information collected by the control circuitry  334 , including information related to user interaction with the bed  302  by the user  308  and/or one or more other users. In some implementations, information collected from one or more other devices other than the bed  302  are used when generating the control signals. For example, information relating to environmental occurrences (e.g., environmental temperature, environmental noise level, and environmental light level), time of day, time of year, day of the week, or other information can be used when generating control signals for various devices in communication with the control circuitry  334  of the bed  302 . For example, information on the time of day can be combined with information relating to movement and bed presence of the user  308  to generate control signals for the lighting system  314 . In some implementations, rather than or in addition to providing control signals for one or more other devices, the control circuitry  334  can provide collected information (e.g., information related to user movement, bed presence, sleep state, or biometric signals for the user  308 ) to one or more other devices to allow the one or more other devices to utilize the collected information when generating control signals. For example, control circuitry  334  of the bed  302  can provide information relating to user interactions with the bed  302  by the user  308  to a central controller (not shown) that can use the provided information to generate control signals for various devices, including the bed  302 . 
     Still referring to  FIG.  3   , the control circuitry  334  of the bed  302  can generate control signals for controlling actions of other devices, and transmit the control signals to the other devices in response to information collected by the control circuitry  334 , including bed presence of the user  308 , sleep state of the user  308 , and other factors. For example, control circuitry  334  integrated with the pump  304  can detect a feature of a mattress of the bed  302 , such as an increase in pressure in the air chamber  306   b , and use this detected increase in air pressure to determine that the user  308  is present on the bed  302 . In some implementations, the control circuitry  334  can identify a heart rate or respiratory rate for the user  308  to identify that the increase in pressure is due to a person sitting, laying, or otherwise resting on the bed  302  rather than an inanimate object (such as a suitcase) having been placed on the bed  302 . In some implementations, the information indicating user bed presence is combined with other information to identify a current or future likely state for the user  308 . For example, a detected user bed presence at 11:00 am can indicate that the user is sitting on the bed (e.g., to tie her shoes, or to read a book) and does not intend to go to sleep, while a detected user bed presence at 10:00 pm can indicate that the user  308  is in bed for the evening and is intending to fall asleep soon. As another example, if the control circuitry  334  detects that the user  308  has left the bed  302  at 6:30 am (e.g., indicating that the user  308  has woken up for the day), and then later detects user bed presence of the user  308  at 7:30 am, the control circuitry  334  can use this information that the newly detected user bed presence is likely temporary (e.g., while the user  308  ties her shoes before heading to work) rather than an indication that the user  308  is intending to stay on the bed  302  for an extended period. 
     In some implementations, the control circuitry  334  is able to use collected information (including information related to user interaction with the bed  302  by the user  308 , as well as environmental information, time information, and input received from the user) to identify use patterns for the user  308 . For example, the control circuitry  334  can use information indicating bed presence and sleep states for the user  308  collected over a period of time to identify a sleep pattern for the user. For example, the control circuitry  334  can identify that the user  308  generally goes to bed between 9:30 pm and 10:00 pm, generally falls asleep between 10:00 pm and 11:00 pm, and generally wakes up between 6:30 am and 6:45 am based on information indicating user presence and biometrics for the user  308  collected over a week. The control circuitry  334  can use identified patterns for a user to better process and identify user interactions with the bed  302  by the user  308 . 
     For example, given the above example user bed presence, sleep, and wake patterns for the user  308 , if the user  308  is detected as being on the bed at 3:00 pm, the control circuitry  334  can determine that the user&#39;s presence on the bed is only temporary, and use this determination to generate different control signals than would be generated if the control circuitry  334  determined that the user  308  was in bed for the evening. As another example, if the control circuitry  334  detects that the user  308  has gotten out of bed at 3:00 am, the control circuitry  334  can use identified patterns for the user  308  to determine that the user has only gotten up temporarily (for example, to use the rest room, or get a glass of water) and is not up for the day. By contrast, if the control circuitry  334  identifies that the user  308  has gotten out of the bed  302  at 6:40 am, the control circuitry  334  can determine that the user is up for the day and generate a different set of control signals than those that would be generated if it were determined that the user  308  were only getting out of bed temporarily (as would be the case when the user  308  gets out of the bed  302  at 3:00 am). For other users  308 , getting out of the bed  302  at 3:00 am can be the normal wake-up time, which the control circuitry  334  can learn and respond to accordingly. 
     As described above, the control circuitry  334  for the bed  302  can generate control signals for control functions of various other devices. The control signals can be generated, at least in part, based on detected interactions by the user  308  with the bed  302 , as well as other information including time, date, temperature, etc. For example, the control circuitry  334  can communicate with the television  312 , receive information from the television  312 , and generate control signals for controlling functions of the television  312 . For example, the control circuitry  334  can receive an indication from the television  312  that the television  312  is currently on. If the television  312  is located in a different room from the bed  302 , the control circuitry  334  can generate a control signal to turn the television  312  off upon making a determination that the user  308  has gone to bed for the evening. For example, if bed presence of the user  308  on the bed  302  is detected during a particular time range (e.g., between 8:00 pm and 7:00 am) and persists for longer than a threshold period of time (e.g., 10 minutes) the control circuitry  334  can use this information to determine that the user  308  is in bed for the evening. If the television  312  is on (as indicated by communications received by the control circuitry  334  of the bed  302  from the television  312 ) the control circuitry  334  can generate a control signal to turn the television  312  off. The control signals can then be transmitted to the television (e.g., through a directed communication link between the television  312  and the control circuitry  334  or through a network). As another example, rather than turning off the television  312  in response to detection of user bed presence, the control circuitry  334  can generate a control signal that causes the volume of the television  312  to be lowered by a pre-specified amount. 
     As another example, upon detecting that the user  308  has left the bed  302  during a specified time range (e.g., between 6:00 am and 8:00 am) the control circuitry  334  can generate control signals to cause the television  312  to turn on and tune to a pre-specified channel (e.g., the user  308  has indicated a preference for watching the morning news upon getting out of bed in the morning). The control circuitry  334  can generate the control signal and transmit the signal to the television  312  to cause the television  312  to turn on and tune to the desired station (which could be stored at the control circuitry  334 , the television  312 , or another location). As another example, upon detecting that the user  308  has gotten up for the day, the control circuitry  334  can generate and transmit control signals to cause the television  312  to turn on and begin playing a previously recorded program from a digital video recorder (DVR) in communication with the television  312 . 
     As another example, if the television  312  is in the same room as the bed  302 , the control circuitry  334  does not cause the television  312  to turn off in response to detection of user bed presence. Rather, the control circuitry  334  can generate and transmit control signals to cause the television  312  to turn off in response to determining that the user  308  is asleep. For example, the control circuitry  334  can monitor biometric signals of the user  308  (e.g., motion, heart rate, respiration rate) to determine that the user  308  has fallen asleep. Upon detecting that the user  308  is sleeping, the control circuitry  334  generates and transmits a control signal to turn the television  312  off. As another example, the control circuitry  334  can generate the control signal to turn off the television  312  after a threshold period of time after the user  308  has fallen asleep (e.g., 10 minutes after the user has fallen asleep). As another example, the control circuitry  334  generates control signals to lower the volume of the television  312  after determining that the user  308  is asleep. As yet another example, the control circuitry  334  generates and transmits a control signal to cause the television to gradually lower in volume over a period of time and then turn off in response to determining that the user  308  is asleep. 
     In some implementations, the control circuitry  334  can similarly interact with other media devices, such as computers, tablets, smart phones, stereo systems, etc. For example, upon detecting that the user  308  is asleep, the control circuitry  334  can generate and transmit a control signal to the user device  310  to cause the user device  310  to turn off, or turn down the volume on a video or audio file being played by the user device  310 . 
     The control circuitry  334  can additionally communicate with the lighting system  314 , receive information from the lighting system  314 , and generate control signals for controlling functions of the lighting system  314 . For example, upon detecting user bed presence on the bed  302  during a certain time frame (e.g., between 8:00 pm and 7:00 am) that lasts for longer than a threshold period of time (e.g., 10 minutes) the control circuitry  334  of the bed  302  can determine that the user  308  is in bed for the evening. In response to this determination, the control circuitry  334  can generate control signals to cause lights in one or more rooms other than the room in which the bed  302  is located to switch off. The control signals can then be transmitted to the lighting system  314  and executed by the lighting system  314  to cause the lights in the indicated rooms to shut off 
     For example, the control circuitry  334  can generate and transmit control signals to turn off lights in all common rooms, but not in other bedrooms. As another example, the control signals generated by the control circuitry  334  can indicate that lights in all rooms other than the room in which the bed  302  is located are to be turned off, while one or more lights located outside of the house containing the bed  302  are to be turned on, in response to determining that the user  308  is in bed for the evening. Additionally, the control circuitry  334  can generate and transmit control signals to cause the nightlight  328  to turn on in response to determining user  308  bed presence or whether the user  308  is asleep. As another example, the control circuitry  334  can generate first control signals for turning off a first set of lights (e.g., lights in common rooms) in response to detecting user bed presence, and second control signals for turning off a second set of lights (e.g., lights in the room in which the bed  302  is located) in response to detecting that the user  308  is asleep. 
     In some implementations, in response to determining that the user  308  is in bed for the evening, the control circuitry  334  of the bed  302  can generate control signals to cause the lighting system  314  to implement a sunset lighting scheme in the room in which the bed  302  is located. A sunset lighting scheme can include, for example, dimming the lights (either gradually over time, or all at once) in combination with changing the color of the light in the bedroom environment, such as adding an amber hue to the lighting in the bedroom. The sunset lighting scheme can help to put the user  308  to sleep when the control circuitry  334  has determined that the user  308  is in bed for the evening. 
     The control circuitry  334  can also be configured to implement a sunrise lighting scheme when the user  308  wakes up in the morning. The control circuitry  334  can determine that the user  308  is awake for the day, for example, by detecting that the user  308  has gotten off of the bed  302  (i.e., is no longer present on the bed  302 ) during a specified time frame (e.g., between 6:00 am and 8:00 am). As another example, the control circuitry  334  can monitor movement, heart rate, respiratory rate, or other biometric signals of the user  308  to determine that the user  308  is awake even though the user  308  has not gotten out of bed. If the control circuitry  334  detects that the user is awake during a specified time frame, the control circuitry  334  can determine that the user  308  is awake for the day. The specified time frame can be, for example, based on previously recorded user bed presence information collected over a period of time (e.g., two weeks) that indicates that the user  308  usually wakes up for the day between 6:30 am and 7:30 am. In response to the control circuitry  334  determining that the user  308  is awake, the control circuitry  334  can generate control signals to cause the lighting system  314  to implement the sunrise lighting scheme in the bedroom in which the bed  302  is located. The sunrise lighting scheme can include, for example, turning on lights (e.g., the lamp  326 , or other lights in the bedroom). The sunrise lighting scheme can further include gradually increasing the level of light in the room where the bed  302  is located (or in one or more other rooms). The sunrise lighting scheme can also include only turning on lights of specified colors. For example, the sunrise lighting scheme can include lighting the bedroom with blue light to gently assist the user  308  in waking up and becoming active. 
     In some implementations, the control circuitry  334  can generate different control signals for controlling actions of one or more components, such as the lighting system  314 , depending on a time of day that user interactions with the bed  302  are detected. For example, the control circuitry  334  can use historical user interaction information for interactions between the user  308  and the bed  302  to determine that the user  308  usually falls asleep between 10:00 pm and 11:00 pm and usually wakes up between 6:30 am and 7:30 am on weekdays. The control circuitry  334  can use this information to generate a first set of control signals for controlling the lighting system  314  if the user  308  is detected as getting out of bed at 3:00 am and to generate a second set of control signals for controlling the lighting system  314  if the user  308  is detected as getting out of bed after 6:30 am. For example, if the user  308  gets out of bed prior to 6:30 am, the control circuitry  334  can turn on lights that guide the user  308 &#39;s route to a restroom. As another example, if the user  308  gets out of bed prior to 6:30 am, the control circuitry  334  can turn on lights that guide the user  308 &#39;s route to the kitchen (which can include, for example, turning on the nightlight  328 , turning on under bed lighting, or turning on the lamp  326 ). 
     As another example, if the user  308  gets out of bed after 6:30 am, the control circuitry  334  can generate control signals to cause the lighting system  314  to initiate a sunrise lighting scheme, or to turn on one or more lights in the bedroom and/or other rooms. In some implementations, if the user  308  is detected as getting out of bed prior to a specified morning rise time for the user  308 , the control circuitry  334  causes the lighting system  314  to turn on lights that are dimmer than lights that are turned on by the lighting system  314  if the user  308  is detected as getting out of bed after the specified morning rise time. Causing the lighting system  314  to only turn on dim lights when the user  308  gets out of bed during the night (i.e., prior to normal rise time for the user  308 ) can prevent other occupants of the house from being woken by the lights while still allowing the user  308  to see in order to reach the restroom, kitchen, or another destination within the house. 
     The historical user interaction information for interactions between the user  308  and the bed  302  can be used to identify user sleep and awake time frames. For example, user bed presence times and sleep times can be determined for a set period of time (e.g., two weeks, a month, etc.). The control circuitry  334  can then identify a typical time range or time frame in which the user  308  goes to bed, a typical time frame for when the user  308  falls asleep, and a typical time frame for when the user  308  wakes up (and in some cases, different time frames for when the user  308  wakes up and when the user  308  actually gets out of bed). In some implementations, buffer time can be added to these time frames. For example, if the user is identified as typically going to bed between 10:00 pm and 10:30 pm, a buffer of a half hour in each direction can be added to the time frame such that any detection of the user getting onto the bed between 9:30 pm and 11:00 pm is interpreted as the user  308  going to bed for the evening. As another example, detection of bed presence of the user  308  starting from a half hour before the earliest typical time that the user  308  goes to bed extending until the typical wake up time (e.g., 6:30 am) for the user can be interpreted as the user going to bed for the evening. For example, if the user typically goes to bed between 10:00 pm and 10:30 pm, if the user&#39;s bed presence is sensed at 12:30 am one night, that can be interpreted as the user getting into bed for the evening even though this is outside of the user&#39;s typical time frame for going to bed because it has occurred prior to the user&#39;s normal wake up time. In some implementations, different time frames are identified for different times of the year (e.g., earlier bed time during winter vs. summer) or at different times of the week (e.g., user wakes up earlier on weekdays than on weekends). 
     The control circuitry  334  can distinguish between the user  308  going to bed for an extended period (such as for the night) as opposed to being present on the bed  302  for a shorter period (such as for a nap) by sensing duration of presence of the user  308 . In some examples, the control circuitry  334  can distinguish between the user  308  going to bed for an extended period (such as for the night) as opposed to going to bed for a shorter period (such as for a nap) by sensing duration of sleep of the user  308 . For example, the control circuitry  334  can set a time threshold whereby if the user  308  is sensed on the bed  302  for longer than the threshold, the user  308  is considered to have gone to bed for the night. In some examples, the threshold can be about 2 hours, whereby if the user  308  is sensed on the bed  302  for greater than 2 hours, the control circuitry  334  registers that as an extended sleep event. In other examples, the threshold can be greater than or less than two hours. 
     The control circuitry  334  can detect repeated extended sleep events to determine a typical bed time range of the user  308  automatically, without requiring the user  308  to enter a bed time range. This can allow the control circuitry  334  to accurately estimate when the user  308  is likely to go to bed for an extended sleep event, regardless of whether the user  308  typically goes to bed using a traditional sleep schedule or a non-traditional sleep schedule. The control circuitry  334  can then use knowledge of the bed time range of the user  308  to control one or more components (including components of the bed  302  and/or non-bed peripherals) differently based on sensing bed presence during the bed time range or outside of the bed time range. 
     In some examples, the control circuitry  334  can automatically determine the bed time range of the user  308  without requiring user inputs. In some examples, the control circuitry  334  can determine the bed time range of the user  308  automatically and in combination with user inputs. In some examples, the control circuitry  334  can set the bed time range directly according to user inputs. In some examples, the control circuity  334  can associate different bed times with different days of the week. In each of these examples, the control circuitry  334  can control one or more components (such as the lighting system  314 , the thermostat  316 , the security system  318 , the oven  322 , the coffee maker  324 , the lamp  326 , and the nightlight  328 ), as a function of sensed bed presence and the bed time range. 
     The control circuitry  334  can additionally communicate with the thermostat  316 , receive information from the thermostat  316 , and generate control signals for controlling functions of the thermostat  316 . For example, the user  308  can indicate user preferences for different temperatures at different times, depending on the sleep state or bed presence of the user  308 . For example, the user  308  may prefer an environmental temperature of 72 degrees when out of bed, 70 degrees when in bed but awake, and  68  degrees when sleeping. The control circuitry  334  of the bed  302  can detect bed presence of the user  308  in the evening and determine that the user  308  is in bed for the night. In response to this determination, the control circuitry  334  can generate control signals to cause the thermostat to change the temperature to 70 degrees. The control circuitry  334  can then transmit the control signals to the thermostat  316 . Upon detecting that the user  308  is in bed during the bed time range or asleep, the control circuitry  334  can generate and transmit control signals to cause the thermostat  316  to change the temperature to  68 . The next morning, upon determining that the user is awake for the day (e.g., the user  308  gets out of bed after 6:30 am) the control circuitry  334  can generate and transmit control circuitry  334  to cause the thermostat to change the temperature to 72 degrees. 
     In some implementations, the control circuitry  334  can similarly generate control signals to cause one or more heating or cooling elements on the surface of the bed  302  to change temperature at various times, either in response to user interaction with the bed  302  or at various pre-programmed times. For example, the control circuitry  334  can activate a heating element to raise the temperature of one side of the surface of the bed  302  to 73 degrees when it is detected that the user  308  has fallen asleep. As another example, upon determining that the user  308  is up for the day, the control circuitry  334  can turn off a heating or cooling element. As yet another example, the user  308  can pre-program various times at which the temperature at the surface of the bed should be raised or lowered. For example, the user can program the bed  302  to raise the surface temperature to 76 degrees at 10:00 pm, and lower the surface temperature to 68 degrees at 11:30 pm. 
     In some implementations, in response to detecting user bed presence of the user  308  and/or that the user  308  is asleep, the control circuitry  334  can cause the thermostat  316  to change the temperature in different rooms to different values. For example, in response to determining that the user  308  is in bed for the evening, the control circuitry  334  can generate and transmit control signals to cause the thermostat  316  to set the temperature in one or more bedrooms of the house to 72 degrees and set the temperature in other rooms to 67 degrees. 
     The control circuitry  334  can also receive temperature information from the thermostat  316  and use this temperature information to control functions of the bed  302  or other devices. For example, as discussed above, the control circuitry  334  can adjust temperatures of heating elements included in the bed  302  in response to temperature information received from the thermostat  316 . 
     In some implementations, the control circuitry  334  can generate and transmit control signals for controlling other temperature control systems. For example, in response to determining that the user  308  is awake for the day, the control circuitry  334  can generate and transmit control signals for causing floor heating elements to activate. For example, the control circuitry  334  can cause a floor heating system for a master bedroom to turn on in response to determining that the user  308  is awake for the day. 
     The control circuitry  334  can additionally communicate with the security system  318 , receive information from the security system  318 , and generate control signals for controlling functions of the security system  318 . For example, in response to detecting that the user  308  in is bed for the evening, the control circuitry  334  can generate control signals to cause the security system to engage or disengage security functions. The control circuitry  334  can then transmit the control signals to the security system  318  to cause the security system  318  to engage. As another example, the control circuitry  334  can generate and transmit control signals to cause the security system  318  to disable in response to determining that the user  308  is awake for the day (e.g., user  308  is no longer present on the bed  302  after 6:00 am). In some implementations, the control circuitry  334  can generate and transmit a first set of control signals to cause the security system  318  to engage a first set of security features in response to detecting user bed presence of the user  308 , and can generate and transmit a second set of control signals to cause the security system  318  to engage a second set of security features in response to detecting that the user  308  has fallen asleep. 
     In some implementations, the control circuitry  334  can receive alerts from the security system  318  (and/or a cloud service associated with the security system  318 ) and indicate the alert to the user  308 . For example, the control circuitry  334  can detect that the user  308  is in bed for the evening and in response, generate and transmit control signals to cause the security system  318  to engage or disengage. The security system can then detect a security breach (e.g., someone has opened the door  332  without entering the security code, or someone has opened a window when the security system  318  is engaged). The security system  318  can communicate the security breach to the control circuitry  334  of the bed  302 . In response to receiving the communication from the security system  318 , the control circuitry  334  can generate control signals to alert the user  308  to the security breach. For example, the control circuitry  334  can cause the bed  302  to vibrate. As another example, the control circuitry  334  can cause portions of the bed  302  to articulate (e.g., cause the head section to raise or lower) in order to wake the user  308  and alert the user to the security breach. As another example, the control circuitry  334  can generate and transmit control signals to cause the lamp  326  to flash on and off at regular intervals to alert the user  308  to the security breach. As another example, the control circuitry  334  can alert the user  308  of one bed  302  regarding a security breach in a bedroom of another bed, such as an open window in a kid&#39;s bedroom. As another example, the control circuitry  334  can send an alert to a garage door controller (e.g., to close and lock the door). As another example, the control circuitry  334  can send an alert for the security to be disengaged. 
     The control circuitry  334  can additionally generate and transmit control signals for controlling the garage door  320  and receive information indicating a state of the garage door  320  (i.e., open or closed). For example, in response to determining that the user  308  is in bed for the evening, the control circuitry  334  can generate and transmit a request to a garage door opener or another device capable of sensing if the garage door  320  is open. The control circuitry  334  can request information on the current state of the garage door  320 . If the control circuitry  334  receives a response (e.g., from the garage door opener) indicating that the garage door  320  is open, the control circuitry  334  can either notify the user  308  that the garage door is open, or generate a control signal to cause the garage door opener to close the garage door  320 . For example, the control circuitry  334  can send a message to the user device  310  indicating that the garage door is open. As another example, the control circuitry  334  can cause the bed  302  to vibrate. As yet another example, the control circuitry  334  can generate and transmit a control signal to cause the lighting system  314  to cause one or more lights in the bedroom to flash to alert the user  308  to check the user device  310  for an alert (in this example, an alert regarding the garage door  320  being open). Alternatively, or additionally, the control circuitry  334  can generate and transmit control signals to cause the garage door opener to close the garage door  320  in response to identifying that the user  308  is in bed for the evening and that the garage door  320  is open. In some implementations, control signals can vary depend on the age of the user  308 . 
     The control circuitry  334  can similarly send and receive communications for controlling or receiving state information associated with the door  332  or the oven  322 . For example, upon detecting that the user  308  is in bed for the evening, the control circuitry  334  can generate and transmit a request to a device or system for detecting a state of the door  332 . Information returned in response to the request can indicate various states for the door  332  such as open, closed but unlocked, or closed and locked. If the door  332  is open or closed but unlocked, the control circuitry  334  can alert the user  308  to the state of the door, such as in a manner described above with reference to the garage door  320 . Alternatively, or in addition to alerting the user  308 , the control circuitry  334  can generate and transmit control signals to cause the door  332  to lock, or to close and lock. If the door  332  is closed and locked, the control circuitry  334  can determine that no further action is needed. 
     Similarly, upon detecting that the user  308  is in bed for the evening, the control circuitry  334  can generate and transmit a request to the oven  322  to request a state of the oven  322  (e.g., on or off). If the oven  322  is on, the control circuitry  334  can alert the user  308  and/or generate and transmit control signals to cause the oven  322  to turn off. If the oven is already off, the control circuitry  334  can determine that no further action is necessary. In some implementations, different alerts can be generated for different events. For example, the control circuitry  334  can cause the lamp  326  (or one or more other lights, via the lighting system  314 ) to flash in a first pattern if the security system  318  has detected a breach, flash in a second pattern if garage door  320  is on, flash in a third pattern if the door  332  is open, flash in a fourth pattern if the oven  322  is on, and flash in a fifth pattern if another bed has detected that a user of that bed has gotten up (e.g., that a child of the user  308  has gotten out of bed in the middle of the night as sensed by a sensor in the bed  302  of the child). Other examples of alerts that can be processed by the control circuitry  334  of the bed  302  and communicated to the user include a smoke detector detecting smoke (and communicating this detection of smoke to the control circuitry  334 ), a carbon monoxide tester detecting carbon monoxide, a heater malfunctioning, or an alert from any other device capable of communicating with the control circuitry  334  and detecting an occurrence that should be brought to the user  308 &#39;s attention. 
     The control circuitry  334  can also communicate with a system or device for controlling a state of the window blinds  330 . For example, in response to determining that the user  308  is in bed for the evening, the control circuitry  334  can generate and transmit control signals to cause the window blinds  330  to close. As another example, in response to determining that the user  308  is up for the day (e.g., user has gotten out of bed after 6:30 am) the control circuitry  334  can generate and transmit control signals to cause the window blinds  330  to open. By contrast, if the user  308  gets out of bed prior to a normal rise time for the user  308 , the control circuitry  334  can determine that the user  308  is not awake for the day and does not generate control signals for causing the window blinds  330  to open. As yet another example, the control circuitry  334  can generate and transmit control signals that cause a first set of blinds to close in response to detecting user bed presence of the user  308  and a second set of blinds to close in response to detecting that the user  308  is asleep. 
     The control circuitry  334  can generate and transmit control signals for controlling functions of other household devices in response to detecting user interactions with the bed  302 . For example, in response to determining that the user  308  is awake for the day, the control circuitry  334  can generate and transmit control signals to the coffee maker  324  to cause the coffee maker  324  to begin brewing coffee. As another example, the control circuitry  334  can generate and transmit control signals to the oven  322  to cause the oven to begin preheating (for users that like fresh baked bread in the morning). 
     As another example, the control circuitry  334  can use information indicating that the user  308  is awake for the day along with information indicating that the time of year is currently winter and/or that the outside temperature is below a threshold value to generate and transmit control signals to cause a car engine block heater to turn on. 
     As another example, the control circuitry  334  can generate and transmit control signals to cause one or more devices to enter a sleep mode in response to detecting user bed presence of the user  308 , or in response to detecting that the user  308  is asleep. For example, the control circuitry  334  can generate control signals to cause a mobile phone of the user  308  to switch into sleep mode. The control circuitry  334  can then transmit the control signals to the mobile phone. Later, upon determining that the user  308  is up for the day, the control circuitry  334  can generate and transmit control signals to cause the mobile phone to switch out of sleep mode. 
     In some implementations, the control circuitry  334  can communicate with one or more noise control devices. For example, upon determining that the user  308  is in bed for the evening, or that the user  308  is asleep, the control circuitry  334  can generate and transmit control signals to cause one or more noise cancelation devices to activate. The noise cancelation devices can, for example, be included as part of the bed  302  or located in the bedroom with the bed  302 . As another example, upon determining that the user  308  is in bed for the evening or that the user  308  is asleep, the control circuitry  334  can generate and transmit control signals to turn the volume on, off, up, or down, for one or more sound generating devices, such as a stereo system radio, computer, tablet, etc. 
     Additionally, functions of the bed  302  are controlled by the control circuitry  334  in response to user interactions with the bed  302 . For example, the bed  302  can include an adjustable foundation and an articulation controller configured to adjust the position of one or more portions of the bed  302  by adjusting the adjustable foundation that supports the bed. For example, the articulation controller can adjust the bed  302  from a flat position to a position in which a head portion of a mattress of the bed  302  is inclined upward (e.g., to facilitate a user sitting up in bed and/or watching television). In some implementations, the bed  302  includes multiple separately articulable sections. For example, portions of the bed corresponding to the locations of the air chambers  306   a  and  306   b  can be articulated independently from each other, to allow one person positioned on the bed  302  surface to rest in a first position (e.g., a flat position) while a second person rests in a second position (e.g., a reclining position with the head raised at an angle from the waist). In some implementations, separate positions can be set for two different beds (e.g., two twin beds placed next to each other). The foundation of the bed  302  can include more than one zone that can be independently adjusted. The articulation controller can also be configured to provide different levels of massage to one or more users on the bed  302  or to cause the bed to vibrate to communicate alerts to the user  308  as described above. 
     The control circuitry  334  can adjust positions (e.g., incline and decline positions for the user  308  and/or an additional user of the bed  302 ) in response to user interactions with the bed  302 . For example, the control circuitry  334  can cause the articulation controller to adjust the bed  302  to a first recline position for the user  308  in response to sensing user bed presence for the user  308 . The control circuitry  334  can cause the articulation controller to adjust the bed  302  to a second recline position (e.g., a less reclined, or flat position) in response to determining that the user  308  is asleep. As another example, the control circuitry  334  can receive a communication from the television  312  indicating that the user  308  has turned off the television  312 , and in response the control circuitry  334  can cause the articulation controller to adjust the position of the bed  302  to a preferred user sleeping position (e.g., due to the user turning off the television  312  while the user  308  is in bed indicating that the user  308  wishes to go to sleep). 
     In some implementations, the control circuitry  334  can control the articulation controller so as to wake up one user of the bed  302  without waking another user of the bed  302 . For example, the user  308  and a second user of the bed  302  can each set distinct wakeup times (e.g., 6:30 am and 7:15 am respectively). When the wakeup time for the user  308  is reached, the control circuitry  334  can cause the articulation controller to vibrate or change the position of only a side of the bed on which the user  308  is located to wake the user  308  without disturbing the second user. When the wakeup time for the second user is reached, the control circuitry  334  can cause the articulation controller to vibrate or change the position of only the side of the bed on which the second user is located. Alternatively, when the second wakeup time occurs, the control circuitry  334  can utilize other methods (such as audio alarms, or turning on the lights) to wake the second user since the user  308  is already awake and therefore will not be disturbed when the control circuitry  334  attempts to wake the second user. 
     Still referring to  FIG.  3   , the control circuitry  334  for the bed  302  can utilize information for interactions with the bed  302  by multiple users to generate control signals for controlling functions of various other devices. For example, the control circuitry  334  can wait to generate control signals for, for example, engaging the security system  318 , or instructing the lighting system  314  to turn off lights in various rooms until both the user  308  and a second user are detected as being present on the bed  302 . As another example, the control circuitry  334  can generate a first set of control signals to cause the lighting system  314  to turn off a first set of lights upon detecting bed presence of the user  308  and generate a second set of control signals for turning off a second set of lights in response to detecting bed presence of a second user. As another example, the control circuitry  334  can wait until it has been determined that both the user  308  and a second user are awake for the day before generating control signals to open the window blinds  330 . As yet another example, in response to determining that the user  308  has left the bed and is awake for the day, but that a second user is still sleeping, the control circuitry  334  can generate and transmit a first set of control signals to cause the coffee maker  324  to begin brewing coffee, to cause the security system  318  to deactivate, to turn on the lamp  326 , to turn off the nightlight  328 , to cause the thermostat  316  to raise the temperature in one or more rooms to 72 degrees, and to open blinds (e.g., the window blinds  330 ) in rooms other than the bedroom in which the bed  302  is located. Later, in response to detecting that the second user is no longer present on the bed (or that the second user is awake) the control circuitry  334  can generate and transmit a second set of control signals to, for example, cause the lighting system  314  to turn on one or more lights in the bedroom, to cause window blinds in the bedroom to open, and to turn on the television  312  to a pre-specified channel. 
     Examples of Data Processing Systems Associated with a Bed 
     Described here are examples of systems and components that can be used for data processing tasks that are, for example, associated with a bed. In some cases, multiple examples of a particular component or group of components are presented. Some of these examples are redundant and/or mutually exclusive alternatives. Connections between components are shown as examples to illustrate possible network configurations for allowing communication between components. Different formats of connections can be used as technically needed or desired. The connections generally indicate a logical connection that can be created with any technologically feasible format. For example, a network on a motherboard can be created with a printed circuit board, wireless data connections, and/or other types of network connections. Some logical connections are not shown for clarity. For example, connections with power supplies and/or computer readable memory may not be shown for clarities sake, as many or all elements of a particular component may need to be connected to the power supplies and/or computer readable memory. 
       FIG.  4 A  is a block diagram of an example of a data processing system  400  that can be associated with a bed system, including those described above with respect to 
       FIGS.  1 - 3   . This system  400  includes a pump motherboard  402  and a pump daughterboard  404 . The system  400  includes a sensor array  406  that can include one or more sensors configured to sense physical phenomenon of the environment and/or bed, and to report such sensing back to the pump motherboard  402  for, for example, analysis. The system  400  also includes a controller array  408  that can include one or more controllers configured to control logic-controlled devices of the bed and/or environment. The pump motherboard  400  can be in communication with one or more computing devices  414  and one or more cloud services  410  over local networks, the Internet  412 , or otherwise as is technically appropriate. Each of these components will be described in more detail, some with multiple example configurations, below. 
     In this example, a pump motherboard  402  and a pump daughterboard  404  are communicably coupled. They can be conceptually described as a center or hub of the system  400 , with the other components conceptually described as spokes of the system  400 . In some configurations, this can mean that each of the spoke components communicates primarily or exclusively with the pump motherboard  402 . For example, a sensor of the sensor array may not be configured to, or may not be able to, communicate directly with a corresponding controller. Instead, each spoke component can communicate with the motherboard  402 . The sensor of the sensor array  406  can report a sensor reading to the motherboard  402 , and the motherboard  402  can determine that, in response, a controller of the controller array  408  should adjust some parameters of a logic controlled device or otherwise modify a state of one or more peripheral devices. In one case, if the temperature of the bed is determined to be too hot, the pump motherboard  402  can determine that a temperature controller should cool the bed. 
     One advantage of a hub-and-spoke network configuration, sometimes also referred to as a star-shaped network, is a reduction in network traffic compared to, for example, a mesh network with dynamic routing. If a particular sensor generates a large, continuous stream of traffic, that traffic may only be transmitted over one spoke of the network to the motherboard  402 . The motherboard  402  can, for example, marshal that data and condense it to a smaller data format for retransmission for storage in a cloud service  410 . Additionally or alternatively, the motherboard  402  can generate a single, small, command message to be sent down a different spoke of the network in response to the large stream. For example, if the large stream of data is a pressure reading that is transmitted from the sensor array  406  a few times a second, the motherboard  402  can respond with a single command message to the controller array to increase the pressure in an air chamber. In this case, the single command message can be orders of magnitude smaller than the stream of pressure readings. 
     As another advantage, a hub-and-spoke network configuration can allow for an extensible network that can accommodate components being added, removed, failing, etc. This can allow, for example, more, fewer, or different sensors in the sensor array  406 , controllers in the controller array  408 , computing devices  414 , and/or cloud services  410 . For example, if a particular sensor fails or is deprecated by a newer version of the sensor, the system  400  can be configured such that only the motherboard  402  needs to be updated about the replacement sensor. This can allow, for example, product differentiation where the same motherboard  402  can support an entry level product with fewer sensors and controllers, a higher value product with more sensors and controllers, and customer personalization where a customer can add their own selected components to the system  400 . 
     Additionally, a line of air bed products can use the system  400  with different components. In an application in which every air bed in the product line includes both a central logic unit and a pump, the motherboard  402  (and optionally the daughterboard  404 ) can be designed to fit within a single, universal housing. Then, for each upgrade of the product in the product line, additional sensors, controllers, cloud services, etc., can be added. Design, manufacturing, and testing time can be reduced by designing all products in a product line from this base, compared to a product line in which each product has a bespoke logic control system. 
     Each of the components discussed above can be realized in a wide variety of technologies and configurations. Below, some examples of each component will be further discussed. In some alternatives, two or more of the components of the system  400  can be realized in a single alternative component; some components can be realized in multiple, separate components; and/or some functionality can be provided by different components. 
       FIG.  4 B  is a block diagram showing some communication paths of the data processing system  400 . As previously described, the motherboard  402  and the pump daughterboard  404  may act as a hub for peripheral devices and cloud services of the system  400 . In cases in which the pump daughterboard  404  communicates with cloud services or other components, communications from the pump daughterboard  404  may be routed through the pump motherboard  402 . This may allow, for example, the bed to have only a single connection with the internet  412 . The computing device  414  may also have a connection to the internet  412 , possibly through the same gateway used by the bed and/or possibly through a different gateway (e.g., a cell service provider). 
     Previously, a number of cloud services  410  were described. As shown in  FIG.  4 B , some cloud services, such as cloud services  410   d  and  410   e , may be configured such that the pump motherboard  402  can communicate with the cloud service directly—that is the motherboard  402  may communicate with a cloud service  410  without having to use another cloud service  410  as an intermediary. Additionally or alternatively, some cloud services  410 , for example cloud service  410   f , may only be reachable by the pump motherboard  402  through an intermediary cloud service, for example cloud service  410   e.    
     While not shown here, some cloud services  410  may be reachable either directly or indirectly by the pump motherboard  402 . 
     Additionally, some or all of the cloud services  410  may be configured to communicate with other cloud services. This communication may include the transfer of data and/or remote function calls according to any technologically appropriate format. 
     For example, one cloud service  410  may request a copy for another cloud service&#39;s  410  data, for example, for purposes of backup, coordination, migration, or for performance of calculations or data mining. In another example, many cloud services  410  may contain data that is indexed according to specific users tracked by the user account cloud  410   c  and/or the bed data cloud  410   a . These cloud services  410  may communicate with the user account cloud  410   c  and/or the bed data cloud  410   a  when accessing data specific to a particular user or bed. 
       FIG.  5    is a block diagram of an example of a motherboard  402  that can be used in a data processing system that can be associated with a bed system, including those described above with respect to  FIGS.  1 - 3   . In this example, compared to other examples described below, this motherboard  402  consists of relatively fewer parts and can be limited to provide a relatively limited feature set. 
     The motherboard includes a power supply  500 , a processor  502 , and computer memory  512 . In general, the power supply includes hardware used to receive electrical power from an outside source and supply it to components of the motherboard  402 . The power supply can include, for example, a battery pack and/or wall outlet adapter, an AC to DC converter, a DC to AC converter, a power conditioner, a capacitor bank, and/or one or more interfaces for providing power in the current type, voltage, etc., needed by other components of the motherboard  402 . 
     The processor  502  is generally a device for receiving input, performing logical determinations, and providing output. The processor  502  can be a central processing unit, a microprocessor, general purpose logic circuity, application-specific integrated circuity, a combination of these, and/or other hardware for performing the functionality needed. 
     The memory  512  is generally one or more devices for storing data. The memory  512  can include long term stable data storage (e.g., on a hard disk), short term unstable (e.g., on Random Access Memory) or any other technologically appropriate configuration. 
     The motherboard  402  includes a pump controller  504  and a pump motor  506 . The pump controller  504  can receive commands from the processor  502  and, in response, control the function of the pump motor  506 . For example, the pump controller  504  can receive, from the processor  502 , a command to increase the pressure of an air chamber by 0.3 pounds per square inch (PSI). The pump controller  504 , in response, engages a valve so that the pump motor  506  is configured to pump air into the selected air chamber, and can engage the pump motor  506  for a length of time that corresponds to 0.3 PSI or until a sensor indicates that pressure has been increased by 0.3 PSI. In an alternative configuration, the message can specify that the chamber should be inflated to a target PSI, and the pump controller  504  can engage the pump motor  506  until the target PSI is reached. 
     A valve solenoid  508  can control which air chamber a pump is connected to. In some cases, the solenoid  508  can be controlled by the processor  502  directly. In some cases, the solenoid  508  can be controlled by the pump controller  504 . 
     A remote interface  510  of the motherboard  402  can allow the motherboard  402  to communicate with other components of a data processing system. For example, the motherboard  402  can be able to communicate with one or more daughterboards, with peripheral sensors, and/or with peripheral controllers through the remote interface  510 . The remote interface  510  can provide any technologically appropriate communication interface, including but not limited to multiple communication interfaces such as WiFi, Bluetooth, and copper wired networks. 
       FIG.  6    is a block diagram of an example of a motherboard  402  that can be used in a data processing system that can be associated with a bed system, including those described above with respect to  FIGS.  1 - 3   . Compared to the motherboard  402  described with reference to  FIG.  5   , the motherboard in  FIG.  6    can contain more components and provide more functionality in some applications. 
     In addition to the power supply  500 , processor  502 , pump controller  504 , pump motor  506 , and valve solenoid  508 , this motherboard  402  is shown with a valve controller  600 , a pressure sensor  602 , a universal serial bus (USB) stack  604 , a WiFi radio  606 , a Bluetooth Low Energy (BLE) radio  608 , a ZigBee radio  610 , a Bluetooth radio  612  and a computer memory  512 . 
     Similar to the way that the pump controller  504  converts commands from the processor  502  into control signals for the pump motor  506 , the valve controller  600  can convert commands from the processor  502  into control signals for the valve solenoid  508 . In one example, the processor  502  can issue a command to the valve controller  600  to connect the pump to a particular air chamber out of the group of air chambers in an air bed. The valve controller  600  can control the position of the valve solenoid  508  so that the pump is connected to the indicated air chamber. 
     The pressure sensor  602  can read pressure readings from one or more air chambers of the air bed. The pressure sensor  602  can also preform digital sensor conditioning. 
     The motherboard  402  can include a suite of network interfaces, including but not limited to those shown here. These network interfaces can allow the motherboard to communicate over a wired or wireless network with any number of devices, including but not limited to peripheral sensors, peripheral controllers, computing devices, and devices and services connected to the Internet  412 . 
       FIG.  7    is a block diagram of an example of a daughterboard  404  that can be used in a data processing system that can be associated with a bed system, including those described above with respect to  FIGS.  1 - 3   . In some configurations, one or more daughterboards  404  can be connected to the motherboard  402 . Some daughterboards  404  can be designed to offload particular and/or compartmentalized tasks from the motherboard  402 . This can be advantageous, for example, if the particular tasks are computationally intensive, proprietary, or subject to future revisions. For example, the daughterboard  404  can be used to calculate a particular sleep data metric. This metric can be computationally intensive, and calculating the sleep metric on the daughterboard  404  can free up the resources of the motherboard  402  while the metric is being calculated. Additionally and/or alternatively, the sleep metric can be subject to future revisions. To update the system  400  with the new sleep metric, it is possible that only the daughterboard  404  that calculates that metric need be replaced. In this case, the same motherboard  402  and other components can be used, saving the need to perform unit testing of additional components instead of just the daughterboard  404 . 
     The daughterboard  404  is shown with a power supply  700 , a processor  702 , computer readable memory  704 , a pressure sensor  706 , and a WiFi radio  708 . The processor can use the pressure sensor  706  to gather information about the pressure of the air chamber or chambers of an air bed. From this data, the processor  702  can perform an algorithm to calculate a sleep metric. In some examples, the sleep metric can be calculated from only the pressure of air chambers. In other examples, the sleep metric can be calculated from one or more other sensors. In an example in which different data is needed, the processor  702  can receive that data from an appropriate sensor or sensors. These sensors can be internal to the daughterboard  404 , accessible via the WiFi radio  708 , or otherwise in communication with the processor  702 . Once the sleep metric is calculated, the processor  702  can report that sleep metric to, for example, the motherboard  402 . 
       FIG.  8    is a block diagram of an example of a motherboard  800  with no daughterboard that can be used in a data processing system that can be associated with a bed system, including those described above with respect to  FIGS.  1 - 3   . In this example, the motherboard  800  can perform most, all, or more of the features described with reference to the motherboard  402  in  FIG.  6    and the daughterboard  404  in  FIG.  7   . 
       FIG.  9    is a block diagram of an example of a sensory array  406  that can be used in a data processing system that can be associated with a bed system, including those described above with respect to  FIGS.  1 - 3   . In general, the sensor array  406  is a conceptual grouping of some or all the peripheral sensors that communicate with the motherboard  402  but are not native to the motherboard  402 . 
     The peripheral sensors of the sensor array  406  can communicate with the motherboard  402  through one or more of the network interfaces of the motherboard, including but not limited to the USB stack  1112 , a WiFi radio  606 , a Bluetooth Low Energy (BLE) radio  608 , a ZigBee radio  610 , and a Bluetooth radio  612 , as is appropriate for the configuration of the particular sensor. For example, a sensor that outputs a reading over a USB cable can communicate through the USB stack  1112 . 
     Some of the peripheral sensors  900  of the sensor array  406  can be bed mounted  900 . These sensors can be, for example, embedded into the structure of a bed and sold with the bed, or later affixed to the structure of the bed. Other peripheral sensors  902  and  904  can be in communication with the motherboard  402 , but optionally not mounted to the bed. In some cases, some or all of the bed mounted sensors  900  and/or peripheral sensors  902  and  904  can share networking hardware, including a conduit that contains wires from each sensor, a multi-wire cable or plug that, when affixed to the motherboard  402 , connect all of the associated sensors with the motherboard  402 . In some embodiments, one, some, or all of sensors  902 ,  904 ,  906 ,  908 , and  910  can sense one or more features of a mattress, such as pressure, temperature, light, sound, and/or one or more other features of the mattress. In some embodiments, one, some, or all of sensors  902 ,  904 ,  906 ,  908 , and  910  can sense one or more features external to the mattress. In some embodiments, pressure sensor  902  can sense pressure of the mattress while some or all of sensors  902 ,  904 ,  906 ,  908 , and  910  can sense one or more features of the mattress and/or external to the mattress. 
       FIG.  10    is a block diagram of an example of a controller array  408  that can be used in a data processing system that can be associated with a bed system, including those described above with respect to  FIGS.  1 - 3   . In general, the controller array  408  is a conceptual grouping of some or all peripheral controllers that communicate with the motherboard  402  but are not native to the motherboard  402 . 
     The peripheral controllers of the controller array  408  can communicate with the motherboard  402  through one or more of the network interfaces of the motherboard, including but not limited to the USB stack  1112 , a WiFi radio  1114 , a Bluetooth Low Energy (BLE) radio  1116 , a ZigBee radio  610 , and a Bluetooth radio  612 , as is appropriate for the configuration of the particular sensor. For example, a controller that receives a command over a USB cable can communicate through the USB stack  1112 . 
     Some of the controllers of the controller array  408  can be bed mounted  1000 , including but not limited to a temperature controller  1006 , a light controller  1008 , and/or a speaker controller  1010 . These controllers can be, for example, embedded into the structure of a bed and sold with the bed, or later affixed to the structure of the bed. Other peripheral controllers  1002  and  1004  can be in communication with the motherboard  402 , but optionally not mounted to the bed. In some cases, some or all of the bed mounted controllers  1000  and/or peripheral controllers  1002  and  1004  can share networking hardware, including a conduit that contains wires for each controller, a multi-wire cable or plug that, when affixed to the motherboard  402 , connects all of the associated controllers with the motherboard  402 . 
       FIG.  11    is a block diagram of an example of a computing device  414  that can be used in a data processing system that can be associated with a bed system, including those described above with respect to  FIGS.  1 - 3   . The computing device  414  can include, for example, computing devices used by a user of a bed. Example computing devices  414  include, but are not limited to, mobile computing devices (e.g., mobile phones, tablet computers, laptops) and desktop computers. 
     The computing device  414  includes a power supply  1100 , a processor  1102 , and computer readable memory  1104 . User input and output can be transmitted by, for example, speakers  1106 , a touchscreen  1108 , or other not shown components such as a pointing device or keyboard. The computing device  414  can run one or more applications  1110 . These applications can include, for example, application to allow the user to interact with the system  400 . These applications can allow a user to view information about the bed (e.g., sensor readings, sleep metrics), or configure the behavior of the system  400  (e.g., set a desired firmness to the bed, set desired behavior for peripheral devices). In some cases, the computing device  414  can be used in addition to, or to replace, the remote control  122  described previously. 
       FIG.  12    is a block diagram of an example bed data cloud service  410   a  that can be used in a data processing system that can be associated with a bed system, including those described above with respect to  FIGS.  1 - 3   . In this example, the bed data cloud service  410   a  is configured to collect sensor data and sleep data from a particular bed, and to match the sensor and sleep data with one or more users that use the bed when the sensor and sleep data was generated. 
     The bed data cloud service  410   a  is shown with a network interface  1200 , a communication manager  1202 , server hardware  1204 , and server system software  1206 . In addition, the bed data cloud service  410   a  is shown with a user identification module  1208 , a device management  1210  module, a sensor data module  1212 , and an advanced sleep data module  1214 . 
     The network interface  1200  generally includes hardware and low level software used to allow one or more hardware devices to communicate over networks. For example the network interface  1200  can include network cards, routers, modems, and other hardware needed to allow the components of the bed data cloud service  410   a  to communicate with each other and other destinations over, for example, the Internet  412 . The communication manger  1202  generally comprises hardware and software that operate above the network interface  1200 . This includes software to initiate, maintain, and tear down network communications used by the bed data cloud service  410   a . This includes, for example, TCP/IP, SSL or TLS, Torrent, and other communication sessions over local or wide area networks. The communication manger  1202  can also provide load balancing and other services to other elements of the bed data cloud service  410   a.    
     The server hardware  1204  generally includes the physical processing devices used to instantiate and maintain bed data cloud service  410   a . This hardware includes, but is not limited to processors (e.g., central processing units, ASICs, graphical processers), and computer readable memory (e.g., random access memory, stable hard disks, tape backup). One or more servers can be configured into clusters, multi-computer, or datacenters that can be geographically separate or connected. 
     The server system software  1206  generally includes software that runs on the server hardware  1204  to provide operating environments to applications and services. 
     The server system software  1206  can include operating systems running on real servers, virtual machines instantiated on real servers to create many virtual servers, server level operations such as data migration, redundancy, and backup. 
     The user identification  1208  can include, or reference, data related to users of beds with associated data processing systems. For example, the users can include customers, owners, or other users registered with the bed data cloud service  410   a  or another service. Each user can have, for example, a unique identifier, user credentials, contact information, billing information, demographic information, or any other technologically appropriate information. 
     The device manager  1210  can include, or reference, data related to beds or other products associated with data processing systems. For example, the beds can include products sold or registered with a system associated with the bed data cloud service  410   a . Each bed can have, for example, a unique identifier, model and/or serial number, sales information, geographic information, delivery information, a listing of associated sensors and control peripherals, etc. Additionally, an index or indexes stored by the bed data cloud service  410   a  can identify users that are associated with beds. For example, this index can record sales of a bed to a user, users that sleep in a bed, etc. 
     The sensor data  1212  can record raw or condensed sensor data recorded by beds with associated data processing systems. For example, a bed&#39;s data processing system can have a temperature sensor, pressure sensor, and light sensor. Readings from these sensors, either in raw form or in a format generated from the raw data (e.g. sleep metrics) of the sensors, can be communicated by the bed&#39;s data processing system to the bed data cloud service  410   a  for storage in the sensor data  1212 . Additionally, an index or indexes stored by the bed data cloud service  410   a  can identify users and/or beds that are associated with the sensor data  1212 . 
     The bed data cloud service  410   a  can use any of its available data to generate advanced sleep data  1214 . In general, the advanced sleep data  1214  includes sleep metrics and other data generated from sensor readings. Some of these calculations can be performed in the bed data cloud service  410   a  instead of locally on the bed&#39;s data processing system, for example, because the calculations are computationally complex or require a large amount of memory space or processor power that is not available on the bed&#39;s data processing system. This can help allow a bed system to operate with a relatively simple controller and still be part of a system that performs relatively complex tasks and computations. 
       FIG.  13    is a block diagram of an example sleep data cloud service  410   b  that can be used in a data processing system that can be associated with a bed system, including those described above with respect to  FIGS.  1 - 3   . In this example, the sleep data cloud service  410   b  is configured to record data related to users&#39; sleep experience. 
     The sleep data cloud service  410   b  is shown with a network interface  1300 , a communication manager  1302 , server hardware  1304 , and server system software  1306 . 
     In addition, the sleep data cloud service  410   b  is shown with a user identification module  1308 , a pressure sensor manager  1310 , a pressure based sleep data module  1312 , a raw pressure sensor data module  1314 , and a non-pressure sleep data module  1316 . 
     The pressure sensor manager  1310  can include, or reference, data related to the configuration and operation of pressure sensors in beds. For example, this data can include an identifier of the types of sensors in a particular bed, their settings and calibration data, etc. 
     The pressure based sleep data  1312  can use raw pressure sensor data  1314  to calculate sleep metrics specifically tied to pressure sensor data. For example, user presence, movements, weight change, heart rate, and breathing rate can all be determined from raw pressure sensor data  1314 . Additionally, an index or indexes stored by the sleep data cloud service  410   b  can identify users that are associated with pressure sensors, raw pressure sensor data, and/or pressure based sleep data. 
     The non-pressure sleep data  1316  can use other sources of data to calculate sleep metrics. For example, user entered preferences, light sensor readings, and sound sensor readings can all be used to track sleep data. Additionally, an index or indexes stored by the sleep data cloud service  410   b  can identify users that are associated with other sensors and/or non-pressure sleep data  1316 . 
       FIG.  14    is a block diagram of an example user account cloud service  410   c  that can be used in a data processing system that can be associated with a bed system, including those described above with respect to  FIGS.  1 - 3   . In this example, the user account cloud service  410   c  is configured to record a list of users and to identify other data related to those users. 
     The user account cloud service  410   c  is shown with a network interface  1400 , a communication manager  1402 , server hardware  1404 , and server system software  1406 . In addition, the user account cloud service  410   c  is shown with a user identification module  1408 , a purchase history module  1410 , an engagement module  1412 , and an application usage history module  1414 . 
     The user identification module  1408  can include, or reference, data related to users of beds with associated data processing systems. For example, the users can include customers, owners, or other users registered with the user account cloud service  410   a  or another service. Each user can have, for example, a unique identifier, and user credentials, demographic information, or any other technologically appropriate information. 
     The purchase history module  1410  can include, or reference, data related to purchases by users. For example, the purchase data can include a sale&#39;s contact information, billing information, and salesperson information. Additionally, an index or indexes stored by the user account cloud service  410   c  can identify users that are associated with a purchase. 
     The engagement  1412  can track user interactions with the manufacturer, vendor, and/or manager of the bed and or cloud services. This engagement data can include communications (e.g., emails, service calls), data from sales (e.g., sales receipts, configuration logs), and social network interactions. 
     The usage history module  1414  can contain data about user interactions with one or more applications and/or remote controls of a bed. For example, a monitoring and configuration application can be distributed to run on, for example, computing devices  412 . This application can log and report user interactions for storage in the application usage history module  1414 . Additionally, an index or indexes stored by the user account cloud service  410   c  can identify users that are associated with each log entry. 
       FIG.  15    is a block diagram of an example point of sale cloud service  1500  that can be used in a data processing system that can be associated with a bed system, including those described above with respect to  FIGS.  1 - 3   . In this example, the point of sale cloud service  1500  is configured to record data related to users&#39; purchases. 
     The point of sale cloud service  1500  is shown with a network interface  1502 , a communication manager  1504 , server hardware  1506 , and server system software  1508 . In addition, the point of sale cloud service  1500  is shown with a user identification module  1510 , a purchase history module  1512 , and a setup module  1514 . 
     The purchase history module  1512  can include, or reference, data related to purchases made by users identified in the user identification module  1510 . The purchase information can include, for example, data of a sale, price, and location of sale, delivery address, and configuration options selected by the users at the time of sale. These configuration options can include selections made by the user about how they wish their newly purchased beds to be setup and can include, for example, expected sleep schedule, a listing of peripheral sensors and controllers that they have or will install, etc. 
     The bed setup module  1514  can include, or reference, data related to installations of beds that users&#39; purchase. The bed setup data can include, for example, the date and address to which a bed is delivered, the person that accepts delivery, the configuration that is applied to the bed upon delivery, the name or names of the person or people who will sleep on the bed, which side of the bed each person will use, etc. 
     Data recorded in the point of sale cloud service  1500  can be referenced by a user&#39;s bed system at later dates to control functionality of the bed system and/or to send control signals to peripheral components according to data recorded in the point of sale cloud service  1500 . This can allow a salesperson to collect information from the user at the point of sale that later facilitates automation of the bed system. In some examples, some or all aspects of the bed system can be automated with little or no user-entered data required after the point of sale. In other examples, data recorded in the point of sale cloud service  1500  can be used in connection with a variety of additional data gathered from user-entered data. 
       FIG.  16    is a block diagram of an example environment cloud service  1600  that can be used in a data processing system that can be associated with a bed system, including those described above with respect to  FIGS.  1 - 3   . In this example, the environment cloud service  1600  is configured to record data related to users&#39; home environment. 
     The environment cloud service  1600  is shown with a network interface  1602 , a communication manager  1604 , server hardware  1606 , and server system software  1608 . In addition, the environment cloud service  1600  is shown with a user identification module  1610 , an environmental sensor module  1612 , and an environmental factors module  1614 . 
     The environmental sensors module  1612  can include a listing of sensors that users&#39; in the user identification module  1610  have installed in their bed. These sensors include any sensors that can detect environmental variables — light sensors, noise sensors, vibration sensors, thermostats, etc. Additionally, the environmental sensors module  1612  can store historical readings or reports from those sensors. 
     The environmental factors module  1614  can include reports generated based on data in the environmental sensors module  1612 . For example, for a user with a light sensor with data in the environment sensors module  1612 , the environmental factors module  1614  can hold a report indicating the frequency and duration of instances of increased lighting when the user is asleep. 
     In the examples discussed here, each cloud service  410  is shown with some of the same components. In various configurations, these same components can be partially or wholly shared between services, or they can be separate. In some configurations, each service can have separate copies of some or all of the components that are the same or different in some ways. Additionally, these components are only supplied as illustrative examples. In other examples each cloud service can have different number, types, and styles of components that are technically possible. 
       FIG.  17    is a block diagram of an example of using a data processing system that can be associated with a bed (such as a bed of the bed systems described herein) to automate peripherals around the bed. Shown here is a behavior analysis module  1700  that runs on the pump motherboard  402 . For example, the behavior analysis module  1700  can be one or more software components stored on the computer memory  512  and executed by the processor  502 . In general, the behavior analysis module  1700  can collect data from a wide variety of sources (e.g., sensors, non-sensor local sources, cloud data services) and use a behavioral algorithm  1702  to generate one or more actions to be taken (e.g., commands to send to peripheral controllers, data to send to cloud services). This can be useful, for example, in tracking user behavior and automating devices in communication with the user&#39;s bed. 
     The behavior analysis module  1700  can collect data from any technologically appropriate source, for example, to gather data about features of a bed, the bed&#39;s environment, and/or the bed&#39;s users. Some such sources include any of the sensors of the sensor array  406 . For example, this data can provide the behavior analysis module  1700  with information about the current state of the environment around the bed. For example, the behavior analysis module  1700  can access readings from the pressure sensor  902  to determine the pressure of an air chamber in the bed. From this reading, and potentially other data, user presence in the bed can be determined. In another example, the behavior analysis module can access a light sensor  908  to detect the amount of light in the bed&#39;s environment. 
     Similarly, the behavior analysis module  1700  can access data from cloud services. For example, the behavior analysis module  1700  can access the bed cloud service  410   a  to access historical sensor data  1212  and/or advanced sleep data  1214 . Other cloud services  410 , including those not previously described can be accessed by the behavior analysis module  1700 . For example, the behavior analysis module  1700  can access a weather reporting service, a  3 r d  party data provider (e.g., traffic and news data, emergency broadcast data, user travel data), and/or a clock and calendar service. 
     Similarly, the behavior analysis module  1700  can access data from non-sensor sources  1704 . For example, the behavior analysis module  1700  can access a local clock and calendar service (e.g., a component of the motherboard  402  or of the processor  502 ). 
     The behavior analysis module  1700  can aggregate and prepare this data for use by one or more behavioral algorithms  1702 . The behavioral algorithms  1702  can be used to learn a user&#39;s behavior and/or to perform some action based on the state of the accessed data and/or the predicted user behavior. For example, the behavior algorithm  1702  can use available data (e.g., pressure sensor, non-sensor data, clock and calendar data) to create a model of when a user goes to bed every night. Later, the same or a different behavioral algorithm  1702  can be used to determine if an increase in air chamber pressure is likely to indicate a user going to bed and, if so, send some data to a third-party cloud service  410  and/or engage a device such as a pump controller  504 , foundation actuators  1706 , temperature controller  1008 , under-bed lighting  1010 , a peripheral controller  1002 , or a peripheral controller  1004 , to name a few. 
     In the example shown, the behavioral analysis module  1700  and the behavioral algorithm  1702  are shown as components of the motherboard  402 . However, other configurations are possible. For example, the same or a similar behavioral analysis module and/or behavior algorithm can be run in one or more cloud services, and the resulting output can be sent to the motherboard  402 , a controller in the controller array  408 , or to any other technologically appropriate recipient. 
       FIG.  18    shows an example of a computing device  1800  and an example of a mobile computing device that can be used to implement the techniques described here. The computing device  1800  is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The mobile computing device is intended to represent various forms of mobile devices, such as personal digital assistants, cellular telephones, smart-phones, and other similar computing devices. The components shown here, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed in this document. 
     The computing device  1800  includes a processor  1802 , a memory  1804 , a storage device  1806 , a high-speed interface  1808  connecting to the memory  1804  and multiple high-speed expansion ports  1810 , and a low-speed interface  1812  connecting to a low-speed expansion port  1814  and the storage device  1806 . Each of the processor  1802 , the memory  1804 , the storage device  1806 , the high-speed interface  1808 , the high-speed expansion ports  1810 , and the low-speed interface  1812 , are interconnected using various busses, and can be mounted on a common motherboard or in other manners as appropriate. The processor  1802  can process instructions for execution within the computing device  1800 , including instructions stored in the memory  1804  or on the storage device  1806  to display graphical information for a GUI on an external input/output device, such as a display  1816  coupled to the high-speed interface  1808 . In other implementations, multiple processors and/or multiple buses can be used, as appropriate, along with multiple memories and types of memory. Also, multiple computing devices can be connected, with each device providing portions of the necessary operations (e.g., as a server bank, a group of blade servers, or a multi-processor system). 
     The memory  1804  stores information within the computing device  1800 . In some implementations, the memory  1804  is a volatile memory unit or units. In some implementations, the memory  1804  is a non-volatile memory unit or units. The memory  1804  can also be another form of computer-readable medium, such as a magnetic or optical disk. 
     The storage device  1806  is capable of providing mass storage for the computing device  1800 . In some implementations, the storage device  1806  can be or contain a computer-readable medium, such as a floppy disk device, a hard disk device, an optical disk device, or a tape device, a flash memory or other similar solid state memory device, or an array of devices, including devices in a storage area network or other configurations. A computer program product can be tangibly embodied in an information carrier. The computer program product can also contain instructions that, when executed, perform one or more methods, such as those described above. The computer program product can also be tangibly embodied in a computer- or machine-readable medium, such as the memory  1804 , the storage device  1806 , or memory on the processor  1802 . 
     The high-speed interface  1808  manages bandwidth-intensive operations for the computing device  1800 , while the low-speed interface  1812  manages lower bandwidth-intensive operations. Such allocation of functions is exemplary only. In some implementations, the high-speed interface  1808  is coupled to the memory  1804 , the display  1816  (e.g., through a graphics processor or accelerator), and to the high-speed expansion ports  1810 , which can accept various expansion cards (not shown). In the implementation, the low-speed interface  1812  is coupled to the storage device  1806  and the low-speed expansion port  1814 . The low-speed expansion port  1814 , which can include various communication ports (e.g., USB, Bluetooth, Ethernet, wireless Ethernet) can be coupled to one or more input/output devices, such as a keyboard, a pointing device, a scanner, or a networking device such as a switch or router, e.g., through a network adapter. 
     The computing device  1800  can be implemented in a number of different forms, as shown in the figure. For example, it can be implemented as a standard server  1820 , or multiple times in a group of such servers. In addition, it can be implemented in a personal computer such as a laptop computer  1822 . It can also be implemented as part of a rack server system  1824 . Alternatively, components from the computing device  1800  can be combined with other components in a mobile device (not shown), such as a mobile computing device  1850 . Each of such devices can contain one or more of the computing device  1800  and the mobile computing device  1850 , and an entire system can be made up of multiple computing devices communicating with each other. 
     The mobile computing device  1850  includes a processor  1852 , a memory  1864 , an input/output device such as a display  1854 , a communication interface  1866 , and a transceiver  1868 , among other components. The mobile computing device  1850  can also be provided with a storage device, such as a micro-drive or other device, to provide additional storage. Each of the processor  1852 , the memory  1864 , the display  1854 , the communication interface  1866 , and the transceiver  1868 , are interconnected using various buses, and several of the components can be mounted on a common motherboard or in other manners as appropriate. 
     The processor  1852  can execute instructions within the mobile computing device  1850 , including instructions stored in the memory  1864 . The processor  1852  can be implemented as a chipset of chips that include separate and multiple analog and digital processors. The processor  1852  can provide, for example, for coordination of the other components of the mobile computing device  1850 , such as control of user interfaces, applications run by the mobile computing device  1850 , and wireless communication by the mobile computing device  1850 . 
     The processor  1852  can communicate with a user through a control interface  1858  and a display interface  1856  coupled to the display  1854 . The display  1854  can be, for example, a TFT (Thin-Film-Transistor Liquid Crystal Display) display or an OLED (Organic Light Emitting Diode) display, or other appropriate display technology. The display interface  1856  can comprise appropriate circuitry for driving the display  1854  to present graphical and other information to a user. The control interface  1858  can receive commands from a user and convert them for submission to the processor  1852 . In addition, an external interface  1862  can provide communication with the processor  1852 , so as to enable near area communication of the mobile computing device  1850  with other devices. The external interface  1862  can provide, for example, for wired communication in some implementations, or for wireless communication in other implementations, and multiple interfaces can also be used. 
     The memory  1864  stores information within the mobile computing device  1850 . The memory  1864  can be implemented as one or more of a computer-readable medium or media, a volatile memory unit or units, or a non-volatile memory unit or units. 
     An expansion memory  1874  can also be provided and connected to the mobile computing device  1850  through an expansion interface  1872 , which can include, for example, a SIMM (Single In Line Memory Module) card interface. The expansion memory  1874  can provide extra storage space for the mobile computing device  1850 , or can also store applications or other information for the mobile computing device  1850 . Specifically, the expansion memory  1874  can include instructions to carry out or supplement the processes described above, and can include secure information also. Thus, for example, the expansion memory  1874  can be provide as a security module for the mobile computing device  1850 , and can be programmed with instructions that permit secure use of the mobile computing device  1850 . In addition, secure applications can be provided via the SIMM cards, along with additional information, such as placing identifying information on the SIMM card in a non-hackable manner. 
     The memory can include, for example, flash memory and/or NVRAM memory (non-volatile random access memory), as discussed below. In some implementations, a computer program product is tangibly embodied in an information carrier. The computer program product contains instructions that, when executed, perform one or more methods, such as those described above. The computer program product can be a computer- or machine-readable medium, such as the memory  1864 , the expansion memory  1874 , or memory on the processor  1852 . In some implementations, the computer program product can be received in a propagated signal, for example, over the transceiver  1868  or the external interface  1862 . 
     The mobile computing device  1850  can communicate wirelessly through the communication interface  1866 , which can include digital signal processing circuitry where necessary. The communication interface  1866  can provide for communications under various modes or protocols, such as GSM voice calls (Global System for Mobile communications), SMS (Short Message Service), EMS (Enhanced Messaging Service), or MMS messaging (Multimedia Messaging Service), CDMA (code division multiple access), TDMA (time division multiple access), PDC (Personal Digital Cellular), WCDMA (Wideband Code Division Multiple Access), CDMA2000, or GPRS (General Packet Radio Service), among others. Such communication can occur, for example, through the transceiver  1868  using a radio-frequency. In addition, short-range communication can occur, such as using a Bluetooth, WiFi, or other such transceiver (not shown). In addition, a GPS (Global Positioning System) receiver module  1870  can provide additional navigation- and location-related wireless data to the mobile computing device  1850 , which can be used as appropriate by applications running on the mobile computing device  1850 . 
     The mobile computing device  1850  can also communicate audibly using an audio codec  1860 , which can receive spoken information from a user and convert it to usable digital information. The audio codec  1860  can likewise generate audible sound for a user, such as through a speaker, e.g., in a handset of the mobile computing device  1850 . Such sound can include sound from voice telephone calls, can include recorded sound (e.g., voice messages, music files, etc.) and can also include sound generated by applications operating on the mobile computing device  1850 . 
     The mobile computing device  1850  can be implemented in a number of different forms, as shown in the figure. For example, it can be implemented as a cellular telephone  1880 . It can also be implemented as part of a smart-phone  1882 , personal digital assistant, or other similar mobile device. 
     Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, specially designed ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various implementations can include implementation in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device. 
     These computer programs (also known as programs, software, software applications or code) include machine instructions for a programmable processor, and can be implemented in a high-level procedural and/or object-oriented programming language, and/or in assembly/machine language. As used herein, the terms machine-readable medium and computer-readable medium refer to any computer program product, apparatus and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term machine-readable signal refers to any signal used to provide machine instructions and/or data to a programmable processor. 
     To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the computer. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input. 
     The systems and techniques described here can be implemented in a computing system that includes a backend component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a frontend component (e.g., a client computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), and the Internet. 
     The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. 
       FIG.  19    is a block diagram of an example bed system  1900  for determining ambient temperature in an environment surrounding the bed system  1900 . The bed system  1900  can include multiple sensors (e.g., refer to  FIG.  20   ) that can detect different types of signals in the environment surrounding the bed system  1900 . The sensors of bed system  1900  can detect barometric pressure  1904 , sleeper pressure  1906 , ambient temperature  1908 , and/or sleeper-microclimate temperature  1910 . The sensors of the bed system  1900  can be configured to detect any combination of  1904 ,  1906 ,  1908 , and  1910 . 
     For example, the sensors of the bed system  1900  may detect only the barometric pressure  1904  and the ambient temperature  1908 , and, using those readings, a controller  1902  can determine an ambient room temperature  1912 . Other combinations of  1904 ,  1906 ,  1908 , and  1910  are also possible. In some implementations, a single sensor can measure a plurality of different signals. The single sensor can detect features of the atmospheric at and/or around the bed system  1900 , such as gas composition in the atmosphere, pressure, temperature, and humidity signals. The sensors described herein can be integrated into or otherwise attached to the bed system  1900 . Any of the sensors described herein can also be mounted on a bed frame of the bed system  1900 , in a pump housing of the bed system  1900 , in an HVAC system of a home where the bed system  1900  is located, or anywhere else that is appropriate to mount the sensors. 
     The bed system  1900  can also be in communication (e.g., wired, wireless, BLUETOOTH, WIFI, etc.) with the controller  1902  via one or more network(s). The controller  1902  can be similar to, e.g., controllers described above. The controller  1902  can be configured to adjust settings of the bed system  1900 . The controller  1902  can have one or more processors and can be configured to perform one or more operations described in this document, such as determining an ambient room temperature  1912 . Thus, the controller  1902  can receive the detected barometric pressure  1904 , sleeper pressure  1906 , ambient temperature  1908 , and/or sleeper microclimate temperature  1910  from the sensors of the bed system  1900 . Using  1904 ,  1906 ,  1908 , and/or  1910 , the controller  1920  can determine the ambient room temperature  1912  (e.g., refer to  FIG.  21   ). 
     The controller  1902  can also be in communication (e.g., wired, wireless, BLUETOOTH, WIFI, etc.) with an automation controller  1914  via the one or more network(s). The automation controller  1914  can have one or more processors and can be configured to initiate one or more home automation events (e.g., instructing a thermostat to adjust the ambient temperature) based on the ambient room temperature  1912 . 
     The controller  1902  can, for example, determine one or more home automation events that can be made by the automation controller  1914  based on the ambient room temperature  1912 . The controller  1902  can then transmit the determined home automation events to the automation controller  1914 . The automation controller  1914  can perform or otherwise initiate the received home automation events. In some implementations, the automation controller  1914  can determine and perform or otherwise initiate the home automation events instead of the controller  1902 . In some implementations, the controller  1902  and the automation controller  1914  can be a same controller, control unit, component, computing system, computing device, and/or server. 
     The home automation events include a variety of changes that can be made to the environment surrounding the bed system  1900 . For example, a home automation event can include adjusting a temperature in the environment, such as a room where the bed system  1900  is located. The automation controller  1914  can be configured to activate or otherwise turn on an HVAC in a house where the bed system  1900  is located to lower (or alternatively raise) a temperature in the room of the bed system  1900 . Once the HVAC is activated, the sensors of the bed system  1900  can continuously detect the signals  1904 ,  1906 ,  1908 , and/or  1910  and transmit those signals to the controller  1902 . The controller  1902  can determine whether the ambient room temperature  1912  has lowered based on the signals  1904 ,  1906 ,  1908 , and/or  1910 . Once the ambient room temperature  1912  lowers to or below a predetermined threshold level, the controller  1902  can instruct the automation controller  1914  to perform another home automation event, such as turning off the HVAC in the house. Automatically adjusting the temperature of the room where the bed system  1900  is located can be beneficial to ensure that users continue to sleep uninterrupted and comfortably through the night in one or more preferred environmental conditions. 
     One or more other home automation events are possible. An example home automation event includes actuating a heating or cooling element of the bed system  1900 . Another home automation event includes turning off the heating or cooling element of the bed system  1900 . Thus, a temperature on a surface of the bed system  1900  (e.g., a microclimate of the bed system  1900 ) can be adjusted based on the ambient room temperature  1912 . Automatically adjusting the microclimate of the bed system  1900  can be beneficial to ensure that users continue to sleep uninterrupted and comfortably through the night in one or more preferred environmental conditions. 
     Another home automation event can include adjusting pressure (e.g., firmness) settings of the bed system  1900 . Yet another home automation event can include adjusting a position of one or more portions of the bed system  1900 , such as inclining a head portion of the bed system  1900  and declining a foot portion of the bed system  1900 . 
       FIG.  20    is a block diagram of components of the example bed system  1900  that can be used to determine ambient temperature in the environment surrounding the bed system  1900 . 
     The bed system  1900  can include an air bladder  2000 . Sometimes, the bed system  1900  can include multiple air bladders, for example, in different regions of the bed system  1900 . The air bladder  2000 , as described throughout this disclosure, can retain a certain amount of air  2008  that corresponds to one or more pressure (e.g., firmness) settings that are set for the bed system  1900 . 
     A bladder pressure sensor  2002  can be configured to detect pressure within and/or outside of the air bladder  2000 . For example, the sleeper pressure  1906  can be applied to the air bladder  2000 . The bladder pressure sensor  2002  can sense the sleeper pressure  1906  applied to the air bladder  2000  and transmit the sleeper pressure  1906  readings to the controller  1902 . 
     The bladder pressure sensor  2002  can also be in fluid communication with the air bladder  2000 . The bladder pressure sensor  2002  can be positioned within the air bladder  2000 . Sometimes, the bladder pressure sensor  2002  can be part of the controller  1902 . Bladder pressure values (e.g., the sleeper pressure  1906 ) that are sensed by the bladder pressure sensor  2002  can then be transmitted to the controller  1902 . 
     The bed system  1900  can also include a barometric sensor  2004 . The barometric sensor  2004  can be configured to detect the barometric pressure  1904  that both pushes against the air bladder  2000  and also the barometric sensor  2004  of the mattress system  1900 . The barometric pressure  1904  can push against the air bladder  2000  and the barometric sensor  2004  at a same time. An amount of barometric pressure  1904  that is sensed can depend on pressure in the atmosphere and can increase or decrease based on changes in weather patterns and/or ambient temperature. Sometimes, the barometric sensor  2004  is also a temperature sensor that can also detect the ambient temperature  1908  depicted in  FIG.  19   . 
     The bed system  1900  can also include a microclimate temperature sensor  2006 . The microclimate temperature sensor  2006  can detect the sleeper microclimate temperature  1910 . For example, the microclimate temperature sensor  2006  can be attached to a pad that overlays a portion of a top surface of the bed system  1900 . As the user sleeps or lays on the top surface of the bed system  1900 , the microclimate temperature sensor  2006  can detect temperature values at the top surface of the bed system  1900 . These temperature values can result from a body temperature of the user, from heat from the environment, etc. Increased temperature values can also, for example, cause increased pressure on the air bladder  2000 , and this increase in pressure can be detected by the bladder pressure sensor  2002 . Moreover, the sum of of the barometric pressure  1904 , the sleeper pressure  1906 , the ambient temperature  1908 , and the sleeper microclimate temperature  1910  can cause pressure changes on the air bladder  2000 , all of which can be detected by the bladder pressure sensor  2002  as a single net pressure and be transmitted to the controller  1902  for further processing. 
     Multiple microclimate temperature sensors can be positioned and used in the bed system  1900  to detect temperatures at different areas of the top surface of the bed system  1900 . The sleeper microclimate temperature  1910  detected by the microclimate temperature sensor  2006  can be transmitted to the controller  1902 . Sometimes, the microclimate temperature sensor  2006  can also detect the ambient temperature  1908 . 
     Any of the sensors  2002 ,  2004 , and  2006  can be integrated into or otherwise part of the bed system  1900 . Any of the sensors  2002 ,  2004 , and  2006  can also be separate from the bed system  1900  and in communication (e.g., wired and/or wireless) with the controller  1902 . As an illustrative example, the barometric sensor  2004  can be attached to a bed frame of the bed system  1900  and the microclimate temperature sensor  2006  can be part of a pad that overlays a top surface of the bed system  1900  that a user sleeps on. One or more other configurations are also possible. 
       FIG.  21    is a swimlane diagram of an example process  2100  for initiating a home automation event based on determining ambient temperature in an environment surrounding the example bed system of  FIG.  19   . For clarity, the process  2100  is being described with reference to components of the bed system  1900 . However, other system or systems can be used to perform the same or a similar process. 
     The process  2100  can begin, for example, when the bladder pressure sensor  2002  senses bladder pressure inside an air bladder of the bed system at a particular time ( 2102 ). The bladder pressure sensor  2002  can be fluidically coupled to the air bladder of the bed system, as described in reference to  FIG.  20   . The particular time can be at predetermined time intervals. For example, every  1 ,  2 ,  3 ,  4 ,  5  seconds, minutes or hours etc. the bladder pressure sensor  2002  can detect or sense the bladder pressure inside the air bladder. Sometimes, the bladder pressure sensor  2002  can continuously sense the bladder pressure inside the air bladder. The bladder pressure sensor  2002  then transmits bladder pressure readings to the controller  1902  ( 2104 ). 
     The barometric sensor  2004  senses barometric pressure of an ambient environment surrounding the bed system for the particular time ( 2106 ). The barometric sensor  2004  can be located in the ambient environment outside of the bed system. 
     Sometimes, the barometric sensor  2004  can be attached to or otherwise integrated with one or more components of the bed system, such as a mattress, a controller for a pump, or a frame of a foundation under the mattress. The barometric pressure sensor  2004  detects or otherwise senses the barometric pressure surrounding the bed system at a same time as the bladder pressure sensor  2002  detects or senses the bladder pressure inside the air chamber. The barometric pressure sensor  2004  then transmits barometric pressure readings to the controller  1902  ( 2108 ). 
     The microclimate temperature sensor  2006  senses microclimate temperature in a microclimate around a sleeper of the bed system for the particular time ( 2110 ). The microclimate temperature sensor  2006  can be any type of temperature sensor that is positioned in the ambient environment and near the bed system or otherwise configured to/integrated with the bed system (e.g., refer to  FIG.  20   ). The microclimate temperature sensor  2006  can detect or otherwise sense the microclimate temperature in the microclimate around the sleeper at the same time as the bladder pressure sensor  2002  senses the bladder pressure inside an air bladder and the barometric sensor  2004  senses the barometric pressure of the ambient environment. The microclimate temperature sensor  2006  then transmits microclimate temperature readings to the controller  1902  ( 2112 ). In some implementations, the microclimate temperature sensor  2006  may not be part of the bed system and therefore may not provide microclimate temperature readings to the controller  1902 . Instead, the controller  1902  may only receive the bladder pressure readings and the barometric pressure readings. 
     In some implementations,  2102 ,  2106 , and  2110  can be performed at a same time.  2102 ,  2106 , and  2110  can also be performed sequentially or in any other order. As mentioned above, the  2102 ,  2106 , and  2110  can also be continuously performed. Moreover,  2104 ,  2108 , and  2112  can be performed at a same time, sequentially, or in any other order. As an example, each of the sensors  2002 ,  2004 , and  2006  can sense readings in  2102 ,  2106 , and  2110  at a same time then transmit the readings to the controller  1902  in  2104 ,  2108 , and  2112  at a same time that is different or later than the time that the readings are sensed in  2102 ,  2106 , and  2110 . 
     The controller  1902  receives the readings from the sensors  2002 ,  2004 , and  2006  in  2114 . As mentioned above, the controller  1902  can receive the readings some time after the readings are detected in  2102 ,  2106 , and/or  2110 . The controller  1902  can receive all the readings at once. The controller  1902  can also receive the readings in real time as they are detected and transmitted to the controller  1902 . 
     The controller  1902  provides the readings as input to an ambient temperature classifier ( 2116 ). The controller  1902  can provide all the readings as input. 
     Sometimes, the controller  1902  can provide a proper subset of the readings as input. The proper subset can include some but not all of the readings that are received in  2114 . For example, the controller  1902  may provide the bladder pressure readings and the barometric pressure readings as input to the ambient temperature classifier. Other times, the controller  1902  may only provide the microclimate temperature readings as input to the ambient temperature classifier. One or more other combinations of readings are also possible as input. 
     The controller  1902  then receives output from the ambient temperature classifier of an ambient temperature value ( 2118 ). As mentioned throughout, the ambient temperature value indicates a temperature of a room or environment that surrounds the bed system. 
     For example, if the bed is located in a bedroom, the ambient temperature value can indicate a current temperature of the bedroom. The ambient temperature value can be different than other temperature values throughout the home. In other words, an HVAC unit may have a thermostat in a portion of the home that does not reflect an actual, current temperature in the bedroom. Instead, the thermostat can indicate a current temperature for the portion of the home where the thermostat is located. The ambient temperature value determined by the ambient temperature classifier can therefore be a more accurate reading of the current temperature in the bedroom. Moreover, the ambient temperature value can be more accurate than temperature readings of the thermostat because the ambient temperature value can be based on a variety of factors (e.g., barometric pressure, air bladder pressure, user/sleeper microclimate temperature) that may otherwise not be detected or used by the thermostat to determine the current temperature in the portion of the home where the thermostat is located. Using the ambient temperature value to control the HVAC unit can be advantageous to provide more accurate and preferred heating or cooling to the room where the user is currently sleeping. When control of the HVAC unit is based on temperature values of rooms other than the room where the user is sleeping, the user may wake up, become uncomfortable, or otherwise sleep poorly (e.g., the temperature detected by the HVAC thermostat can be much higher than the ambient temperature value of the bedroom. Nevertheless, the HVAC may be turned on to blast cold air into every room in the home in order to lower the home temperature from the temperature detected by the thermostat, thereby making the user colder, too cold, or otherwise uncomfortable in the bedroom. This discomfort can disrupt the user&#39;s sleep and sleep quality). 
     The ambient temperature classifier can determine the ambient temperature value for the particular time based on the readings that are provided as input in  2116 . 
     Thus, the ambient temperature classifier can determine real time ambient temperature based on currently detected bladder pressure, barometric pressure, and/or microclimate temperature. 
     The ambient temperature classifier can be trained with machine learning processes to make such a determination. Training can be performed using training data that includes bladder pressure reading to barometric pressure reading pairs and training ambient temperature values. In other words the ambient temperature classifier can be trained to identify associations between different bladder pressure readings and barometric pressure readings. The ambient temperature classifier can then be trained to correlate such associations with different ambient temperature values. 
     Training can be performed by a remote computing system. Training can also be performed at the controller  1902 . Sometimes, the ambient temperature classifier can be stored and accessed locally at the controller  1902 . Other times, the ambient temperature classifier can be a cloud-based service that the controller  1902  communicates with (e.g., wirelessly) over one or more networks. Moreover, the ambient temperature classifier can be continuously trained based on determinations made by the ambient temperature classifier during run time. Continuous training can be beneficial to improve accuracy in determining ambient temperature values by the ambient temperature classifier. 
     The ambient temperature classifier can determine temperature in the ambient environment using a variety of techniques. For example, the ambient temperature classifier can perform a calculation that removes the influence of the barometric pressure on the bladder pressure to determine the ambient temperature value. 
     As another example, the ambient temperature classifier can determine a thermal pressure value for the air bladder by reducing the bladder pressure readings based on the barometric pressure readings. The ambient temperature classifier can then determine the ambient temperature value in a model of contents of the air bladder that relates thermal pressure to the ambient temperature. The model can be based on an ideal gas law. Moreover, the contents of the air bladder can include both a gas and an open cell foam. The model can further be based on thermal expansion properties of the open cell foam. 
     As yet another example, the ambient temperature classifier can determine the ambient temperature value by looking up the ambient temperature in a lookup table indexed by bladder pressure and barometric pressure. The lookup table can indicate what bladder pressure and barometric pressure readings are associated with which ambient temperature values. Oftentimes, increased pressure readings can indicate a higher temperature, while decreased pressure readings can indicate a lower temperature. The lookup table can provide ranges and/or exact ambient temperature values based on different bladder pressures and barometric pressures. The lookup table can be locally stored and accessed at the controller  1902 . The lookup table can also be stored in a data store that is in communication (e.g., wireless) with the ambient temperature classifier over one or more networks. 
     When the readings that are provided as input include the microclimate temperature readings, the ambient temperature classifier can determine temperature in the ambient environment by removing the influence of the barometric pressure and the microclimate temperature on the bladder pressure. After all, the microclimate temperature can cause pressure on the air bladder. The warmer the user&#39;s body is, the more pressure will be applied to the air bladder. Thus, the microclimate temperature can be taken into account when identifying how much pressure is applied to the air bladder, which can further correspond to the ambient temperature value. 
     Based on the ambient temperature value, the controller  1902  can determine a home automation event in  2120 . For example, the controller  1902  can determine one or more home automation events that can be performed by the automation controller  1914  based on the ambient temperature value. The controller  1902  can determine whether the ambient temperature value is above or below a threshold temperature value or range. The threshold temperature value or range can be determined by the controller  1902  and based on historic temperature values of the environment surrounding the bed system. The threshold temperature value or range can be based on prior or historic sleep metrics associated with the user of the bed system. For example, the controller  1902  (or another computing system in communication with the bed system) can determine one or more ambient conditions, such as the threshold temperature value or range, that provides the user with optimal sleep experience and sleep quality based on analysis of prior sleep patterns of the user. Sometimes, the threshold temperature value or range can be set by the user and provided to the controller  1902  as user input from a user computing device (e.g., a mobile application presented at the user&#39;s smartphone) that is in communication with the controller  1902 . 
     If the ambient temperature value is above the threshold temperature value or range, then the controller  1902  can determine a home automation event of actuating a cooling system in the home (e.g., turning on the HVAC unit). In other words, the controller  1902  can determine that the room where the bed system is located is currently too warm. The temperature can be lowered in order to bring the temperature of the room to a more desirable temperature for providing the user with optimal sleep quality and comfort. The controller  1902  can also determine that the cooling system may remain turned on until a new ambient temperature value is determined at a later time and that ambient temperature value is below the threshold temperature value or range. Sometimes, the controller  1902  can determine that the cooling system may remain turned on for a predetermined amount of time. 
     If, on the other hand, the ambient temperature value is below the threshold temperature value or range, then the controller  1902  can determine a home automation event of actuating a heating system in the home. In other words, the controller  1902  may determine that the room where the bed system is located is too cold for the user to experience optimal sleep quality and comfort. Increasing the temperature in the room can therefore improve the user&#39;s sleep quality and comfort. The controller  1902  can also determine that the heating system may remain turned on until a new ambient temperature value is determined at a later time that is above the threshold temperature value or range. As mentioned above, the controller  1902  can also determine that the heating system may remain turned on for a predetermined amount of time. 
     In some implementations, the determined home automation event can simply be turning off a heating or cooling system in the home. In other words, the heating or cooling system may already be turned on in the home. Where the ambient temperature value is below the threshold temperature value or range, the controller  1902  can determine that the cooling system should be turned off. This is because a desired, cool temperature may already be reached in the room where the bed system is located. On the other hand, where the ambient temperature value is above the threshold temperature value or range, the controller  1902  can determine that the heating system should be turned off. This is because a desired, warm temperature may already be reached in the room where the bed system is located. 
     One or more other home automation events can be determined, including but not limited to changing lighting in the environment surrounding the bed system or changing one or more settings of the bed system. As an illustrative example, a home automation event can include raising or lowering blinds in the room where the bed system is located in order to filter how much sunlight enters and heats up the room. When the ambient temperature value exceeds the threshold temperature value or range, the controller  1902  can determine that the blinds should be lowered to reduce how much more sunlight enters the room and heats up the room (e.g., this can occur during the summer, midday, etc.). On the other hand, when the ambient temperature value is less than the threshold temperature value or range, such as in the morning after the temperature has lowered during the night (e.g., or during the winter), the controller  1902  can determine that the blinds should be raised to let in more sunlight and subsequently to heat up the room with the sunlight. 
     As another illustrative example, heating or cooling elements of the bed system can be actuated or deactivated. When the ambient temperature value exceeds the threshold temperature value or range, a cooling element can be actuated in the bed system in order to reduce a microclimate temperature of the user on the bed system. The surrounding environment can be warm, but the bed system temperature can be adjusted to make the user more comfortable by cooling the top surface of the bed system. This can be beneficial in scenarios where a heating or cooling unit is not in the room where the bed system is located or a heating or cooling unit of the home does not provide direct heating or cooling to the room where the bed system is located. This can also be beneficial in scenarios where a heating or cooling unit in the home is activated but additional heating or cooling is needed (e.g., during a heat wave or a winter storm, when there are extreme temperatures it can be preferred to implement multiple home automation events). Similarly, when the ambient temperature value is less than the threshold temperature value or range, a heating element can be actuated in the bed system in order to increase a microclimate temperature of the user on the bed system. As a result, the user can be more directly warmed when heat is provided to the top surface of the bed system. One or more other home automation events or bed system adjustments are possible. 
     Sometimes, the controller  1902  can identify discontinuities, greater than a threshold value, in a record of ambient pressure values over time. The identified discontinuities can indicate bed entry and exit events. For example, when a user is sleeping on the bed system, additional pressure from the user&#39;s body can be applied to the air bladder of the bed system. The user&#39;s microclimate temperature can also apply more pressure to the air bladder. Consequently, the ambient temperature value can be a higher temperature value based on the increased pressure that is detected on the air bladder. When this ambient temperature value remains relatively consistent for some predetermined amount of time (e.g.,  7  or more hours), the controller  1902  can determine that the user has entered the bed system and is sleeping on the bed system for that period of time. The controller  1902  can also determine whether over time, the ambient temperature remains relatively the same and consistent for the predetermined amount of time (e.g., every day for 8 hours each day, the ambient temperature value is approximately the same). If the ambient temperature remains relatively the same and consistent, the controller  1902  can determine that same or similar home automation events can be made each night that the user has entered the bed system and is sleeping on the bed system. 
     Likewise, if the ambient temperature value suddenly drops and remains at that lower value for some predetermined amount of time, the controller  1902  can determine that the user has exited the bed system. After all, when the user gets up from the bed, pressure from the user&#39;s body and microclimate temperature of the user are removed from the bed system (e.g., and more specifically, the air bladder). The ambient temperature value would be lower. If the controller  1902  determines that the user exited the bed system, the controller  1902  may not determine any home automation events until a triggering condition occurs. The triggering condition can include detection of different readings by the sensors  2002 ,  2004 , and  2006 , determination of a new ambient temperature value, and/or passing of a predetermined amount of time. 
     Next, the automation controller  1914  initiates the home automation event in  2122 . As mentioned above, the automation controller  1914  and the controller  1902  can be separate components in data communication (e.g., wired, wireless) via one or more networks. Sometimes, the automation controller  1914  can be the same as the controller  1902  or otherwise part of a same component, computing system, mobile computing device, and/or server, as described above in reference to  FIGS.  19 - 20   . Thus, sometimes the controller  1902  can initiate the home automation event in  2122  instead of the automation controller  1914 . Sometimes, the controller  1902  can initiate some home automation events (e.g., activating/deactivating heating or cooling elements of the bed system) and the automation controller  1914  can initiate other home automation events (e.g., activating/deactivating the HVAC unit of the home).