PATENT DOCUMENT

Publication Number: US-9432954-B2
Application Number: US-201313913271-A
Country: US
Kind Code: B2

Title: Determination of device body location

Abstract:
In some implementations, a mobile device can analyze motion sensor data during a voice call to determine whether the mobile device is on a stationary object or worn on a user&#39;s body (e.g., in the lap or pocket of a user of the mobile device). The mobile device can adjust the transmit power level of the telephony transceiver during the voice call based on the determination.

Claims:
What is claimed is: 
     
       1. A method comprising:
 connecting, by a mobile device, a voice call for a user of the mobile device, wherein connecting the voice call causes one or more radio frequency transmitters of the mobile device to transmit radio waves at a first power level; 
 collecting motion signal samples from a motion sensor of the mobile device, each motion signal sample indicating a respective magnitude of motion of the mobile device; 
 calculating a statistical variance of the motion signal samples; 
 determining a length of time that has passed since the voice call was connected; 
 distinguishing between the mobile device being on the user&#39;s body and the mobile device being on an inanimate object based on the calculated statistical variance of the motion signal samples and the length of time that has passed since the voice call was connected; and 
 adjusting the transmit power level from the first power level to a second power level based on distinguishing between the mobile device being on the user&#39;s body and the mobile device being on an inanimate object. 
 
     
     
       2. The method of  claim 1 , further comprising:
 determining that the mobile device is on the user&#39;s body; and 
 adjusting the transmit power level to a low power level when the mobile device is on the user&#39;s body. 
 
     
     
       3. The method of  claim 1 , further comprising:
 determining that the mobile device is on an inanimate object; and 
 adjusting the transmit power level to a high power level when the mobile device is on an inanimate object. 
 
     
     
       4. A non-transitory computer-readable medium including one or more sequences of instructions which, when executed by one or more processes, causes:
 connecting, by a mobile device, a voice call for a user of the mobile device, wherein connecting the voice call causes one or more radio frequency transmitters of the mobile device to transmit radio waves at a first power level; 
 collecting motion signal samples from a motion sensor of the mobile device, each motion signal sample indicating a respective magnitude of motion of the mobile device; 
 calculating a statistical variance of the motion signal samples; 
 determining a length of time that has passed since the voice call was connected; 
 distinguishing between the mobile device being on the user&#39;s body and the mobile device being on an inanimate object based on the calculated statistical variance of the motion signal samples and the length of time that has passed since the voice call was connected; 
 adjusting the transmit power level from the first power level to a second power level based on distinguishing between the mobile device being on the user&#39;s body and the mobile device being on an inanimate object. 
 
     
     
       5. The non-transitory computer-readable medium of  claim 4 , wherein the instructions cause:
 determining that the mobile device is on the user&#39;s body; and 
 adjusting the transmit power level to a low power level when the mobile device is on the user&#39;s body. 
 
     
     
       6. The non-transitory computer-readable medium of  claim 4 , wherein the instructions cause:
 determining that the mobile device is on an inanimate object; and 
 adjusting the transmit power level to a high power level when the mobile device is on an inanimate object. 
 
     
     
       7. A system comprising:
 one or more processors; and 
 a non-transitory computer-readable medium including one or more sequences of instructions which, when executed by the one or more processes, causes:
 connecting, by a mobile device, a voice call for a user of the mobile device, wherein connecting the voice call causes one or more radio frequency transmitters of the mobile device to transmit radio waves at a first power level; 
 collecting motion signal samples from a motion sensor of the mobile device, each motion signal sample indicating a respective magnitude of motion of the mobile device; 
 calculating a statistical variance of the motion signal samples; 
 determining a length of time that has passed since the voice call was connected; 
 distinguishing between the mobile device being on the user&#39;s body and the mobile device being on an inanimate object based on the calculated statistical variance of the motion signal samples and the length of time that has passed since the voice call was connected; and 
 adjusting the transmit power level from the first power level to a second power level based on distinguishing between the mobile device being on the user&#39;s body and the mobile device being on an inanimate object. 
 
 
     
     
       8. The system of  claim 7 , wherein the instructions cause:
 determining that the mobile device is on the user&#39;s body; and 
 adjusting the transmit power level to a low power level when the mobile device is on the user&#39;s body. 
 
     
     
       9. The system of  claim 7 , wherein the instructions cause:
 determining that the mobile device is on an inanimate object; and 
 adjusting the transmit power level to a high power level when the mobile device is on an inanimate object. 
 
     
     
       10. The method of  claim 1 , wherein distinguishing between the mobile device being on the user&#39;s body and the mobile device being on an inanimate object comprises:
 determining that the statistical variance of motion signals does not exceed a threshold variance value; 
 determining that the length of time that has passed since the voice call was connected exceeds a threshold time value; and 
 upon determining that the statistical variance of motion signals does not exceed a threshold variance value and determining that the length of time that has passed since the voice call was connected exceeds a threshold time value, determining that the mobile device is on the inanimate object. 
 
     
     
       11. The method of  claim 1 , wherein distinguishing between the mobile device being on the user&#39;s body and the mobile device being on an inanimate object comprises:
 determining that the statistical variance of motion signals does not exceed a threshold variance value; 
 determining that the length of time that has passed since the voice call was connected does not exceed a threshold time value; and 
 upon determining that the statistical variance of motion signals does not exceed a threshold variance value and determining that the length of time that has passed since the voice call was connected does not exceed a threshold time value, collecting additional motion signal samples from the motion sensor of the mobile device. 
 
     
     
       12. The method of  claim 1 , further comprising:
 obtaining additional motion data describing additional movement of the mobile device; and 
 determining whether the mobile device is in a transition state between the user&#39;s body and the inanimate object based on the additional motion data. 
 
     
     
       13. The non-transitory computer-readable medium of  claim 4 , wherein distinguishing between the mobile device being on the user&#39;s body and the mobile device being on an inanimate object comprises:
 determining that the statistical variance of motion signals does not exceed a threshold variance value; 
 determining that the length of time that has passed since the voice call was connected exceeds a threshold time value; and 
 upon determining that the statistical variance of motion signals does not exceed a threshold variance value and determining that the length of time that has passed since the voice call was connected exceeds a threshold time value, determining that the mobile device is on the inanimate object. 
 
     
     
       14. The non-transitory computer-readable medium of  claim 4 , wherein distinguishing between the mobile device being on the user&#39;s body and the mobile device being on an inanimate object comprises:
 determining that the statistical variance of motion signals does not exceed a threshold variance value; 
 determining that the length of time that has passed since the voice call was connected does not exceed a threshold time value; and 
 upon determining that the statistical variance of motion signals does not exceed a threshold variance value and determining that the length of time that has passed since the voice call was connected does not exceed a threshold time value, collecting additional motion signal samples from the motion sensor of the mobile device. 
 
     
     
       15. The non-transitory computer-readable medium of  claim 4 , wherein the instructions cause:
 obtaining additional motion data describing additional movement of the mobile device; and 
 determining whether the mobile device is in a transition state between the user&#39;s body and the inanimate object based on the additional motion data. 
 
     
     
       16. The system of  claim 7 , wherein distinguishing between the mobile device being on the user&#39;s body and the mobile device being on an inanimate object comprises:
 determining that the statistical variance of motion signals does not exceed a threshold variance value; 
 determining that the length of time that has passed since the voice call was connected exceeds a threshold time value; and 
 upon determining that the statistical variance of motion signals does not exceed a threshold variance value and determining that the length of time that has passed since the voice call was connected exceeds a threshold time value, determining that the mobile device is on the inanimate object. 
 
     
     
       17. The system of  claim 7 , wherein distinguishing between the mobile device being on the user&#39;s body and the mobile device being on an inanimate object comprises:
 determining that the statistical variance of motion signals does not exceed a threshold variance value; 
 determining that the length of time that has passed since the voice call was connected does not exceed a threshold time value; and 
 upon determining that the statistical variance of motion signals does not exceed a threshold variance value and determining that the length of time that has passed since the voice call was connected does not exceed a threshold time value, collecting additional motion signal samples from the motion sensor of the mobile device. 
 
     
     
       18. The system of  claim 7 , wherein the instructions cause:
 obtaining additional motion data describing additional movement of the mobile device; and 
 determining whether the mobile device is in a transition state between the user&#39;s body and the inanimate object based on the additional motion data.

Description:
TECHNICAL FIELD 
     The disclosure generally relates to motion analysis on a mobile device. 
     BACKGROUND 
     Mobile devices often include telephony features that allow users to receive and place voice calls over a wireless network. For example, modern smartphones include wireless transceivers that allow the smartphones to receive and place telephone calls over cellular voice and/or data networks (e.g., CDMA, 2G, 3G, 4G LTE, etc.). These wireless transceivers can transmit at different power levels. Transmitting at high power levels can improve the quality of the voice calls. Transmitting at low power levels may be required when the mobile device is worn on or near the user&#39;s body to comply with government regulations. 
     SUMMARY 
     In some implementations, a mobile device can analyze motion sensor data during a voice call to determine whether the mobile device is on a stationary object (e.g., table) or worn on a user&#39;s body (e.g., in the lap or pocket of a user of the mobile device). The mobile device can adjust the transmit power level of the telephony transceiver during the voice call based on the determination. 
     Particular implementations provide at least the following advantages: The user can experience better quality voice calls when the mobile device is on a stationary object (e.g., a table) during voice call because the voice call can be transmitted using a high transmission power level. 
     Details of one or more implementations are set forth in the accompanying drawings and the description below. Other features, aspects, and potential advantages will be apparent from the description and drawings, and from the claims. 
    
    
     
       DESCRIPTION OF DRAWINGS 
         FIG. 1  illustrates an example graph showing motion variance of the mobile device for stationary object and on user positions. 
         FIG. 2  is a flow diagram of an example process for determining whether the mobile device is on a stationary object or on a user. 
         FIG. 3  illustrates an example state machine for determining the whether the mobile device is on a stationary object or on the user&#39;s body. 
         FIG. 4  is flow diagram of an example process for adjusting the transmit power of a mobile device based on a user body location of the mobile device. 
         FIG. 5  is a block diagram illustrating an example API architecture, which can be used in some implementations. 
         FIG. 6  illustrates an example software stack that includes various application programming interfaces. 
         FIG. 7  is a block diagram of an example computing device that can implement the features and processes of  FIGS. 1-6 . 
     
    
    
     Like reference symbols in the various drawings indicate like elements. 
     DETAILED DESCRIPTION 
     Overview 
     In some implementations, a mobile device can be configured with one or more motion sensors. For example, a motion sensor can be an accelerometer, gyroscope or other type of motion sensor. In some implementations, the mobile device can be configured with telephony components that allow a user to make and receive telephone calls. For example, telephony components can include one or more radio frequency transceivers that are configured to access one or more radio access technologies (e.g., GSM, UMTS, 2G, 3G, LTE, etc.). 
     In some implementations, the mobile device can be configured to adjust the transmission power of the telephony components when the mobile device connects to a voice call. For example, the mobile device can be configured to adjust the transmission power based on whether the mobile device is on a stationary object (e.g., a table) or worn on the user&#39;s body (e.g., on the user&#39;s lap, in the user&#39;s pocket, etc.). 
       FIG. 1  illustrates an example graph  100  showing motion variance of the mobile device for stationary object  102  and on user positions  104 . The vertical axis  106  of graph  100  indicates the amount of variance. In some implementations, the determination of whether the mobile device is on a stationary object or worn by the user can be based on the variance in magnitude (i.e., amplitude) of a motion signal generated by the mobile device&#39;s motion sensor. For example, when the mobile device is on a stationary object  102  (e.g., a table), the variance in the motion signal magnitude (i.e., amplitude) will be small, as demonstrated by variance measurements  108 . When the mobile device is on the lap or in the pocket of a user, the variance of the motion signal will be similar to that of the motion signal when the mobile device is on a stationary object, as demonstrated by variance measurements  110 . However, when the mobile device is worn on the user&#39;s body, the user will eventually move and thereby create a magnitude spike in the motion signal that will temporarily increase the variance of the motion signal, as indicated by variance measurement  112 . When the mobile device detects that the variance of the motion signal has exceeded a variance threshold  114  (e.g., a predefined, empirically determined threshold), the mobile device can determine that the mobile device is located or positioned on the user&#39;s body (e.g., lap, pocket, etc.). If the mobile device does not detect the variance increase within a period of time (e.g., a predefined, empirically determined period of time), then the mobile device can determine that the mobile device is located or positioned on a stationary (e.g., inert, inanimate) object. 
       FIG. 2  is a flow diagram of an example process  200  for determining whether the mobile device is on a stationary object or on a user. In some implementations, the mobile device can connect to a voice call  202  at a time T 0  (e.g., T 0  is the time when the call is connected). For example, the mobile device can be configured with telephony features that allow a user to place and receive voice calls. When the mobile device connects to a voice call, the mobile device can obtain motion data (e.g., a motion signal) from a motion sensor of the mobile device  204 . For example, the mobile device can generate motion signal that indicates the amount (e.g., magnitude and frequency) of motion over time based on motion data received from the motion sensor. The mobile device can apply a low pass filter  206  to the motion signal to filter out (e.g., attenuate) high frequency motion signals (e.g., noise). 
     In some implementations, the mobile device can be configured to sample the filtered motion signal  208  for a period of time (i.e., the sample period). For example, the mobile device can be configured to collect samples of the motion signal over the sample period. The mobile device can sample and store into a buffer five (5) seconds of the filtered motion signal, for example. In some implementations, the motion signal samples can be analyzed to determine the variance of the motion signal  210  during the sample period. For example, the motion signal sample can be passed through a variance filter or other variance calculating function that will determine the variance of the motion signal samples. 
     Once the variance of the motion signal samples is determined, the variance can be compared to a variance threshold value  212  to determine if the variance threshold value has been exceeded by the motion signal samples. For example, if the variance of the motion signal samples is greater than the motion variance threshold, then the mobile device can determine that the mobile device is located or positioned on the user&#39;s body  214 . If the variance of the motion signal samples is not greater than the motion variance threshold, then the mobile device can compare the amount of time that has passed since the voice call was connected (e.g., T current −T 0 ) to a threshold period of time  216 . For example, if the threshold period of time has elapsed since the voice call was connected and the variance of the motion signal (as determined from the motion signal samples) has not exceeded the variance threshold within the threshold period of time, then the mobile device can determine that the mobile device is located on a stationary object  218  and not located on the user. 
     If the threshold period of time has not elapsed since the call was connected, then the mobile device can collect another set of motion signal samples  208  and determine whether the variance of the motion signal samples  210  exceeds the variance threshold  212 . Collecting samples and comparing the variance of the samples to the variance threshold can continue until the threshold period of time has elapsed  216  and the on object location  218  of the mobile device is determined. If the variance of a set of motion signal samples  210  exceeds the variance threshold  212  before the threshold period of time has elapsed, then an on user location  214  location of the mobile device can be determined. 
     In some implementations, the mobile device can determine that the threshold period of time has elapsed using a counter. For example, if the threshold period of time is one minute and the sample period is ten seconds, then the mobile device can determine that the threshold period of time has elapsed after six motion signal samples have been taken. Thus, in some implementations, each time the mobile device determines whether the threshold period of time has elapsed  216 , the mobile device can increment a counter (e.g., starting from zero). Once the counter has reached a number (n) equal to the threshold period of time divided by the sample period (n=threshold period/sample period), then the mobile device can determine that the mobile device is on a stationary object  218 , as described above. 
     In some implementations, when a voice call is connected  202 , the mobile device can be configured to adjust the transmit power of the telephony components of the mobile device to a low power level as if it has determined that the mobile device is being worn on the user&#39;s body. For example, the mobile device can be configured to default or initialize to the on body location. After the threshold period of time has passed  216 , and if the variance of the motion signal never exceeds the threshold variance  212 , then the mobile device can determine that the mobile device is located or positioned on a stationary object and can increase the transmit power to a high power level. 
       FIG. 3  illustrates an example state machine  300  for determining the whether the mobile device is on a stationary object or on the user&#39;s body. For example, state machine  300  can be used to determine where the mobile device is currently positioned (e.g., on a stationary object, on the user&#39;s body). The mobile device can use the current state of the state machine  300  to determine whether to adjust the transmit power of the mobile device. 
     In some implementations, the mobile device can be configured to start in an unknown state  304  when a voice call is connected  302 . In some implementations, the mobile device can be configured to start in the on body state  306  when a call is connected  302 . Once the call is connected, the mobile device can monitor the movement of the mobile device to determine a stationary object  308  or on body  306  position for the mobile device, as described above with reference to  FIG. 2 . For example, if an on stationary object location (e.g., on table) is determined, then the state machine  300  can transition from unknown state  304  to on object state  308 . If an on body location (e.g., on user&#39;s lap, in user&#39;s pocket) is determined, then the state machine  300  can transition from unknown state  304  to on body state  306 . 
     In some implementations, the state machine  300  can include an in hand state  310  for transitioning between the on object state  308  and on body state  306 . For example, if the mobile device is on an object, such as a table, the user will likely pick up the mobile device before putting the mobile device on the user&#39;s body (e.g., in the user&#39;s pocket, on the user&#39;s lap). If the mobile device is on the user&#39;s body, the user will likely pick up the mobile device before putting the mobile device on a stationary object. In either case, the mobile device will be held in the user&#39;s hand during the transition from an on body location to an on object location or from an on object location to an on body location. 
     Similarly, the state machine  300  can be configured with an in hand state  310  for transitioning between on object state  308  and on body state  306 . For example, once in the on object state  308  or the on body state  306  the mobile device can continue analyzing motion data (e.g., motion signal) from the mobile device&#39;s motion sensor. If the motion data indicates a pattern of motion consistent with the mobile device being picked up or held in hand, the state machine  300  can transition from on object state  308  or on body state  306  to in hand state  310 . 
     In some implementations, when the state machine  300  indicates that the mobile device is in the in hand state  310 , the mobile device can perform process  200  to determine whether to transition to on object state  308  or on body state  306 . For example, when the state machine  300  is in the in hand state  310 , the mobile device can perform steps  204 - 218  of process  200  to determine whether and when to transition from the in hand state  310  to the on body state  306  or on object state  308 . 
       FIG. 4  is flow diagram of an example process  400  for adjusting the transmit power of a mobile device based on a user body location of the mobile device. At step  402 , the mobile device can connect to a voice call. For example, a user can use the mobile device to initiate or receive voice calls (e.g., telephone call) on the mobile device. 
     At step  404 , the mobile device can determine whether the mobile device is on the user&#39;s body or on an object. For example, the mobile device can perform process  200  of  FIG. 2  and/or use state machine  300  of  FIG. 3  to determine whether the mobile device is located on the user&#39;s body (e.g., in pocket, on lap, etc.) or on a stationary object (e.g., table, desk, floor, etc.). 
     At step  406 , the mobile device can adjust the transmit power of the mobile device based on the location or position of the mobile device. For example, if the mobile device is on the user&#39;s body, the mobile device can reduce the transmit power of the mobile device to a predetermined low power level. If the mobile device is on a stationary object (e.g., away from the user&#39;s body), then the mobile device can increase the transmit power of the mobile device to a predetermined high power level. 
     Application Programming Interfaces 
     One or more Application Programming Interfaces (APIs) may be used in implementations described herein. An API is an interface implemented by a program code component or hardware component (hereinafter “API-implementing component”) that allows a different program code component or hardware component (hereinafter “API-calling component”) to access and use one or more functions, methods, procedures, data structures, classes, and/or other services provided by the API-implementing component. An API can define one or more parameters that are passed between the API-calling component and the API-implementing component. 
     An API allows a developer of an API-calling component (which may be a third party developer) to leverage specified features provided by an API-implementing component. There may be one API-calling component or there may be more than one such component. An API can be a source code interface that a computer system or program library provides in order to support requests for services from an application. An operating system (OS) can have multiple APIs to allow applications running on the OS to call one or more of those APIs, and a service (such as a program library) can have multiple APIs to allow an application that uses the service to call one or more of those APIs. An API can be specified in terms of a programming language that can be interpreted or compiled when an application is built. 
     In some implementations, the API-implementing component may provide more than one API, that provide access to different aspects of the functionality implemented by the API-implementing component. For example, one API of an API-implementing component can provide a first set of functions and can be exposed to third party developers, and another API of the API-implementing component can be hidden (not exposed) and provide a subset of the first set of functions and also provide another set of functions, such as testing or debugging functions which are not in the first set of functions. In other implementations, the API-implementing component may itself call one or more other components via an underlying API and thus be both an API-calling component and an API-implementing component. 
     An API defines the language and parameters that API-calling components use when accessing and using specified features of the API-implementing component. For example, an API-calling component accesses the specified features of the API-implementing component through one or more API calls or invocations (embodied for example by function or method calls) exposed by the API and passes data and control information using parameters via the API calls or invocations. The API-implementing component may return a value through the API in response to an API call from an API-calling component. While the API defines the syntax and result of an API call (e.g., how to invoke the API call and what the API call does), the API may not reveal how the API call accomplishes the function specified by the API call. Various API calls are transferred via the one or more application programming interfaces between the calling (API-calling component) and an API-implementing component. Transferring the API calls may include issuing, initiating, invoking, calling, receiving, returning, or responding to the function calls or messages; in other words, transferring can describe actions by either of the API-calling component or the API-implementing component. The function calls or other invocations of the API may send or receive one or more parameters through a parameter list or other structure. A parameter can be a constant, key, data structure, object, object class, variable, data type, pointer, array, list or a pointer to a function or method or another way to reference a data or other item to be passed via the API. 
     Furthermore, data types or classes may be provided by the API and implemented by the API-implementing component. Thus, the API-calling component may declare variables, use pointers to, use or instantiate constant values of such types or classes by using definitions provided in the API. 
     Generally, an API can be used to access a service or data provided by the API-implementing component or to initiate performance of an operation or computation provided by the API-implementing component. By way of example, the API-implementing component and the API-calling component may each be any one of an operating system, a library, a device driver, an API, an application program, or other module (e.g., the API-implementing component and the API-calling component may be the same or different type of module from each other). API-implementing components may in some cases be embodied at least in part in firmware, microcode, or other hardware logic. 
     In some implementations, an API may allow a client program to use the services provided by a Software Development Kit (SDK) library. In other embodiments an application or other client program may use an API provided by an Application Framework. In these implementations, the application or client program may incorporate calls to functions or methods provided by the SDK and/or provided by the API or use data types or objects defined in the SDK and provided by the API. An Application Framework may in these implementations provide a main event loop for a program that responds to various events defined by the Framework. The API allows the application to specify the events and the responses to the events using the Application Framework. In some implementations, an API call can report to an application the capabilities or state of a hardware device, including those related to aspects such as input capabilities and state, output capabilities and state, processing capability, power state, storage capacity and state, communications capability, etc., and the API may be implemented in part by firmware, microcode, or other low level logic that executes in part on the hardware component. 
     The API-calling component may be a local component (e.g., on the same data processing system as the API-implementing component) or a remote component (e.g., on a different data processing system from the API-implementing component) that communicates with the API-implementing component through the API over a network. An API-implementing component may also act as an API-calling component (e.g., it may make API calls to an API exposed by a different API-implementing component) and an API-calling component may also act as an API-implementing component by implementing an API that is exposed to a different API-calling component. 
     The API may allow multiple API-calling components written in different programming languages to communicate with the API-implementing component, thus the API may include features for translating calls and returns between the API-implementing component and the API-calling component. However the API may be implemented in terms of a specific programming language. An API-calling component can, in one embedment, call APIs from different providers such as a set of APIs from an OS provider and another set of APIs from a plug-in provider and another set of APIs from another provider (e.g. the provider of a software library) or creator of the another set of APIs. 
       FIG. 5  is a block diagram illustrating an example API architecture  500 , which can be used in some implementations. As shown in  FIG. 5 , the API architecture  500  includes the API-implementing component  510  (e.g., an operating system, a library, a device driver, an API, an application program, software or other module) that implements the API  520 . The API  520  can specifiy one or more functions, methods, classes, objects, protocols, data structures, formats and/or other features of the API-implementing component that may be used by the API-calling component  530 . The API  520  can specify at least one calling convention that specifies how a function in the API-implementing component receives parameters  532  from the API-calling component and how the function returns a result  522  to the API-calling component. The API-calling component  530  (e.g., an operating system, a library, a device driver, an API, an application program, software or other module), makes API calls through the API  520  to access and use the features of the API-implementing component  510  that are specified by the API  520 . The API-implementing component  510  may return a value through the API  520  to the API-calling component  530  in response to an API call. 
     For example, the API-implementing component  510  can include additional functions, methods, classes, data structures, and/or other features that are not specified through the API  520  and are not available to the API-calling component  530 . The API-calling component  530  may be on the same system as the API-implementing component  510  or may be located remotely and accesses the API-implementing component  510  using the API  520  over a network. While  FIG. 5  illustrates a single API-calling component  530  interacting with the API  520 , other API-calling components, which may be written in different languages (or the same language) than the API-calling component  530 , may use the API  520 . 
     The API-implementing component  510 , the API  520 , and the API-calling component  530  may be stored in a machine-readable medium, which includes any mechanism for storing information in a form readable by a machine (e.g., a computer or other data processing system). For example, a machine-readable medium includes magnetic disks, optical disks, random access memory; read only memory, flash memory devices, etc. 
       FIG. 6  illustrates an example software stack  600  that includes various application programming interfaces. As illustrated by  FIG. 6 , applications  602  and  604  can make calls to Service A  606  or Service B  608  using several Service APIs  610 - 616  and to Operating System (OS)  618  using several OS APIs  620 - 622 . Service A  606  or Service B  608  can make calls to OS using several OS APIs  620 - 622 . 
     Note that the Service B  608  has two APIs  612  and  614 , one of which, Service B API  1   612 , receives calls from and returns values to Application  1   602  and the other, Service B API  2   614 , receives calls from and returns values to Application  2   604 . Service A  606  (which can be, for example, a software library) makes calls to and receives returned values from OS API  1   620 , and Service B  622  (which can be, for example, a software library) makes calls to and receives returned values from both OS API  1   620  and OS API  2   622 . Application  2   604  makes calls to and receives returned values from OS API  2   622 . 
     Example System Architecture 
       FIG. 7  is a block diagram of an example computing device  700  that can implement the features and processes of  FIGS. 1-6 . The computing device  700  can include a memory interface  702 , one or more data processors, image processors and/or central processing units  704 , and a peripherals interface  706 . The memory interface  702 , the one or more processors  704  and/or the peripherals interface  706  can be separate components or can be integrated in one or more integrated circuits. The various components in the computing device  700  can be coupled by one or more communication buses or signal lines. 
     Sensors, devices, and subsystems can be coupled to the peripherals interface  706  to facilitate multiple functionalities. For example, a motion sensor  710 , a light sensor  712 , and a proximity sensor  714  can be coupled to the peripherals interface  706  to facilitate orientation, lighting, and proximity functions. Other sensors  716  can also be connected to the peripherals interface  706 , such as a global navigation satellite system (GNSS) (e.g., GPS receiver), a temperature sensor, a biometric sensor, magnetometer or other sensing device, to facilitate related functionalities. 
     A camera subsystem  720  and an optical sensor  722 , e.g., a charged coupled device (CCD) or a complementary metal-oxide semiconductor (CMOS) optical sensor, can be utilized to facilitate camera functions, such as recording photographs and video clips. The camera subsystem  720  and the optical sensor  722  can be used to collect images of a user to be used during authentication of a user, e.g., by performing facial recognition analysis. 
     Communication functions can be facilitated through one or more wireless communication subsystems  724 , which can include radio frequency receivers and transmitters and/or optical (e.g., infrared) receivers and transmitters. The specific design and implementation of the communication subsystem  724  can depend on the communication network(s) over which the computing device  700  is intended to operate. For example, the computing device  700  can include communication subsystems  724  designed to operate over a GSM network, a GPRS network, an EDGE network, a Wi-Fi or WiMax network, and a Bluetooth™ network. In particular, the wireless communication subsystems  724  can include hosting protocols such that the device  100  can be configured as a base station for other wireless devices. 
     An audio subsystem  726  can be coupled to a speaker  728  and a microphone  730  to facilitate voice-enabled functions, such as speaker recognition, voice replication, digital recording, and telephony functions. The audio subsystem  726  can be configured to facilitate processing voice commands, voiceprinting and voice authentication, for example. 
     The I/O subsystem  740  can include a touch-surface controller  742  and/or other input controller(s)  744 . The touch-surface controller  742  can be coupled to a touch surface  746 . The touch surface  746  and touch-surface controller  742  can, for example, detect contact and movement or break thereof using any of a plurality of touch sensitivity technologies, including but not limited to capacitive, resistive, infrared, and surface acoustic wave technologies, as well as other proximity sensor arrays or other elements for determining one or more points of contact with the touch surface  746 . 
     The other input controller(s)  744  can be coupled to other input/control devices  748 , such as one or more buttons, rocker switches, thumb-wheel, infrared port, USB port, and/or a pointer device such as a stylus. The one or more buttons (not shown) can include an up/down button for volume control of the speaker  728  and/or the microphone  730 . 
     In one implementation, a pressing of the button for a first duration can disengage a lock of the touch surface  746 ; and a pressing of the button for a second duration that is longer than the first duration can turn power to the computing device  700  on or off. Pressing the button for a third duration can activate a voice control, or voice command, module that enables the user to speak commands into the microphone  730  to cause the device to execute the spoken command. The user can customize a functionality of one or more of the buttons. The touch surface  746  can, for example, also be used to implement virtual or soft buttons and/or a keyboard. 
     In some implementations, the computing device  700  can present recorded audio and/or video files, such as MP3, AAC, and MPEG files. In some implementations, the computing device  700  can include the functionality of an MP3 player, such as an iPod™. The computing device  700  can, therefore, include a 36-pin connector that is compatible with the iPod. Other input/output and control devices can also be used. 
     The memory interface  702  can be coupled to memory  750 . The memory  750  can include high-speed random access memory and/or non-volatile memory, such as one or more magnetic disk storage devices, one or more optical storage devices, and/or flash memory (e.g., NAND, NOR). The memory  750  can store an operating system  752 , such as Darwin, RTXC, LINUX, UNIX, OS X, WINDOWS, or an embedded operating system such as VxWorks. 
     The operating system  752  can include instructions for handling basic system services and for performing hardware dependent tasks. In some implementations, the operating system  752  can be a kernel (e.g., UNIX kernel). In some implementations, the operating system  752  can include instructions for determining whether the mobile device is on a user&#39;s body or on a stationary object and adjusting the transmit power of the mobile device accordingly. For example, operating system  752  can implement the mobile device locating and transmission power adjustment features as described with reference to  FIGS. 1-6 . 
     The memory  750  can also store communication instructions  754  to facilitate communicating with one or more additional devices, one or more computers and/or one or more servers. The memory  750  can include graphical user interface instructions  756  to facilitate graphic user interface processing; sensor processing instructions  758  to facilitate sensor-related processing and functions; phone instructions  760  to facilitate phone-related processes and functions; electronic messaging instructions  762  to facilitate electronic-messaging related processes and functions; web browsing instructions  764  to facilitate web browsing-related processes and functions; media processing instructions  766  to facilitate media processing-related processes and functions; GNSS/Navigation instructions  768  to facilitate GNSS and navigation-related processes and instructions; and/or camera instructions  770  to facilitate camera-related processes and functions. The memory  750  can store software instructions  772  to facilitate other processes and functions, such as the mobile device locating and transmission power adjustment processes and functions as described with reference to  FIGS. 1-6 . 
     The memory  750  can also store other software instructions  774 , such as web video instructions to facilitate web video-related processes and functions; and/or web shopping instructions to facilitate web shopping-related processes and functions. In some implementations, the media processing instructions  766  are divided into audio processing instructions and video processing instructions to facilitate audio processing-related processes and functions and video processing-related processes and functions, respectively. 
     Each of the above identified instructions and applications can correspond to a set of instructions for performing one or more functions described above. These instructions need not be implemented as separate software programs, procedures, or modules. The memory  750  can include additional instructions or fewer instructions. Furthermore, various functions of the computing device  700  can be implemented in hardware and/or in software, including in one or more signal processing and/or application specific integrated circuits.

Metadata:
Filing Date: 20130607
Publication Date: 20160830
Grant Date: 20160830
Priority Date: 20130607
Inventors: PHAM HUNG A.
HOWELL ADAM S.
Assignee: APPLE INC
CPC Classifications: [{"code": "H04W52/367", "inventive": false, "first": false, "tree": "[]"}, {"code": "H04W52/367", "inventive": false, "first": false, "tree": "[]"}, {"code": "H04W52/285", "inventive": true, "first": true, "tree": "[]"}, {"code": "H04W52/283", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04W52/283", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04W52/367", "inventive": false, "first": false, "tree": "[]"}, {"code": "H04W52/285", "inventive": true, "first": true, "tree": "[]"}, {"code": "H04W52/283", "inventive": true, "first": true, "tree": "[]"}]
Family ID: 50555039