Abstract:
A system for medical diagnosis, monitoring, and treatment is described, including a medical band comprising one or more sensors configured to gather data associated with at least one symptom of a medical condition, a memory configured to store the data and an application, the application being configured to determine the medical condition using the data, a processor configured to execute the application, and a notification facility configured to provide a notification upon receiving from the application an instruction associated with the notification, wherein the notification is associated with a drug regimen.

Description:
CROSS-REFERENCE TO RELATED APPLICATIONS 
       [0001]    This application is a divisional of U.S. patent application Ser. No. 13/180,000, filed Jul. 11, 2011, which claims the benefit of U.S. Provisional Patent Application No. 61/495,995, filed Jun. 11, 2011 entitled “Data-Capable Strapband,” U.S. Provisional Patent Application No. 61/495,994, filed Jun. 11, 2011 entitled “Data-Capable Strapband,” U.S. Provisional Patent Application No. 61/495,997, filed Jun. 11, 2011 entitled “Data-Capable Strapband,” U.S. Provisional Patent Application No. 61/495,996, filed Jun. 11, 2011 entitled “Data-Capable Strapband”; U.S. patent application Ser. No. 13/180,000 is a continuation-in-part of prior U.S. patent application Ser. No. 13/158,416, filed Jun. 11, 2011 entitled “Component Protective Overmolding”, which is a continuation-in-part of prior U.S. patent application Ser. No. 13/158,372, filed Jun. 10, 2011 entitled “Component Protective Overmolding”; and U.S. patent application Ser. No. 13/180,000 is a continuation-in-part of U.S. patent application Ser. No. 13/158,372, filed Jun. 10, 2011 entitled “Component Protective Overmolding,” all of which are herein incorporated by reference for all purposes. 
     
    
     FIELD 
       [0002]    The present invention relates generally to electrical and electronic hardware, computer software, wired and wireless network communications, and computing devices. More specifically, techniques for a data-capable personal worn or carried device for medical diagnosis, monitoring, and treatment, are described. 
       BACKGROUND 
       [0003]    With the advent of greater computing capabilities in smaller personal and/or portable form factors and an increasing number of applications (i.e., computer and Internet software or programs) for different uses, consumers (i.e., users) have access to large amounts of personal data. Information and data are often readily available, but poorly captured using conventional data capture devices. Conventional devices typically lack capabilities that can capture, analyze, communicate, or use data in a contextually-meaningful, comprehensive, and efficient manner. Further, conventional solutions are often limited to specific individual purposes or uses, demanding that users invest in multiple devices in order to perform different activities (e.g., a sports watch for tracking time and distance, a GPS receiver for monitoring a hike or run, a cyclometer for gathering cycling data, and others). Although a wide range of data and information is available, conventional devices and applications fail to provide effective solutions that comprehensively capture data for a given user across numerous disparate activities. 
         [0004]    Some conventional solutions combine a small number of discrete functions. Functionality for data capture, processing, storage, or communication in conventional devices such as a watch or timer with a heart rate monitor or global positioning system (“GPS”) receiver are available conventionally, but are expensive to manufacture and purchase. Other conventional solutions for combining personal data capture facilities often present numerous design and manufacturing problems such as size restrictions, specialized materials requirements, lowered tolerances for defects such as pits or holes in coverings for water-resistant or waterproof devices, unreliability, higher failure rates, increased manufacturing time, and expense. Subsequently, conventional devices such as fitness watches, heart rate monitors, GPS-enabled fitness monitors, health monitors (e.g., diabetic blood sugar testing units), digital voice recorders, pedometers, altimeters, and other conventional personal data capture devices are generally manufactured for conditions that occur in a single or small groupings of activities. 
         [0005]    Generally, if the number of activities performed by conventional personal data capture devices increases, there is a corresponding rise in design and manufacturing requirements that results in significant consumer expense, which eventually becomes prohibitive to both investment and commercialization. Further, conventional manufacturing techniques are often limited and ineffective at meeting increased requirements to protect sensitive hardware, circuitry, and other components that are susceptible to damage, but which are required to perform various personal data capture activities. As a conventional example, sensitive electronic components such as printed circuit board assemblies (“PCBA”), sensors, and computer memory (hereafter “memory”) can be significantly damaged or destroyed during manufacturing processes where overmoldings or layering of protective material occurs using techniques such as injection molding, cold molding, and others. Damaged or destroyed items subsequently raises the cost of goods sold and can deter not only investment and commercialization, but also innovation in data capture and analysis technologies, which are highly compelling fields of opportunity. 
         [0006]    Thus, what is needed is a solution for data capture devices without the limitations of conventional techniques. 
     
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         [0007]    Various embodiments or examples (“examples”) are disclosed in the following detailed description and the accompanying drawings: 
           [0008]      FIG. 1  illustrates an exemplary data-capable band system; 
           [0009]      FIG. 2  illustrates a block diagram of an exemplary data-capable band; 
           [0010]      FIG. 3  illustrates sensors for use with an exemplary data-capable band; 
           [0011]      FIG. 4  illustrates an application architecture for an exemplary data-capable band; 
           [0012]      FIG. 5A  illustrates representative data types for use with an exemplary data-capable band; 
           [0013]      FIG. 5B  illustrates representative data types for use with an exemplary data-capable  band in fitness-related activities; 
           [0014]      FIG. 5C  illustrates representative data types for use with an exemplary data-capable  band in sleep management activities; 
           [0015]      FIG. 5D  illustrates representative data types for use with an exemplary data-capable band in medical-related activities; 
           [0016]      FIG. 6  illustrates a transition between modes of operation of a band in accordance with various embodiments; 
           [0017]      FIG. 7A  illustrates a perspective view of an exemplary data-capable band; 
           [0018]      FIG. 7B  illustrates a side view of an exemplary data-capable band; 
           [0019]      FIG. 8A  illustrates a perspective view of an exemplary data-capable band; 
           [0020]      FIG. 8B  illustrates a side view of an exemplary data-capable band; 
           [0021]      FIG. 9A  illustrates a perspective view of an exemplary data-capable band; 
           [0022]      FIG. 9B  illustrates a side view of an exemplary data-capable band; 
           [0023]      FIG. 10  illustrates an exemplary computer system suitable for use with a data-capable band; 
           [0024]      FIG. 11  depicts a representative implementation of one or more bands and equivalent devices, as wearable devices, to form unique motion profiles, according to various embodiments; and 
           [0025]      FIGS. 12 and 13  are diagrams representing examples of networks formed using one or more bands, according to some embodiments. 
       
    
    
     DETAILED DESCRIPTION 
       [0026]    Various embodiments or examples may be implemented in numerous ways, including as a system, a process, an apparatus, a user interface, or a series of program instructions on a computer readable medium such as a computer readable storage medium or a computer network where the program instructions are sent over optical, electronic, or wireless communication links. In general, operations of disclosed processes may be performed in an arbitrary order, unless otherwise provided in the claims. 
         [0027]    A detailed description of one or more examples is provided below along with accompanying figures. The detailed description is provided in connection with such examples, but is not limited to any particular example. The scope is limited only by the claims and numerous alternatives, modifications, and equivalents are encompassed. Numerous specific details are set forth in the following description in order to provide a thorough understanding. These details are provided for the purpose of example and the described techniques may be practiced according to the claims without some or all of these specific details. For clarity, technical material that is known in the technical fields related to the examples has not been described in detail to avoid unnecessarily obscuring the description. 
         [0028]      FIG. 1  illustrates an exemplary data-capable band system. Here, system  100  includes network  102 , bands  104 - 112 , server  114 , mobile computing device  116 , mobile communications device  118 , computer  120 , laptop  122 , and distributed sensor  124 . Bands  104 - 112  may be implemented as data-capable devices that may be worn as a strap or band around an arm, leg, ankle, or other bodily appendage or feature. In other examples, bands  104 - 112  may be attached directly or indirectly to other items, organic or inorganic, animate, or static. In still other examples, bands  104 - 112  may be used differently. 
         [0029]    As described above, bands  104 - 112  may be implemented as wearable personal data or data capture devices (e.g., data-capable devices) that are worn by a user around a wrist, ankle, arm, ear, or other appendage, or attached to the body or affixed to clothing. One or more facilities, sensing elements, or sensors, both active and passive, may be implemented as part of bands  104 - 112  in order to capture various types of data from different sources. Temperature, environmental, temporal, motion, electronic, electrical, chemical, or other types of sensors (including those described below in connection with  FIG. 3 ) may be used in order to gather varying amounts of data, which may be configurable by a user, locally (e.g., using user interface facilities such as buttons, switches, motion-activated/detected command structures (e.g., accelerometer-gathered data from user-initiated motion of bands  104 - 112 ), and others) or remotely (e.g., entering rules or parameters in a website or graphical user interface (“GUI”) that may be used to modify control systems or signals in firmware, circuitry, hardware, and software implemented (i.e., installed) on bands  104 - 112 ). Bands  104 - 112  may also be implemented as data-capable devices that are configured for data communication using various types of communications infrastructure and media, as described in greater detail below. Bands  104 - 112  may also be wearable, personal, non-intrusive, lightweight devices that are configured to gather large amounts of personally relevant data that can be used to improve user health, fitness levels, medical conditions, athletic performance, sleeping physiology, and physiological conditions, or used as a sensory-based user interface (“UI”) to signal social-related notifications specifying the state of the user through vibration, heat, lights or other sensory based notifications. For example, a social-related notification signal indicating a user is on-line can be transmitted to a recipient, who in turn, receives the notification as, for instance, a vibration. 
         [0030]    Using data gathered by bands  104 - 112 , applications may be used to perform various analyses and evaluations that can generate information as to a person&#39;s physical (e.g., healthy, sick, weakened, activity level, or other states), emotional, or mental state (e.g., an elevated body temperature or heart rate may indicate stress, a lowered heart rate and skin temperature, or reduced movement (e.g., excessive sleeping), may indicate physiological depression caused by exertion or other factors, chemical data gathered from evaluating out-gassing from the skin&#39;s surface may be analyzed to determine whether a person&#39;s diet is balanced or if various nutrients are lacking, salinity detectors may be evaluated to determine if high, lower, or proper blood sugar levels are present for diabetes management, and others). Generally, bands  104 - 112  may be configured to gather from sensors locally and remotely. 
         [0031]    As an example, band  104  may capture (i.e., record, store, communicate (i.e., send or receive), process, or the like) data from various sources (i.e., sensors that are organic (i.e., installed, integrated, or otherwise implemented with band  104 ) or distributed (e.g., microphones on mobile computing device  116 , mobile communications device  118 , computer  120 , laptop  122 , distributed sensor  124 , global positioning system (“GPS”) satellites, or others, without limitation)) and exchange data with one or more of bands  106 - 112 , server  114 , mobile computing device  116 , mobile communications device  118 , computer  120 , laptop  122 , and distributed sensor  124 . As shown here, a local sensor may be one that is incorporated, integrated, or otherwise implemented with bands  104 - 112 . A remote or distributed sensor (e.g., mobile computing device  116 , mobile communications device  118 , computer  120 , laptop  122 , or, generally, distributed sensor  124 ) may be sensors that can be accessed, controlled, or otherwise used by bands  104 -  112 . For example, band  112  may be configured to control devices that are also controlled by a given user (e.g., mobile computing device  116 , mobile communications device  118 , computer  120 , laptop  122 , and distributed sensor  124 ). For example, a microphone in mobile communications device  118  may be used to detect, for example, ambient audio data that is used to help identify a person&#39;s location, or an ear clip (e.g., a headset as described below) affixed to an ear may be used to record pulse or blood oxygen saturation levels. Additionally, a sensor implemented with a screen on mobile computing device  116  may be used to read a user&#39;s temperature or obtain a biometric signature while a user is interacting with data. A further example may include using data that is observed on computer  120  or laptop  122  that provides information as to a user&#39;s online behavior and the type of content that she is viewing, which may be used by bands  104 - 112 . Regardless of the type or location of sensor used, data may be transferred to bands  104 - 112  by using, for example, an analog audio jack, digital adapter (e.g., USB, mini-USB), or other, without limitation, plug, or other type of connector that may be used to physically couple bands  104 - 112  to another device or system for transferring data and, in some examples, to provide power to recharge a battery (not shown). Alternatively, a wireless data communication interface or facility (e.g., a wireless radio that is configured to communicate data from bands  104 - 112  using one or more data communication protocols (e.g., IEEE 802.11a/b/g/n (WiFi), WiMax, ANT™, ZigBee®, Bluetooth®, Near Field Communications (“NFC”), and others)) may be used to receive or transfer data. Further, bands  104 - 112  may be configured to analyze, evaluate, modify, or otherwise use data gathered, either directly or indirectly. 
         [0032]    In some examples, bands  104 - 112  may be configured to share data with each other or with an intermediary facility, such as a database, website, web service, or the like, which may be implemented by server  114 . In some embodiments, server  114  can be operated by a third party providing, for example, social media-related services. Bands  104 - 112  and other related devices may exchange data with each other directly, or bands  104 - 112  may exchange data via a third party server, such as a third party like Facebook®, to provide social-media related services. Examples of other third party servers include those implemented by social networking services, including, but not limited to, services such as Yahoo! IM™, GTalk™, MSN Messenger™, Twitter® and other private or public social networks. The exchanged data may include personal physiological data and data derived from sensory-based user interfaces (“UI”). Server  114 , in some examples, may be implemented using one or more processor-based computing devices or networks, including computing clouds, storage area networks (“SAN”), or the like. As shown, bands  104 - 112  may be used as a personal data or area network (e.g., “PDN” or “PAN”) in which data relevant to a given user or band (e.g., one or more of bands  104 - 112 ) may be shared. As shown here, bands  104  and  112  may be configured to exchange data with each other over network  102  or indirectly using server  114 . Users of bands  104  and  112  may direct a web browser hosted on a computer (e.g., computer  120 , laptop  122 , or the like) in order to access, view, modify, or perform other operations with data captured by bands  104  and  112 . For example, two runners using bands  104  and  112  may be geographically remote (e.g., users are not geographically in close proximity locally such that bands being used by each user are in direct data communication), but wish to share data regarding their race times (pre, post, or in-race), personal records (i.e., “PR”), target split times, results, performance characteristics (e.g., target heart rate, target VO 2  max, and others), and other information. If both runners (i.e., bands  104  and  112 ) are engaged in a race on the same day, data can be gathered for comparative analysis and other uses. 
         [0033]    Further, data can be shared in substantially real-time (taking into account any latencies incurred by data transfer rates, network topologies, or other data network factors) as well as uploaded after a given activity or event has been performed. In other words, data can be captured by the user as it is worn and configured to transfer data using, for example, a wireless network connection (e.g., a wireless network interface card, wireless local area network (“LAN”) card, cell phone, or the like. Data may also be shared in a temporally asynchronous manner in which a wired data connection (e.g., an analog audio plug (and associated software or firmware) configured to transfer digitally encoded data to encoded audio data that may be transferred between bands  104 - 112  and a plug configured to receive, encode/decode, and process data exchanged) may be used to transfer data from one or more bands  104 - 112  to various destinations (e.g., another of bands  104 - 112 , server  114 , mobile computing device  116 , mobile communications device  118 , computer  120 , laptop  122 , and distributed sensor  124 ). Bands  104 - 112  may be implemented with various types of wired and/or wireless communication facilities and are not intended to be limited to any specific technology. For example, data may be transferred from bands  104 - 112  using an analog audio plug (e.g., TRRS, TRS, or others). In other examples, wireless communication facilities using various types of data communication protocols (e.g., WiFi, Bluetooth®, ZigBee®, ANT™, and others) may be implemented as part of bands  104 - 112 , which may include circuitry, firmware, hardware, radios, antennas, processors, microprocessors, memories, or other electrical, electronic, mechanical, or physical elements configured to enable data communication capabilities of various types and characteristics. 
         [0034]    As data-capable devices, bands  104 - 112  may be configured to collect data from a wide range of sources, including onboard (not shown) and distributed sensors (e.g., server  114 , mobile computing device  116 , mobile communications device  118 , computer  120 , laptop  122 , and distributed sensor  124 ) or other bands. Some or all data captured may be personal, sensitive, or confidential and various techniques for providing secure storage and access may be implemented. For example, various types of security protocols and algorithms may be used to encode data stored or accessed by bands  104 - 112 . Examples of security protocols and algorithms include authentication, encryption, encoding, private and public key infrastructure, passwords, checksums, hash codes and hash functions (e.g., SHA, SHA-1, MD-5, and the like), or others may be used to prevent undesired access to data captured by bands  104 - 112 . In other examples, data security for bands  104 - 112  may be implemented differently. 
         [0035]    Bands  104 - 112  may be used as personal wearable, data capture devices that, when worn, are configured to identify a specific, individual user. By evaluating captured data such as motion data from an accelerometer, biometric data such as heart rate, skin galvanic response, and other biometric data, and using long-term analysis techniques (e.g., software packages or modules of any type, without limitation), a user may have a unique pattern of behavior or motion and/or biometric responses that can be used as a signature for identification. For example, bands  104 - 112  may gather data regarding an individual person&#39;s gait or other unique biometric, physiological or behavioral characteristics. Using, for example, distributed sensor  124 , a biometric signature (e.g., fingerprint, retinal or iris vascular pattern, or others) may be gathered and transmitted to bands  104 - 112  that, when combined with other data, determines that a given user has been properly identified and, as such, authenticated. When bands  104 - 112  are worn, a user may be identified and authenticated to enable a variety of other functions such as accessing or modifying data, enabling wired or wireless data transmission facilities (i.e., allowing the transfer of data from bands  104 - 112 ), modifying functionality or functions of bands  104 - 112 , authenticating financial transactions using stored data and information (e.g., credit card, PIN, card security numbers, and the like), running applications that allow for various operations to be performed (e.g., controlling physical security and access by transmitting a security code to a reader that, when authenticated, unlocks a door by turning off current to an electromagnetic lock, and others), and others. Different functions and operations beyond those described may be performed using bands  104 - 112 , which can act as secure, personal, wearable, data-capable devices. The number, type, function, configuration, specifications, structure, or other features of system  100  and the above-described elements may be varied and are not limited to the examples provided. 
         [0036]      FIG. 2  illustrates a block diagram of an exemplary data-capable band. Here, band  200  includes bus  202 , processor  204 , memory  206 , notification facility  208 , accelerometer  210 , sensor  212 , battery  214 , and communications facility  216 . In some examples, the quantity, type, function, structure, and configuration of band  200  and the elements (e.g., bus  202 , processor  204 , memory  206 , notification facility  208 , accelerometer  210 , sensor  212 , battery  214 , and communications facility  216 ) shown may be varied and are not limited to the examples provided. As shown, processor  204  may be implemented as logic to provide control functions and signals to memory  206 , notification facility  208 , accelerometer  210 , sensor  212 , battery  214 , and communications facility  216 . Processor  204  may be implemented using any type of processor or microprocessor suitable for packaging within bands  104 - 112  ( FIG. 1 ). Various types of microprocessors may be used to provide data processing capabilities for band  200  and are not limited to any specific type or capability. For example, a MSP430F5528-type microprocessor manufactured by Texas Instruments of Dallas, Texas may be configured for data communication using audio tones and enabling the use of an audio plug-and-jack system (e.g., TRRS, TRS, or others) for transferring data captured by band  200 . Further, different processors may be desired if other functionality (e.g., the type and number of sensors (e.g., sensor  212 )) are varied. Data processed by processor  204  may be stored using, for example, memory  206 . 
         [0037]    In some examples, memory  206  may be implemented using various types of data storage technologies and standards, including, without limitation, read-only memory (“ROM”), random access memory (“RAM”), dynamic random access memory (“DRAM”), static random access memory (“SRAM”), static/dynamic random access memory (“SDRAM”), magnetic random access memory (“MRAM”), solid state, two and three-dimensional memories, Flash®, and others. Memory  206  may also be implemented using one or more partitions that are configured for multiple types of data storage technologies to allow for non-modifiable (i.e., by a user) software to be installed (e.g., firmware installed on ROM) while also providing for storage of captured data and applications using, for example, RAM. Once captured and/or stored in memory  206 , data may be subjected to various operations performed by other elements of band  200 . 
         [0038]    Notification facility  208 , in some examples, may be implemented to provide vibratory energy, audio or visual signals, communicated through band  200 . As used herein, “facility” refers to any, some, or all of the features and structures that are used to implement a given set of functions. In some examples, the vibratory energy may be implemented using a motor or other mechanical structure. In some examples, the audio signal may be a tone or other audio cue, or it may be implemented using different sounds for different purposes. The audio signals may be emitted directly using notification facility  208 , or indirectly by transmission via communications facility  216  to other audio-capable devices (e.g., headphones (not shown), a headset (as described below with regard to  FIGS. 11-13 ), mobile computing device  115 , mobile communications device  118 , computer  120 , laptop  122 , distributed sensor  124 , etc.). In some examples, the visual signal may be implemented using any available display technology, such as lights, light-emitting diodes (LEDs), interferometric modulator display (IMOD), electrophoretic ink (E Ink), organic light-emitting diode (OLED), or other display technologies. As an example, an application stored on memory  206  may be configured to monitor a clock signal from processor  204  in order to provide timekeeping functions to band  200 . For example, if an alarm is set for a desired time, notification facility  208  may be used to provide a vibration or an audio tone, or a series of vibrations or audio tones, when the desired time occurs. As another example, notification facility  208  may be coupled to a framework (not shown) or other structure that is used to translate or communicate vibratory energy throughout the physical structure of band  200 . In other examples, notification facility  208  may be implemented differently. 
         [0039]    Power may be stored in battery  214 , which may be implemented as a battery, battery module, power management module, or the like. Power may also be gathered from local power sources such as solar panels, thermo-electric generators, and kinetic energy generators, among others that are alternatives power sources to external power for a battery. These additional sources can either power the system directly or can charge a battery, which, in turn, is used to power the system (e.g., of a band). In other words, battery  214  may include a rechargeable, expendable, replaceable, or other type of battery, but also circuitry, hardware, or software that may be used in connection with in lieu of processor  204  in order to provide power management, charge/recharging, sleep, or other functions. Further, battery  214  may be implemented using various types of battery technologies, including Lithium Ion (“LI”), Nickel Metal Hydride (“NiMH”), or others, without limitation. Power drawn as electrical current may be distributed from battery via bus  202 , the latter of which may be implemented as deposited or formed circuitry or using other forms of circuits or cabling, including flexible circuitry. Electrical current distributed from battery  204  and managed by processor  204  may be used by one or more of memory  206 , notification facility  208 , accelerometer  210 , sensor  212 , or communications facility  216 . 
         [0040]    As shown, various sensors may be used as input sources for data captured by band  200 . For example, accelerometer  210  may be used to gather data measured across one, two, or three axes of motion. In addition to accelerometer  210 , other sensors (i.e., sensor  212 ) may be implemented to provide temperature, environmental, physical, chemical, electrical, or other types of sensed inputs. As presented here, sensor  212  may include one or multiple sensors and is not intended to be limiting as to the quantity or type of sensor implemented. Data captured by band  200  using accelerometer  210  and sensor  212  or data requested from another source (i.e., outside of band  200 ) may also be exchanged, transferred, or otherwise communicated using communications facility  216 . For example, communications facility  216  may include a wireless radio, control circuit or logic, antenna, transceiver, receiver, transmitter, resistors, diodes, transistors, or other elements that are used to transmit and receive data from band  200 . In some examples, communications facility  216  may be implemented to provide a “wired” data communication capability such as an analog or digital attachment, plug, jack, or the like to allow for data to be transferred. In other examples, communications facility  216  may be implemented to provide a wireless data communication capability to transmit digitally encoded data across one or more frequencies using various types of data communication protocols, without limitation. In still other examples, band  200  and the above-described elements may be varied in function, structure, configuration, or implementation and are not limited to those shown and described. 
         [0041]      FIG. 3  illustrates sensors for use with an exemplary data-capable band. Sensor  212  may be implemented using various types of sensors, some of which are shown. Like-numbered and named elements may describe the same or substantially similar element as those shown in other descriptions. Here, sensor  212  ( FIG. 2 ) may be implemented as accelerometer  302 , altimeter/barometer  304 , light/infrared (“IR”) sensor  306 , pulse/heart rate (“HR”) monitor  308 , audio sensor (e.g., microphone, transducer, or others)  310 , pedometer  312 , velocimeter  314 , GPS receiver  316 , location-based service sensor (e.g., sensor for determining location within a cellular or micro-cellular network, which may or may not use GPS or other satellite constellations for fixing a position)  318 , motion detection sensor  320 , environmental sensor  322 , chemical sensor  324 , electrical sensor  326 , or mechanical sensor  328 . 
         [0042]    As shown, accelerometer  302  may be used to capture data associated with motion detection along 1, 2, or 3-axes of measurement, without limitation to any specific type of specification of sensor. Accelerometer  302  may also be implemented to measure various types of user motion and may be configured based on the type of sensor, firmware, software, hardware, or circuitry used. As another example, altimeter/barometer  304  may be used to measure environment pressure, atmospheric or otherwise, and is not limited to any specification or type of pressure-reading device. In some examples, altimeter/barometer  304  may be an altimeter, a barometer, or a combination thereof. For example, altimeter/barometer  304  may be implemented as an altimeter for measuring above ground level (“AGL”) pressure in band  200 , which has been configured for use by naval or military aviators. As another example, altimeter/barometer  304  may be implemented as a barometer for reading atmospheric pressure for marine-based applications. In other examples, altimeter/barometer  304  may be implemented differently. 
         [0043]    Other types of sensors that may be used to measure light or photonic conditions include light/IR sensor  306 , motion detection sensor  320 , and environmental sensor  322 , the latter of which may include any type of sensor for capturing data associated with environmental conditions beyond light. Further, motion detection sensor  320  may be configured to detect motion using a variety of techniques and technologies, including, but not limited to comparative or differential light analysis (e.g., comparing foreground and background lighting), sound monitoring, or others. Audio sensor  310  may be implemented using any type of device configured to record or capture sound. 
         [0044]    In some examples, pedometer  312  may be implemented using devices to measure various types of data associated with pedestrian-oriented activities such as running or walking Footstrikes, stride length, stride length or interval, time, and other data may be measured. Velocimeter  314  may be implemented, in some examples, to measure velocity (e.g., speed and directional vectors) without limitation to any particular activity. Further, additional sensors that may be used as sensor  212  include those configured to identify or obtain location-based data. For example, GPS receiver  316  may be used to obtain coordinates of the geographic location of band  200  using, for example, various types of signals transmitted by civilian and/or military satellite constellations in low, medium, or high earth orbit (e.g., “LEO,” “MEO,” or “GEO”). In other examples, differential GPS algorithms may also be implemented with GPS receiver  316 , which may be used to generate more precise or accurate coordinates. Still further, location-based services sensor  318  may be implemented to obtain location-based data including, but not limited to location, nearby services or items of interest, and the like. As an example, location-based services sensor  318  may be configured to detect an electronic signal, encoded or otherwise, that provides information regarding a physical locale as band  200  passes. The electronic signal may include, in some examples, encoded data regarding the location and information associated therewith. Electrical sensor  326  and mechanical sensor  328  may be configured to include other types (e.g., haptic, kinetic, piezoelectric, piezomechanical, pressure, touch, thermal, and others) of sensors for data input to band  200 , without limitation. Other types of sensors apart from those shown may also be used, including magnetic flux sensors such as solid-state compasses and the like, including gyroscopic sensors. While the present illustration provides numerous examples of types of sensors that may be used with band  200  ( FIG. 2 ), others not shown or described may be implemented with or as a substitute for any sensor shown or described. 
         [0045]      FIG. 4  illustrates an application architecture for an exemplary data-capable band. Here, application architecture  400  includes bus  402 , logic module  404 , communications module  406 , security module  408 , interface module  410 , data management  412 , audio module  414 , motor controller  416 , service management module  418 , sensor input evaluation module  420 , and power management module  422 . In some examples, application architecture  400  and the above-listed elements (e.g., bus  402 , logic module  404 , communications module  406 , security module  408 , interface module  410 , data management  412 , audio module  414 , motor controller  416 , service management module  418 , sensor input evaluation module  420 , and power management module  422 ) may be implemented as software using various computer programming and formatting languages such as Java, C++, C, and others. As shown here, logic module  404  may be firmware or application software that is installed in memory  206  ( FIG. 2 ) and executed by processor  204  ( FIG. 2 ). Included with logic module  404  may be program instructions or code (e.g., source, object, binary executables, or others) that, when initiated, called, or instantiated, perform various functions. 
         [0046]    For example, logic module  404  may be configured to send control signals to communications module  406  in order to transfer, transmit, or receive data stored in memory  206 , the latter of which may be managed by a database management system (“DBMS”) or utility in data management module  412 . As another example, security module  408  may be controlled by logic module  404  to provide encoding, decoding, encryption, authentication, or other functions to band  200  ( FIG. 2 ). Alternatively, security module  408  may also be implemented as an application that, using data captured from various sensors and stored in memory  206  (and accessed by data management module  412 ) may be used to provide identification functions that enable band  200  to passively identify a user or wearer of band  200 . Still further, various types of security software and applications may be used and are not limited to those shown and described. 
         [0047]    Interface module  410 , in some examples, may be used to manage user interface controls such as switches, buttons, or other types of controls that enable a user to manage various functions of band  200 . For example, a 4-position switch may be turned to a given position that is interpreted by interface module  410  to determine the proper signal or feedback to send to logic module  404  in order to generate a particular result. In other examples, a button (not shown) may be depressed that allows a user to trigger or initiate certain actions by sending another signal to logic module  404 . Still further, interface module  410  may be used to interpret data from, for example, accelerometer  210  ( FIG. 2 ) to identify specific movement or motion that initiates or triggers a given response. In other examples, interface module  410  may be implemented differently in function, structure, or configuration and is not limited to those shown and described. 
         [0048]    As shown, audio module  414  may be configured to manage encoded or unencoded data gathered from various types of audio sensors. In some examples, audio module  414  may include one or more codes that are used to encode or decode various types of audio waveforms. For example, analog audio input may be encoded by audio module  414  and, once encoded, sent as a signal or collection of data packets, messages, segments, frames, or the like to logic module  404  for transmission via communications module  406 . In other examples, audio module  414  may be implemented differently in function, structure, configuration, or implementation and is not limited to those shown and described. Other elements that may be used by band  200  include motor controller  416 , which may be firmware or an application to control a motor or other vibratory energy source (e.g., notification facility  208  ( FIG. 2 )). Power used for band  200  may be drawn from battery  214  ( FIG. 2 ) and managed by power management module  422 , which may be firmware or an application used to manage, with or without user input, how power is consumer, conserved, or otherwise used by band  200  and the above-described elements, including one or more sensors (e.g., sensor  212  ( FIG. 2 ), sensors  302 - 328  ( FIG. 3 )). With regard to data captured, sensor input evaluation module  420  may be a software engine or module that is used to evaluate and analyze data received from one or more inputs (e.g., sensors  302 - 328 ) to band  200 . When received, data may be analyzed by sensor input evaluation module  420 , which may include custom or “off-the-shelf” analytics packages that are configured to provide application-specific analysis of data to determine trends, patterns, and other useful information. In other examples, sensor input module  420  may also include firmware or software that enables the generation of various types and formats of reports for presenting data and any analysis performed thereupon. 
         [0049]    Another element of application architecture  400  that may be included is service management module  418 . In some examples, service management module  418  may be firmware, software, or an application that is configured to manage various aspects and operations associated with executing software-related instructions for band  200 . For example, libraries or classes that are used by software or applications on band  200  may be served from an online or networked source. Service management module  418  may be implemented to manage how and when these services are invoked in order to ensure that desired applications are executed properly within application architecture  400 . As discrete sets, collections, or groupings of functions, services used by band  200  for various purposes ranging from communications to operating systems to call or document libraries may be managed by service management module  418 . Alternatively, service management module  418  may be implemented differently and is not limited to the examples provided herein. Further, application architecture  400  is an example of a software/system/application-level architecture that may be used to implement various software-related aspects of band  200  and may be varied in the quantity, type, configuration, function, structure, or type of programming or formatting languages used, without limitation to any given example. 
         [0050]      FIG. 5A  illustrates representative data types for use with an exemplary data-capable band. Here, wearable device  502  may capture various types of data, including, but not limited to sensor data  504 , manually-entered data  506 , application data  508 , location data  510 , network data  512 , system/operating data  514 , and user data  516 . Various types of data may be captured from sensors, such as those described above in connection with  FIG. 3 . Manually-entered data, in some examples, may be data or inputs received directly and locally by band  200  ( FIG. 2 ). In other examples, manually-entered data may also be provided through a third-party website that stores the data in a database and may be synchronized from server  114  ( FIG. 1 ) with one or more of bands  104 - 112 . Other types of data that may be captured including application data  508  and system/operating data  514 , which may be associated with firmware, software, or hardware installed or implemented on band  200 . Further, location data  510  may be used by wearable device  502 , as described above. User data  516 , in some examples, may be data that include profile data, preferences, rules, or other information that has been previously entered by a given user of wearable device  502 . Further, network data  512  may be data is captured by wearable device with regard to routing tables, data paths, network or access availability (e.g., wireless network access availability), and the like. Other types of data may be captured by wearable device  502  and are not limited to the examples shown and described. Additional context-specific examples of types of data captured by bands  104 - 112  ( FIG. 1 ) are provided below. 
         [0051]      FIG. 5B  illustrates representative data types for use with an exemplary data-capable band in fitness-related activities. Here, band  519  may be configured to capture types (i.e., categories) of data such as heart rate/pulse monitoring data  520 , blood oxygen saturation data  522 , skin temperature data  524 , salinity/emission/outgassing data  526 , location/GPS data  528 , environmental data  530 , and accelerometer data  532 . As an example, a runner may use or wear band  519  to obtain data associated with his physiological condition (i.e., heart rate/pulse monitoring data  520 , skin temperature, salinity/emission/outgassing data  526 , among others), athletic efficiency (i.e., blood oxygen saturation data  522 ), and performance (i.e., location/GPS data  528  (e.g., distance or laps run), environmental data  530  (e.g., ambient temperature, humidity, pressure, and the like), accelerometer  532  (e.g., biomechanical information, including gait, stride, stride length, among others)). Other or different types of data may be captured by band  519 , but the above-described examples are illustrative of some types of data that may be captured by band  519 . Further, data captured may be uploaded to a website or online/networked destination for storage and other uses. For example, fitness-related data may be used by applications that are downloaded from a “fitness marketplace” where athletes may find, purchase, or download applications for various uses. Some applications may be activity-specific and thus may be used to modify or alter the data capture capabilities of band  519  accordingly. For example, a fitness marketplace may be a website accessible by various types of mobile and non-mobile clients to locate applications for different exercise or fitness categories such as running, swimming, tennis, golf, baseball, football, fencing, and many others. When downloaded, a fitness marketplace may also be used with user-specific accounts to manage the retrieved applications as well as usage with band  519 , or to use the data to provide services such as online personal coaching or targeted advertisements. More, fewer, or different types of data may be captured for fitness-related activities. 
         [0052]      FIG. 5C  illustrates representative data types for use with an exemplary data-capable band in sleep management activities. Here, band  539  may be used for sleep management purposes to track various types of data, including heart rate monitoring data  540 , motion sensor data  542 , accelerometer data  544 , skin resistivity data  546 , user input data  548 , clock data  550 , and audio data  552 . In some examples, heart rate monitor data  540  may be captured to evaluate rest, waking, or various states of sleep. Motion sensor data  542  and accelerometer data  544  may be used to determine whether a user of band  539  is experiencing a restful or fitful sleep. For example, some motion sensor data  542  may be captured by a light sensor that measures ambient or differential light patterns in order to determine whether a user is sleeping on her front, side, or back. Accelerometer data  544  may also be captured to determine whether a user is experiencing gentle or violent disruptions when sleeping, such as those often found in afflictions of sleep apnea or other sleep disorders. Further, skin resistivity data  546  may be captured to determine whether a user is ill (e.g., running a temperature, sweating, experiencing chills, clammy skin, and others). Still further, user input data may include data input by a user as to how and whether band  539  should trigger notification facility  208  ( FIG. 2 ) to wake a user at a given time or whether to use a series of increasing or decreasing vibrations or audio tones to trigger a waking state. Clock data ( 550 ) may be used to measure the duration of sleep or a finite period of time in which a user is at rest. Audio data may also be captured to determine whether a user is snoring and, if so, the frequencies and amplitude therein may suggest physical conditions that a user may be interested in knowing (e.g., snoring, breathing interruptions, talking in one&#39;s sleep, and the like). More, fewer, or different types of data may be captured for sleep management-related activities. 
         [0053]      FIG. 5D  illustrates representative data types for use with an exemplary data-capable band in medical-related activities. Here, band  539  may also be configured for medical purposes and related-types of data such as heart rate monitoring data  560 , respiratory monitoring data  562 , body temperature data  564 , blood sugar data  566  (i.e., blood glucose levels), chemical protein/analysis data  568 , patient medical records data  570 , and healthcare professional (e.g., doctor, physician, registered nurse, physician&#39;s assistant, dentist, orthopedist, surgeon, and others) data  572 . Band  539  may also be configured for use with other data types (not shown), including blood pressure, oxygen saturation and skin conductance response (SCR, also known as skin conductance level, psychogalvanic reflex, electrodermal response or galvanic skin response). In some examples, data may be captured by band  539  directly from wear by a user. For example, band  539  may be able to sample and analyze sweat through a salinity or moisture detector to identify whether any particular chemicals, proteins, hormones, or other organic or inorganic compounds are present, which can be analyzed by band  539  or communicated to server  114  to perform further analysis. If sent to server  114 , further analyses may be performed by a hospital or other medical facility using data captured by band  539 . In other examples, more, fewer, or different types of data may be captured for medical-related activities. 
         [0054]    Band  539  may be used to diagnose a wide range of medical conditions and diseases. For example, the types of sensor data described above may be useful for diagnosing or monitoring medical conditions and diseases such as sleep disorders, diabetes, heart attack, stroke, hyperthermia, hypothermia, shock, Parkinson&#39;s Disease or other disorders (e.g., disorders involving movement-related symptoms). In some examples, band  539  may be implemented with multiple temperature sensors (e.g., one to gather body temperature data  564  and another to gather ambient temperature (i.e., environmental data  530 )) in order to isolate changes to a user&#39;s body temperature, which may be useful for numerous medical reasons. For example, dramatic changes in body temperature may indicate various types of illnesses (e.g., cold, flu, etc.) or life-threatening events (e.g., heart attack, stroke, hyperthermia, hypothermia, shock, etc.). In another example, changes in a person&#39;s body temperature may be used to monitor a menstrual cycle and determine ovulation times (or failure to ovulate). In some examples, band  539  may be implemented to gather SCR data using two or more sensors. SCR data is known to measure arousal due to emotional intensity or cognitive effort. As such, SCR data may also be gathered to determine if a user is experiencing sympathetic stress, poor sleep quality or psychopathic tendencies. In another example, heart rate monitoring data  560 , respiratory monitoring data  562 , alone or along with other data types (e.g., motion sensor data  542 , accelerometer data  544 , etc.) may be gathered by band  539  to aid in determining when a baby stops breathing, if a baby has irregular breathing patterns when sleeping, or whether the baby is otherwise in danger of suffering from sudden infant death syndrome (SIDS). In other examples, band  539  may gather similar, or additional, data types to diagnose and monitor sleep disorders in adults. In other examples, various types of data gathered by band  539  may be useful in determining negative reactions to food, drink, or environmental influences (e.g., allergies, indigestion, intoxication, etc.). In yet other examples, band  539  may be implemented with different data types to diagnose or monitor other medical conditions and diseases. In some examples, the analysis of the above-described data types to diagnose and monitor medical conditions and diseases may be carried out using an application (i.e., software application), which may be stored in a memory (i.e., memory  206 ) and executed by a processor (i.e., processor  204 ). The application may be implemented using application architecture  400 , as described in more detail above (see  FIG. 4 ). 
         [0055]    In response to the diagnosis and monitoring of medical conditions and diseases described above, band  539  may be implemented to provide notifications to a user (i.e., using notification facility  208 ) for treatment or prevention purposes. In some examples, patient medical records data  570  and healthcare professional (e.g., doctor, physician, registered nurse, physician&#39;s assistant, dentist, orthopedist, surgeon, and others) data  572  may be used in conjunction with the sensor-gathered data types described above to determine types of notifications for treatment and prevention of medical conditions and diseases. This determination may be made by an application (i.e., software application), which may be stored in a memory (i.e., memory  206 ) and executed by a processor (i.e., processor  204 ). The application may be implemented using application architecture  400 , as described in more detail above (see  FIG. 4 ). Various types of signals may be used to indicate various treatments and preventative measures. For example, a diabetic user may be prompted using one signal to eat if their blood glucose level falls below a certain threshold. A diabetic user may also be prompted using another signal to take insulin or other medication. In another example, band  539  may gather data associated with symptoms of anaphylactic shock, or other types of allergic reactions (e.g., hay fever, hives, etc.), and in response, provide a signal (e.g., vibratory, audio or visual signal via notification facility  208 ) to prompt the user to use an epinephrine autoinjector (e.g., EpiPen™), to take a prescribed dose of medication (e.g., an antihistamine (e.g., Benadryl™), a corticosteroid (e.g. Prednisone™), or other drug), or to take other prescribed treatment actions. In another example, band  539  may gather data indicating irregular breathing patterns (e.g., no breaths, distressed breathing patterns, etc.) or other signs of distress or illness (e.g., SIDS warning signs) in a baby, and in response, provide a signal (e.g., vibratory, audio or visual signal via notification facility  208 ) to prompt the baby to move or wake. In some examples, a band  539  worn by a baby may communicate with another band (not shown) worn by a parent, guardian or other caretaker (collectively referred to herein as “parent”) that provides the parent with monitoring information or alerts (e.g., that the baby has stopped breathing, that the baby is awake, that the baby is experiencing distressed breathing, etc.). The monitoring information or alerts may be presented using any type of user interface, as described herein or may otherwise be implemented on the parent&#39;s band. The monitoring information or alerts may be communicated using a wired or wireless connection. In other examples, the monitoring information or alerts may be provided to the parent by any of the data and communications capable devices described herein. Similarly, band  539  may gather data indicating snoring, irregular breathing patterns, or other sleep disorder symptoms in an adult, and in response, provide a signal (e.g., vibratory, audio or visual signal via notification facility  208 ) to prompt the adult to move or wake. In yet other examples, band  539  may be implemented with different types of notification schemes to treat or prevent other medical conditions and diseases. 
         [0056]    As described in more detail below, band  539  may be implemented in communication with other bands and other devices. The data types described above may be gathered by multiple bands and devices to obtain a more comprehensive set of data for analysis by an application. In some examples, one band (e.g., band  539 ) may be worn by a non-human subject, such as an animal (e.g., a pet, a zoo animal, a trained animal, etc.) to gather various types of data, as described above, and notification may be provided to a person associated with the non-human subject (e.g., a pet owner, a zookeeper, an animal trainer, etc.) for the administration of various treatments or preventative measures. 
         [0057]      FIG. 6  illustrates a transition between modes of operation for a band in accordance with various embodiments. A band can transition between modes by either entering a mode at  602  or exiting a mode at  660 . The flow to enter a mode begins at  602  and flows downward, whereas the flow to exit the mode begins at  660  and flows upward. A mode can be entered and exited explicitly  603  or entered and exited implicitly  605 . In particular, a user can indicate explicitly whether to enter or exit a mode of operation by using inputs  620 . Examples of inputs  620  include a switch with one or more positions that are each associated with a selectable mode, and a display I/O  624  that can be touch-sensitive for entering commands explicitly to enter or exit a mode. Note that entry of a second mode of operation can extinguish implicitly the first mode of operation. Further, a user can explicitly indicate whether to enter or exit a mode of operation by using motion signatures  610 . That is, the motion of the band can facilitate transitions between modes of operation. A motion signature is a set of motions or patterns of motion that the band can detect using the logic of the band, whereby the logic can infer a mode from the motion signature. Examples of motion signatures are discussed below in  FIG. 11 . A set of motions can be predetermined, and then can be associated with a command to enter or exit a mode. Thus, motion can select a mode of operation. In some embodiments, modes of operation include a “normal” mode, an “active mode,” a “sleep mode” or “resting mode,” among other types of modes. A normal mode includes usual or normative amount of activities, whereas, an “active mode” typically includes relatively large amounts of activity. Active mode can include activities, such as running and swimming, for example. A “sleep mode” or “resting mode” typically includes a relatively low amount of activity that is indicative of sleeping or resting can be indicative of the user sleeping. 
         [0058]    A mode can be entered and exited implicitly  605 . In particular, a band and its logic can determine whether to enter or exit a mode of operation by inferring either an activity or a mode at  630 . An inferred mode of operation can be determined as a function of user characteristics  632 , such as determined by user-relevant sensors (e.g., heart rate, body temperature, etc.). An inferred mode of operation can be determined using motion matching  634  (e.g., motion is analyzed and a type of activity is determined). Further, an inferred mode of operation can be determined by examining environmental factors  636  (e.g., ambient temperature, time, ambient light, etc.). To illustrate, consider that: (1.) user characteristics  632  specify that the user&#39;s heart rate is at a resting rate and the body temperature falls (indicative of resting or sleeping), (2.) motion matching  634  determines that the user has a relatively low level of activity, and (3.) environment factors  636  indicate that the time is 3:00 am and the ambient light is negligible. In view of the foregoing, an inference engine or other logic of the band likely can infer that the user is sleeping and then operate to transition the band into sleep mode. In this mode, power may be reduced. Note that while a mode may transition either explicitly or implicitly, it need not exit the same way. 
         [0059]      FIG. 7A  illustrates a perspective view of an exemplary data-capable band configured to receive overmolding. Here, band  700  includes framework  702 , covering  704 , flexible circuit  706 , covering  708 , motor  710 , coverings  714 - 724 , plug  726 , accessory  728 , control housing  734 , control  736 , and flexible circuits  737 - 738 . In some examples, band  700  is shown with various elements (i.e., covering  704 , flexible circuit  706 , covering  708 , motor  710 , coverings  714 - 724 , plug  726 , accessory  728 , control housing  734 , control  736 , and flexible circuits  737 - 738 ) coupled to framework  702 . Coverings  708 ,  714 - 724  and control housing  734  may be configured to protect various types of elements, which may be electrical, electronic, mechanical, structural, or of another type, without limitation. For example, covering  708  may be used to protect a battery and power management module from protective material formed around band  700  during an injection molding operation. As another example, housing  704  may be used to protect a printed circuit board assembly (“PCBA”) from similar damage. Further, control housing  734  may be used to protect various types of user interfaces (e.g., switches, buttons (e.g., control  736 ), lights, light-emitting diodes, or other control features and functionality) from damage. In other examples, the elements shown may be varied in quantity, type, manufacturer, specification, function, structure, or other aspects in order to provide data capture, communication, analysis, usage, and other capabilities to band  700 , which may be worn by a user around a wrist, arm, leg, ankle, neck or other protrusion or aperture, without restriction. Band  700 , in some examples, illustrates an initial unlayered device that may be protected using the techniques for protective overmolding as described above. Alternatively, the number, type, function, configuration, ornamental appearance, or other aspects shown may be varied without limitation. 
         [0060]      FIG. 7B  illustrates a side view of an exemplary data-capable band. Here, band  740  includes framework  702 , covering  704 , flexible circuit  706 , covering  708 , motor  710 , battery  712 , coverings  714 - 724 , plug  726 , accessory  728 , button/switch/LED  730 - 732 , control housing  734 , control  736 , and flexible circuits  737 - 738  and is shown as a side view of band  700 . In other examples, the number, type, function, configuration, ornamental appearance, or other aspects shown may be varied without limitation. 
         [0061]      FIG. 8A  illustrates a perspective of an exemplary data-capable band having a first molding. Here, an alternative band (i.e., band  800 ) includes molding  802 , analog audio TRRS-type plug (hereafter “plug”)  804 , plug housing  806 , button  808 , framework  810 , control housing  812 , and indicator light  814 . In some examples, a first protective overmolding (i.e., molding  802 ) has been applied over band  700  ( FIG. 7 ) and the above-described elements (e.g., covering  704 , flexible circuit  706 , covering  708 , motor  710 , coverings  714 - 724 , plug  726 , accessory  728 , control housing  734 , control  736 , and flexible circuit  738 ) leaving some elements partially exposed (e.g., plug  804 , plug housing  806 , button  808 , framework  810 , control housing  812 , and indicator light  814 ). However, internal PCBAs, flexible connectors, circuitry, and other sensitive elements have been protectively covered with a first or inner molding that can be configured to further protect band  800  from subsequent moldings formed over band  800  using the above-described techniques. In other examples, the type, configuration, location, shape, design, layout, or other aspects of band  800  may be varied and are not limited to those shown and described. For example, TRRS plug  804  may be removed if a wireless communication facility is instead attached to framework  810 , thus having a transceiver, logic, and antenna instead being protected by molding  802 . As another example, button  808  may be removed and replaced by another control mechanism (e.g., an accelerometer that provides motion data to a processor that, using firmware and/or an application, can identify and resolve different types of motion that band  800  is undergoing), thus enabling molding  802  to be extended more fully, if not completely, over band  800 . In other examples, the number, type, function, configuration, ornamental appearance, or other aspects shown may be varied without limitation. 
         [0062]      FIG. 8B  illustrates a side view of an exemplary data-capable band. Here, band  820  includes molding  802 , plug  804 , plug housing  806 , button  808 , control housing  812 , and indicator lights  814  and  822 . In other examples, the number, type, function, configuration, ornamental appearance, or other aspects shown may be varied without limitation. 
         [0063]      FIG. 9A  illustrates a perspective view of an exemplary data-capable band having a second molding. Here, band  900  includes molding  902 , plug  904 , and button  906 . As shown another overmolding or protective material has been formed by injection molding, for example, molding  902  over band  900 . As another molding or covering layer, molding  902  may also be configured to receive surface designs, raised textures, or patterns, which may be used to add to the commercial appeal of band  900 . In some examples, band  900  may be illustrative of a finished data-capable band (i.e., band  700  ( FIG. 7 ),  800  ( FIG. 8 ) or  900 ) that may be configured to provide a wide range of electrical, electronic, mechanical, structural, photonic, or other capabilities. 
         [0064]    Here, band  900  may be configured to perform data communication with one or more other data-capable devices (e.g., other bands, computers, networked computers, clients, servers, peers, and the like) using wired or wireless features. For example, plug  900  may be used, in connection with firmware and software that allow for the transmission of audio tones to send or receive encoded data, which may be performed using a variety of encoded waveforms and protocols, without limitation. In other examples, plug  904  may be removed and instead replaced with a wireless communication facility that is protected by molding  902 . If using a wireless communication facility and protocol, band  900  may communicate with other data-capable devices such as cell phones, smart phones, computers (e.g., desktop, laptop, notebook, tablet, and the like), computing networks and clouds, and other types of data-capable devices, without limitation. In still other examples, band  900  and the elements described above in connection with  FIGS. 1-9 , may be varied in type, configuration, function, structure, or other aspects, without limitation to any of the examples shown and described. 
         [0065]      FIG. 9B  illustrates a side view of an exemplary data-capable band. Here, band  910  includes molding  902 , plug  904 , and button  906 . In other examples, the number, type, function, configuration, ornamental appearance, or other aspects shown may be varied without limitation. 
         [0066]      FIG. 10  illustrates an exemplary computer system suitable for use with a data-capable band. In some examples, computer system  1000  may be used to implement computer programs, applications, methods, processes, or other software to perform the above-described techniques. Computer system  1000  includes a bus  1002  or other communication mechanism for communicating information, which interconnects subsystems and devices, such as processor  1004 , system memory  1006  (e.g., RAM), storage device  1008  (e.g., ROM), disk drive  1010  (e.g., magnetic or optical), communication interface  1012  (e.g., modem or Ethernet card), display  1014  (e.g., CRT or LCD), input device  1016  (e.g., keyboard), and cursor control  1018  (e.g., mouse or trackball). 
         [0067]    According to some examples, computer system  1000  performs specific operations by processor  1004  executing one or more sequences of one or more instructions stored in system memory  1006 . Such instructions may be read into system memory  1006  from another computer readable medium, such as static storage device  1008  or disk drive  1010 . In some examples, hard-wired circuitry may be used in place of or in combination with software instructions for implementation. 
         [0068]    The term “computer readable medium” refers to any tangible medium that participates in providing instructions to processor  1004  for execution. Such a medium may take many forms, including but not limited to, non-volatile media and volatile media. Non-volatile media includes, for example, optical or magnetic disks, such as disk drive  1010 . Volatile media includes dynamic memory, such as system memory  1006 . 
         [0069]    Common forms of computer readable media includes, for example, floppy disk, flexible disk, hard disk, magnetic tape, any other magnetic medium, CD-ROM, any other optical medium, punch cards, paper tape, any other physical medium with patterns of holes, RAM, PROM, EPROM, FLASH-EPROM, any other memory chip or cartridge, or any other medium from which a computer can read. 
         [0070]    Instructions may further be transmitted or received using a transmission medium. The term “transmission medium” may include any tangible or intangible medium that is capable of storing, encoding or carrying instructions for execution by the machine, and includes digital or analog communications signals or other intangible medium to facilitate communication of such instructions. Transmission media includes coaxial cables, copper wire, and fiber optics, including wires that comprise bus  1002  for transmitting a computer data signal. 
         [0071]    In some examples, execution of the sequences of instructions may be performed by a single computer system  1000 . According to some examples, two or more computer systems  1000  coupled by communication link  1020  (e.g., LAN, PSTN, or wireless network) may perform the sequence of instructions in coordination with one another. Computer system  1000  may transmit and receive messages, data, and instructions, including program, i.e., application code, through communication link  1020  and communication interface  1012 . Received program code may be executed by processor  1004  as it is received, and/or stored in disk drive  1010 , or other non-volatile storage for later execution. 
         [0072]      FIG. 11  depicts a representative implementation of one or more bands and equivalent devices, as wearable devices, to form unique motion profiles, according to various embodiments. In diagram  1100 , bands and an equivalent device are disposed on locomotive members of the user, whereby the locomotive members facilitate motion relative to and about a center point  1130  (e.g., a reference point for a position, such as a center of mass). A headset  1110  is configured to communicate with bands  1111 ,  1112 ,  1113  and  1114  and is disposed on a body portion  1102  (e.g., the head), which is subject to motion relative to center point  1130 . Bands  1111  and  1112  are disposed on locomotive portions  1104  of the user (e.g., the arms or wrists), whereas bands  1113  and  1114  are disposed on locomotive portion  1106  of the user (e.g., the legs or ankles). As shown, headset  1110  is disposed at distance  1120  from center point  1130 , bands  1111  and  1112  are disposed at distance  1122  from center point  1130 , and bands  1113  and  1114  are disposed at distance  1124  from center point  1130 . A great number of users have different values of distances  1120 ,  1122 , and  1124 . Further, different wrist-to-elbow and elbow-to-shoulder lengths for different users affect the relative motion of bands  1111  and  1112  about center point  1130 , and similarly, different hip-to-knee and knee-to-ankle lengths for different users affect the relative motion of bands  1113  and  1114  about center point  1130 . Moreover, a great number of users have unique gaits and styles of motion. The above-described factors, as well as other factors, facilitate the determination of a unique motion profile for a user per activity (or in combination of a number of activities). The uniqueness of the motion patterns in which a user performs an activity enables the use of motion profile data to provide a “motion fingerprint.” A “motion fingerprint” is unique to a user and can be compared against detected motion profiles to determine, for example, whether a use of the band by a subsequent wearer is unauthorized. In some cases, unauthorized users do not typically share common motion profiles. Note that while four are shown, fewer than four can be used to establish a “motion fingerprint,” or more can be shown (e.g., a band can be disposed in a pocket or otherwise carried by the user). For example, a user can place a single band at different portions of the body to capture motion patterns for those body parts in a serial fashion. Then, each of the motions patterns can be combined to form a “motion fingerprint.” In some cases, a single band  1111  is sufficient to establish a “motion fingerprint.” In other examples, one or more of bands  1111 ,  1112 ,  1113  and  1114  can be configured to operate with multiple users, including non-human users, such as pets or other animals. 
         [0073]      FIGS. 12-13  are diagrams representing examples of networks formed using one or more bands, according to some embodiments. Diagram  1200  of  FIG. 12  depicts a personal, wearable network including a number of bands  1211 ,  1212 ,  1213 , and  1214  (more or less) disposed on locomotive bodily members of a user or an entity (e.g., a human, an animal, such as a pet, etc.), according to one example. In some embodiments, bands  1211 ,  1212 ,  1213 , and  1214  can communicate with each other via, for example, Bluetooth® to form a peer-to-peer network. Further, a wearable communication device  1210  configured for aural communication, such as a headset, can communicate with bands  1211 ,  1212 ,  1213 , and  1214 , and can serve as a router to route data among bands  1211 ,  1212 ,  1213 , and  1214 , and with a mobile communications device  1216  (e.g., a mobile phone). As shown, wearable communication device  1210  forms communication links  1217  with one or more bands  1211 ,  1212 ,  1213 , and  1214 . Any of bands  1211 ,  1212 ,  1213 , and  1214  can communicate on communication link  1219  via networks  1220  to a remote band  1230 . Or, bands  1211 ,  1212 ,  1213 , and  1214  can communicate via communication links  1218  and networks  1220  to a remote band  1230 . Note that in some embodiments, bands  1211 ,  1212 ,  1213 , and  1214  form a secured personal, wearable network based on security keys that consider, for example, motion (e.g., all bands  1211 ,  1212 ,  1213 , and  1214  are moving in the same direction and can be indicative of a single person using bands  1211 ,  1212 ,  1213 , and  1214 ). 
         [0074]    Diagram  1300  of  FIG. 13  depicts a number of bands that form a local network between the bands, according to one example. A band  1312  is associated with a user  1301 . Bands  1312  can communicate via communication links  1317  and  1318  to communication device  1316 , and, in turn, to one or more network  1320 . Note that group  1302  of users  1301  may be engaging in a common event, such as a yoga class or a marathon. Given this common activity, and some other optional activity or information, a secured (or unsecured) local network can be established, for example, without explicit request by users  1301 . Rather, the common activity and general permissions can facilitate establishment of an ad hoc network among band  1312 , which, for example, can cease to operate as network once users cease to participate in the common activity. 
         [0075]    In at least some examples, the structures and/or functions of any of the above-described features can be implemented in software, hardware, firmware, circuitry, or a combination thereof. Note that the structures and constituent elements above, as well as their functionality, may be aggregated with one or more other structures or elements. Alternatively, the elements and their functionality may be subdivided into constituent sub-elements, if any. As software, the above-described techniques may be implemented using various types of programming or formatting languages, frameworks, syntax, applications, protocols, objects, or techniques. As hardware and/or firmware, the above-described techniques may be implemented using various types of programming or integrated circuit design languages, including hardware description languages, such as any register transfer language (“RTL”) configured to design field-programmable gate arrays (“FPGAs”), application-specific integrated circuits (“ASICs”), or any other type of integrated circuit. These can be varied and are not limited to the examples or descriptions provided. 
         [0076]    Although the foregoing examples have been described in some detail for purposes of clarity of understanding, the above-described inventive techniques are not limited to the details provided. There are many alternative ways of implementing the above-described invention techniques. The disclosed examples are illustrative and not restrictive.