US20140243637A1 - Data-capable band for medical diagnosis, monitoring, and treatment - Google Patents

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 diet.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS
• 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
• 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
• 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.
• 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.
• 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.
• Thus, what is needed is a solution for data capture devices without the limitations of conventional techniques.
BRIEF DESCRIPTION OF THE DRAWINGS
• Various embodiments or examples (“examples”) are disclosed in the following detailed description and the accompanying drawings:
• FIG. 1 illustrates an exemplary data-capable band system;
• FIG. 2 illustrates a block diagram of an exemplary data-capable band;
• FIG. 3 illustrates sensors for use with an exemplary data-capable band;
• FIG. 4 illustrates an application architecture for an exemplary data-capable band;
• FIG. 5A illustrates representative data types for use with an exemplary data-capable band;
• FIG. 5B illustrates representative data types for use with an exemplary data-capable band in fitness-related activities;
• FIG. 5C illustrates representative data types for use with an exemplary data-capable band in sleep management activities;
• FIG. 5D illustrates representative data types for use with an exemplary data-capable band in medical-related activities;
• FIG. 6 illustrates a transition between modes of operation of a band in accordance with various embodiments;
• FIG. 7A illustrates a perspective view of an exemplary data-capable band;
• FIG. 7B illustrates a side view of an exemplary data-capable band;
• FIG. 8A illustrates a perspective view of an exemplary data-capable band;
• FIG. 8B illustrates a side view of an exemplary data-capable band;
• FIG. 9A illustrates a perspective view of an exemplary data-capable band;
• FIG. 9B illustrates a side view of an exemplary data-capable band;
• FIG. 10 illustrates an exemplary computer system suitable for use with a data-capable band;
• 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
• FIGS. 12 and 13 are diagrams representing examples of networks formed using one or more bands, according to some embodiments.
DETAILED DESCRIPTION
• 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.
• 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.
• FIG. 1 illustrates an exemplary data-capable band system. Here,system100 includesnetwork102, bands104-112,server114,mobile computing device116,mobile communications device118,computer120,laptop122, and distributedsensor124. Bands104-112 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, bands104-112 may be attached directly or indirectly to other items, organic or inorganic, animate, or static. In still other examples, bands104-112 may be used differently.
• As described above, bands104-112 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 bands104-112 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 withFIG. 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 bands104-112), 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 bands104-112). Bands104-112 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. Bands104-112 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.
• Using data gathered by bands104-112, applications may be used to perform various analyses and evaluations that can generate information as to a person'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's surface may be analyzed to determine whether a person'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, bands104-112 may be configured to gather from sensors locally and remotely.
• As an example,band104 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 band104) or distributed (e.g., microphones onmobile computing device116,mobile communications device118,computer120,laptop122, distributedsensor124, global positioning system (“GPS”) satellites, or others, without limitation)) and exchange data with one or more of bands106-112,server114,mobile computing device116,mobile communications device118,computer120,laptop122, and distributedsensor124. As shown here, a local sensor may be one that is incorporated, integrated, or otherwise implemented with bands104-112. A remote or distributed sensor (e.g.,mobile computing device116,mobile communications device118,computer120,laptop122, or, generally, distributed sensor124) may be sensors that can be accessed, controlled, or otherwise used by bands104-112. For example,band112 may be configured to control devices that are also controlled by a given user (e.g.,mobile computing device116,mobile communications device118,computer120,laptop122, and distributed sensor124). For example, a microphone inmobile communications device118 may be used to detect, for example, ambient audio data that is used to help identify a person'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 onmobile computing device116 may be used to read a user's temperature or obtain a biometric signature while a user is interacting with data. A further example may include using data that is observed oncomputer120 orlaptop122 that provides information as to a user's online behavior and the type of content that she is viewing, which may be used by bands104-112. Regardless of the type or location of sensor used, data may be transferred to bands104-112 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 bands104-112 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 bands104-112 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, bands104-112 may be configured to analyze, evaluate, modify, or otherwise use data gathered, either directly or indirectly.
• In some examples, bands104-112 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 byserver114. In some embodiments,server114 can be operated by a third party providing, for example, social media-related services. Bands104-112 and other related devices may exchange data with each other directly, or bands104-112 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”).Server114, 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, bands104-112 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 bands104-112) may be shared. As shown here,bands104 and112 may be configured to exchange data with each other overnetwork102 or indirectly usingserver114. Users ofbands104 and112 may direct a web browser hosted on a computer (e.g.,computer120,laptop122, or the like) in order to access, view, modify, or perform other operations with data captured bybands104 and112. For example, tworunners using bands104 and112 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 VO₂max, and others), and other information. If both runners (i.e.,bands104 and112) are engaged in a race on the same day, data can be gathered for comparative analysis and other uses. 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 bands104-112 and a plug configured to receive, encode/decode, and process data exchanged) may be used to transfer data from one or more bands104-112 to various destinations (e.g., another of bands104-112,server114,mobile computing device116,mobile communications device118,computer120,laptop122, and distributed sensor124). Bands104-112 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 bands104-112 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 bands104-112, 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.
• As data-capable devices, bands104-112 may be configured to collect data from a wide range of sources, including onboard (not shown) and distributed sensors (e.g.,server114,mobile computing device116,mobile communications device118,computer120,laptop122, and distributed sensor124) 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 bands104-112. 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 bands104-112. In other examples, data security for bands104-112 may be implemented differently.
• Bands104-112 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, bands104-112 may gather data regarding an individual person's gait or other unique biometric, physiological or behavioral characteristics. Using, for example, distributedsensor124, a biometric signature (e.g., fingerprint, retinal or iris vascular pattern, or others) may be gathered and transmitted to bands104-112 that, when combined with other data, determines that a given user has been properly identified and, as such, authenticated. When bands104-112 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 bands104-112), modifying functionality or functions of bands104-112, 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 bands104-112, which can act as secure, personal, wearable, data-capable devices. The number, type, function, configuration, specifications, structure, or other features ofsystem100 and the above-described elements may be varied and are not limited to the examples provided.
• FIG. 2 illustrates a block diagram of an exemplary data-capable band. Here,band200 includesbus202,processor204,memory206,notification facility208,accelerometer210,sensor212,battery214, and communications facility216. In some examples, the quantity, type, function, structure, and configuration ofband200 and the elements (e.g.,bus202,processor204,memory206,notification facility208,accelerometer210,sensor212,battery214, and communications facility216) shown may be varied and are not limited to the examples provided. As shown,processor204 may be implemented as logic to provide control functions and signals tomemory206,notification facility208,accelerometer210,sensor212,battery214, and communications facility216.Processor204 may be implemented using any type of processor or microprocessor suitable for packaging within bands104-112 (FIG. 1). Various types of microprocessors may be used to provide data processing capabilities forband200 and are not limited to any specific type or capability. For example, a MSP430F5528-type microprocessor manufactured by Texas Instruments of Dallas, Tex. 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 byband200. Further, different processors may be desired if other functionality (e.g., the type and number of sensors (e.g., sensor212)) are varied. Data processed byprocessor204 may be stored using, for example,memory206.
• In some examples,memory206 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.Memory206 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 inmemory206, data may be subjected to various operations performed by other elements ofband200.
• Notification facility208, in some examples, may be implemented to provide vibratory energy, audio or visual signals, communicated throughband200. 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 usingnotification facility208, or indirectly by transmission via communications facility216 to other audio-capable devices (e.g., headphones (not shown), a headset (as described below with regard toFIGS. 11-13), mobile computing device115,mobile communications device118,computer120,laptop122, distributedsensor124, 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 onmemory206 may be configured to monitor a clock signal fromprocessor204 in order to provide timekeeping functions to band200. For example, if an alarm is set for a desired time,notification facility208 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 facility208 may be coupled to a framework (not shown) or other structure that is used to translate or communicate vibratory energy throughout the physical structure ofband200. In other examples,notification facility208 may be implemented differently.
• Power may be stored inbattery214, 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,battery214 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 ofprocessor204 in order to provide power management, charge/recharging, sleep, or other functions. Further,battery214 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 viabus202, 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 frombattery204 and managed byprocessor204 may be used by one or more ofmemory206,notification facility208,accelerometer210,sensor212, or communications facility216.
• As shown, various sensors may be used as input sources for data captured byband200. For example,accelerometer210 may be used to gather data measured across one, two, or three axes of motion. In addition toaccelerometer210, other sensors (i.e., sensor212) may be implemented to provide temperature, environmental, physical, chemical, electrical, or other types of sensed inputs. As presented here,sensor212 may include one or multiple sensors and is not intended to be limiting as to the quantity or type of sensor implemented. Data captured byband200 usingaccelerometer210 andsensor212 or data requested from another source (i.e., outside of band200) may also be exchanged, transferred, or otherwise communicated using communications facility216. For example, communications facility216 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 fromband200. In some examples, communications facility216 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 facility216 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,band200 and the above-described elements may be varied in function, structure, configuration, or implementation and are not limited to those shown and described.
• FIG. 3 illustrates sensors for use with an exemplary data-capable band.Sensor212 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, sensor212 (FIG. 2) may be implemented asaccelerometer302, altimeter/barometer304, light/infrared (“IR”)sensor306, pulse/heart rate (“HR”)monitor308, audio sensor (e.g., microphone, transducer, or others)310,pedometer312,velocimeter314,GPS receiver316, 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 sensor320, environmental sensor322,chemical sensor324, electrical sensor326, ormechanical sensor328.
• As shown,accelerometer302 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.Accelerometer302 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/barometer304 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/barometer304 may be an altimeter, a barometer, or a combination thereof. For example, altimeter/barometer304 may be implemented as an altimeter for measuring above ground level (“AGL”) pressure inband200, which has been configured for use by naval or military aviators. As another example, altimeter/barometer304 may be implemented as a barometer for reading atmospheric pressure for marine-based applications. In other examples, altimeter/barometer304 may be implemented differently.
• Other types of sensors that may be used to measure light or photonic conditions include light/IR sensor306,motion detection sensor320, and environmental sensor322, the latter of which may include any type of sensor for capturing data associated with environmental conditions beyond light. Further,motion detection sensor320 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 sensor310 may be implemented using any type of device configured to record or capture sound.
• In some examples,pedometer312 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.Velocimeter314 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 assensor212 include those configured to identify or obtain location-based data. For example,GPS receiver316 may be used to obtain coordinates of the geographic location ofband200 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 withGPS receiver316, which may be used to generate more precise or accurate coordinates. Still further, location-basedservices sensor318 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-basedservices sensor318 may be configured to detect an electronic signal, encoded or otherwise, that provides information regarding a physical locale asband200 passes. The electronic signal may include, in some examples, encoded data regarding the location and information associated therewith. Electrical sensor326 andmechanical sensor328 may be configured to include other types (e.g., haptic, kinetic, piezoelectric, piezomechanical, pressure, touch, thermal, and others) of sensors for data input toband200, 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 band200 (FIG. 2), others not shown or described may be implemented with or as a substitute for any sensor shown or described.
• FIG. 4 illustrates an application architecture for an exemplary data-capable band. Here,application architecture400 includesbus402, logic module404, communications module406,security module408, interface module410,data management412,audio module414,motor controller416,service management module418, sensorinput evaluation module420, andpower management module422. In some examples,application architecture400 and the above-listed elements (e.g.,bus402, logic module404, communications module406,security module408, interface module410,data management412,audio module414,motor controller416,service management module418, sensorinput evaluation module420, and power management module422) may be implemented as software using various computer programming and formatting languages such as Java, C++, C, and others. As shown here, logic module404 may be firmware or application software that is installed in memory206 (FIG. 2) and executed by processor204 (FIG. 2). Included with logic module404 may be program instructions or code (e.g., source, object, binary executables, or others) that, when initiated, called, or instantiated, perform various functions.
• For example, logic module404 may be configured to send control signals to communications module406 in order to transfer, transmit, or receive data stored inmemory206, the latter of which may be managed by a database management system (“DBMS”) or utility indata management module412. As another example,security module408 may be controlled by logic module404 to provide encoding, decoding, encryption, authentication, or other functions to band200 (FIG. 2). Alternatively,security module408 may also be implemented as an application that, using data captured from various sensors and stored in memory206 (and accessed by data management module412) may be used to provide identification functions that enableband200 to passively identify a user or wearer ofband200. Still further, various types of security software and applications may be used and are not limited to those shown and described.
• Interface module410, 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 ofband200. For example, a 4-position switch may be turned to a given position that is interpreted by interface module410 to determine the proper signal or feedback to send to logic module404 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 module404. Still further, interface module410 may be used to interpret data from, for example, accelerometer210 (FIG. 2) to identify specific movement or motion that initiates or triggers a given response. In other examples, interface module410 may be implemented differently in function, structure, or configuration and is not limited to those shown and described.
• As shown,audio module414 may be configured to manage encoded or unencoded data gathered from various types of audio sensors. In some examples,audio module414 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 byaudio module414 and, once encoded, sent as a signal or collection of data packets, messages, segments, frames, or the like to logic module404 for transmission via communications module406. In other examples,audio module414 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 byband200 includemotor controller416, which may be firmware or an application to control a motor or other vibratory energy source (e.g., notification facility208 (FIG. 2)). Power used forband200 may be drawn from battery214 (FIG. 2) and managed bypower management module422, which may be firmware or an application used to manage, with or without user input, how power is consumer, conserved, or otherwise used byband200 and the above-described elements, including one or more sensors (e.g., sensor212 (FIG. 2), sensors302-328 (FIG. 3)). With regard to data captured, sensorinput evaluation module420 may be a software engine or module that is used to evaluate and analyze data received from one or more inputs (e.g., sensors302-328) toband200. When received, data may be analyzed by sensorinput evaluation module420, 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 module420 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.
• Another element ofapplication architecture400 that may be included isservice management module418. In some examples,service management module418 may be firmware, software, or an application that is configured to manage various aspects and operations associated with executing software-related instructions forband200. For example, libraries or classes that are used by software or applications onband200 may be served from an online or networked source.Service management module418 may be implemented to manage how and when these services are invoked in order to ensure that desired applications are executed properly withinapplication architecture400. As discrete sets, collections, or groupings of functions, services used byband200 for various purposes ranging from communications to operating systems to call or document libraries may be managed byservice management module418. Alternatively,service management module418 may be implemented differently and is not limited to the examples provided herein. Further,application architecture400 is an example of a software/system/application-level architecture that may be used to implement various software-related aspects ofband200 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.
• FIG. 5A illustrates representative data types for use with an exemplary data-capable band. Here,wearable device502 may capture various types of data, including, but not limited tosensor data504, manually-entereddata506,application data508,location data510,network data512, system/operating data514, anduser data516. Various types of data may be captured from sensors, such as those described above in connection withFIG. 3. Manually-entered data, in some examples, may be data or inputs received directly and locally by band200 (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 server114 (FIG. 1) with one or more of bands104-112. Other types of data that may be captured includingapplication data508 and system/operating data514, which may be associated with firmware, software, or hardware installed or implemented onband200. Further,location data510 may be used bywearable device502, as described above.User data516, in some examples, may be data that include profile data, preferences, rules, or other information that has been previously entered by a given user ofwearable device502. Further,network data512 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 bywearable device502 and are not limited to the examples shown and described. Additional context-specific examples of types of data captured by bands104-112 (FIG. 1) are provided below.
• FIG. 5B illustrates representative data types for use with an exemplary data-capable band in fitness-related activities. Here,band519 may be configured to capture types (i.e., categories) of data such as heart rate/pulse monitoring data520, bloodoxygen saturation data522,skin temperature data524, salinity/emission/outgassing data526, location/GPS data528,environmental data530, andaccelerometer data532. As an example, a runner may use or wearband519 to obtain data associated with his physiological condition (i.e., heart rate/pulse monitoring data520, skin temperature, salinity/emission/outgassing data526, among others), athletic efficiency (i.e., blood oxygen saturation data522), and performance (i.e., location/GPS data528 (e.g., distance or laps run), environmental data530 (e.g., ambient temperature, humidity, pressure, and the like), accelerometer532 (e.g., biomechanical information, including gait, stride, stride length, among others)). Other or different types of data may be captured byband519, but the above-described examples are illustrative of some types of data that may be captured byband519. 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 ofband519 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 withband519, 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.
• FIG. 5C illustrates representative data types for use with an exemplary data-capable band in sleep management activities. Here,band539 may be used for sleep management purposes to track various types of data, including heartrate monitoring data540,motion sensor data542,accelerometer data544,skin resistivity data546, user input data548,clock data550, andaudio data552. In some examples, heartrate monitor data540 may be captured to evaluate rest, waking, or various states of sleep.Motion sensor data542 andaccelerometer data544 may be used to determine whether a user ofband539 is experiencing a restful or fitful sleep. For example, somemotion sensor data542 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 data544 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 data546 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 whetherband539 should trigger notification facility208 (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's sleep, and the like). More, fewer, or different types of data may be captured for sleep management-related activities.
• FIG. 5D illustrates representative data types for use with an exemplary data-capable band in medical-related activities. Here,band539 may also be configured for medical purposes and related-types of data such as heartrate monitoring data560,respiratory monitoring data562,body temperature data564, blood sugar data566 (i.e., blood glucose levels), chemical protein/analysis data568, patientmedical records data570, and healthcare professional (e.g., doctor, physician, registered nurse, physician's assistant, dentist, orthopedist, surgeon, and others)data572. Band539 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 byband539 directly from wear by a user. For example,band539 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 byband539 or communicated toserver114 to perform further analysis. If sent toserver114, further analyses may be performed by a hospital or other medical facility using data captured byband539. In other examples, more, fewer, or different types of data may be captured for medical-related activities.
• Band539 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's Disease or other disorders (e.g., disorders involving movement-related symptoms). In some examples,band539 may be implemented with multiple temperature sensors (e.g., one to gatherbody temperature data564 and another to gather ambient temperature (i.e., environmental data530)) in order to isolate changes to a user'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's body temperature may be used to monitor a menstrual cycle and determine ovulation times (or failure to ovulate). In some examples,band539 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, heartrate monitoring data560,respiratory monitoring data562, alone or along with other data types (e.g.,motion sensor data542,accelerometer data544, etc.) may be gathered byband539 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,band539 may gather similar, or additional, data types to diagnose and monitor sleep disorders in adults. In other examples, various types of data gathered byband539 may be useful in determining negative reactions to food, drink, or environmental influences (e.g., allergies, indigestion, intoxication, etc.). In yet other examples,band539 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., memory206) and executed by a processor (i.e., processor204). The application may be implemented usingapplication architecture400, as described in more detail above (seeFIG. 4).
• In response to the diagnosis and monitoring of medical conditions and diseases described above,band539 may be implemented to provide notifications to a user (i.e., using notification facility208) for treatment or prevention purposes. In some examples, patientmedical records data570 and healthcare professional (e.g., doctor, physician, registered nurse, physician's assistant, dentist, orthopedist, surgeon, and others)data572 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., memory206) and executed by a processor (i.e., processor204). The application may be implemented usingapplication architecture400, as described in more detail above (seeFIG. 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,band539 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 facility208) 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,band539 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 facility208) to prompt the baby to move or wake. In some examples, aband539 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'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,band539 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 facility208) to prompt the adult to move or wake. In yet other examples,band539 may be implemented with different types of notification schemes to treat or prevent other medical conditions and diseases.
• As described in more detail below,band539 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., band539) 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.
• 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 at602 or exiting a mode at660. The flow to enter a mode begins at602 and flows downward, whereas the flow to exit the mode begins at660 and flows upward. A mode can be entered and exited explicitly603 or entered and exited implicitly605. In particular, a user can indicate explicitly whether to enter or exit a mode of operation by usinginputs620. Examples ofinputs620 include a switch with one or more positions that are each associated with a selectable mode, and a display I/O624 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 usingmotion signatures610. 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 inFIG. 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.
• A mode can be entered and exited implicitly605. 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 at630. An inferred mode of operation can be determined as a function of user characteristics632, such as determined by user-relevant sensors (e.g., heart rate, body temperature, etc.). An inferred mode of operation can be determined using motion matching634 (e.g., motion is analyzed and a type of activity is determined). Further, an inferred mode of operation can be determined by examining environmental factors636 (e.g., ambient temperature, time, ambient light, etc.). To illustrate, consider that: (1.) user characteristics632 specify that the user's heart rate is at a resting rate and the body temperature falls (indicative of resting or sleeping), (2.) motion matching634 determines that the user has a relatively low level of activity, and (3.) environment factors636 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.
• FIG. 7A illustrates a perspective view of an exemplary data-capable band configured to receive overmolding. Here,band700 includesframework702, covering704,flexible circuit706, covering708,motor710, coverings714-724, plug726,accessory728, controlhousing734,control736, and flexible circuits737-738. In some examples,band700 is shown with various elements (i.e., covering704,flexible circuit706, covering708,motor710, coverings714-724, plug726,accessory728, controlhousing734,control736, and flexible circuits737-738) coupled toframework702.Coverings708,714-724 and controlhousing734 may be configured to protect various types of elements, which may be electrical, electronic, mechanical, structural, or of another type, without limitation. For example, covering708 may be used to protect a battery and power management module from protective material formed aroundband700 during an injection molding operation. As another example,housing704 may be used to protect a printed circuit board assembly (“PCBA”) from similar damage. Further, controlhousing734 may be used to protect various types of user interfaces (e.g., switches, buttons (e.g., control736), 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 band700, which may be worn by a user around a wrist, arm, leg, ankle, neck or other protrusion or aperture, without restriction.Band700, 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.
• FIG. 7B illustrates a side view of an exemplary data-capable band. Here,band740 includesframework702, covering704,flexible circuit706, covering708,motor710,battery712, coverings714-724, plug726,accessory728, button/switch/LED730-732, controlhousing734,control736, and flexible circuits737-738 and is shown as a side view ofband700. In other examples, the number, type, function, configuration, ornamental appearance, or other aspects shown may be varied without limitation.
• FIG. 8A illustrates a perspective of an exemplary data-capable band having a first molding. Here, an alternative band (i.e., band800) includesmolding802, analog audio TRRS-type plug (hereafter “plug”)804, plughousing806,button808,framework810, controlhousing812, andindicator light814. In some examples, a first protective overmolding (i.e., molding802) has been applied over band700 (FIG. 7) and the above-described elements (e.g., covering704,flexible circuit706, covering708,motor710, coverings714-724, plug726,accessory728, controlhousing734,control736, and flexible circuit738) leaving some elements partially exposed (e.g., plug804, plughousing806,button808,framework810, controlhousing812, and indicator light814). 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 protectband800 from subsequent moldings formed overband800 using the above-described techniques. In other examples, the type, configuration, location, shape, design, layout, or other aspects ofband800 may be varied and are not limited to those shown and described. For example,TRRS plug804 may be removed if a wireless communication facility is instead attached toframework810, thus having a transceiver, logic, and antenna instead being protected bymolding802. As another example,button808 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 band800 is undergoing), thus enablingmolding802 to be extended more fully, if not completely, overband800. In other examples, the number, type, function, configuration, ornamental appearance, or other aspects shown may be varied without limitation.
• FIG. 8B illustrates a side view of an exemplary data-capable band. Here,band820 includesmolding802, plug804, plughousing806,button808, controlhousing812, andindicator lights814 and822. In other examples, the number, type, function, configuration, ornamental appearance, or other aspects shown may be varied without limitation.
• FIG. 9A illustrates a perspective view of an exemplary data-capable band having a second molding. Here, band900 includesmolding902, plug904, andbutton906. As shown another overmolding or protective material has been formed by injection molding, for example, molding902 over band900. As another molding or covering layer,molding902 may also be configured to receive surface designs, raised textures, or patterns, which may be used to add to the commercial appeal of band900. In some examples, band900 may be illustrative of a finished data-capable band (i.e., band700 (FIG. 7),800 (FIG. 8) or900) that may be configured to provide a wide range of electrical, electronic, mechanical, structural, photonic, or other capabilities.
• Here, band900 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, plug900 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, plug904 may be removed and instead replaced with a wireless communication facility that is protected bymolding902. If using a wireless communication facility and protocol, band900 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, band900 and the elements described above in connection withFIGS. 1-9, may be varied in type, configuration, function, structure, or other aspects, without limitation to any of the examples shown and described.
• FIG. 9B illustrates a side view of an exemplary data-capable band. Here,band910 includesmolding902, plug904, andbutton906. In other examples, the number, type, function, configuration, ornamental appearance, or other aspects shown may be varied without limitation.
• FIG. 10 illustrates an exemplary computer system suitable for use with a data-capable band. In some examples,computer system1000 may be used to implement computer programs, applications, methods, processes, or other software to perform the above-described techniques.Computer system1000 includes abus1002 or other communication mechanism for communicating information, which interconnects subsystems and devices, such asprocessor1004, system memory1006 (e.g., RAM), storage device1008 (e.g., ROM), disk drive1010 (e.g., magnetic or optical), communication interface1012 (e.g., modem or Ethernet card), display1014 (e.g., CRT or LCD), input device1016 (e.g., keyboard), and cursor control1018 (e.g., mouse or trackball).
• According to some examples,computer system1000 performs specific operations byprocessor1004 executing one or more sequences of one or more instructions stored insystem memory1006. Such instructions may be read intosystem memory1006 from another computer readable medium, such asstatic storage device1008 ordisk drive1010. In some examples, hard-wired circuitry may be used in place of or in combination with software instructions for implementation.
• The term “computer readable medium” refers to any tangible medium that participates in providing instructions toprocessor1004 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 asdisk drive1010. Volatile media includes dynamic memory, such assystem memory1006.
• 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.
• 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 comprisebus1002 for transmitting a computer data signal.
• In some examples, execution of the sequences of instructions may be performed by asingle computer system1000. According to some examples, two ormore computer systems1000 coupled by communication link1020 (e.g., LAN, PSTN, or wireless network) may perform the sequence of instructions in coordination with one another.Computer system1000 may transmit and receive messages, data, and instructions, including program, i.e., application code, throughcommunication link1020 andcommunication interface1012. Received program code may be executed byprocessor1004 as it is received, and/or stored indisk drive1010, or other non-volatile storage for later execution.
• 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 diagram1100, 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 point1130 (e.g., a reference point for a position, such as a center of mass). Aheadset1110 is configured to communicate withbands1111,1112,1113 and1114 and is disposed on a body portion1102 (e.g., the head), which is subject to motion relative tocenter point1130.Bands1111 and1112 are disposed onlocomotive portions1104 of the user (e.g., the arms or wrists), whereasbands1113 and1114 are disposed onlocomotive portion1106 of the user (e.g., the legs or ankles). As shown,headset1110 is disposed atdistance1120 fromcenter point1130,bands1111 and1112 are disposed atdistance1122 fromcenter point1130, andbands1113 and1114 are disposed atdistance1124 fromcenter point1130. A great number of users have different values ofdistances1120,1122, and1124. Further, different wrist-to-elbow and elbow-to-shoulder lengths for different users affect the relative motion ofbands1111 and1112 aboutcenter point1130, and similarly, different hip-to-knee and knee-to-ankle lengths for different users affect the relative motion ofbands1113 and1114 aboutcenter point1130. 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, asingle band1111 is sufficient to establish a “motion fingerprint.” In other examples, one or more ofbands1111,1112,1113 and1114 can be configured to operate with multiple users, including non-human users, such as pets or other animals.
• FIGS. 12-13 are diagrams representing examples of networks formed using one or more bands, according to some embodiments. Diagram1200 ofFIG. 12 depicts a personal, wearable network including a number ofbands1211,1212,1213, and1214 (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,bands1211,1212,1213, and1214 can communicate with each other via, for example, Bluetooth® to form a peer-to-peer network. Further, awearable communication device1210 configured for aural communication, such as a headset, can communicate withbands1211,1212,1213, and1214, and can serve as a router to route data amongbands1211,1212,1213, and1214, and with a mobile communications device1216 (e.g., a mobile phone). As shown,wearable communication device1210 formscommunication links1217 with one ormore bands1211,1212,1213, and1214. Any ofbands1211,1212,1213, and1214 can communicate oncommunication link1219 vianetworks1220 to aremote band1230. Or,bands1211,1212,1213, and1214 can communicate viacommunication links1218 andnetworks1220 to aremote band1230. Note that in some embodiments,bands1211,1212,1213, and1214 form a secured personal, wearable network based on security keys that consider, for example, motion (e.g., allbands1211,1212,1213, and1214 are moving in the same direction and can be indicative of a singleperson using bands1211,1212,1213, and1214).
• Diagram1300 ofFIG. 13 depicts a number of bands that form a local network between the bands, according to one example. Aband1312 is associated with auser1301.Bands1312 can communicate viacommunication links1317 and1318 tocommunication device1316, and, in turn, to one ormore network1320. Note thatgroup1302 ofusers1301 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 byusers1301. Rather, the common activity and general permissions can facilitate establishment of an ad hoc network amongband1312, which, for example, can cease to operate as network once users cease to participate in the common activity.
• 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.
• 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.

Claims (9)

What is claimed:

1. 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 diet.

2. The medical band ofclaim 1, wherein the medical condition comprises a negative reaction associated with food.

3. The medical band ofclaim 1, wherein the medical condition comprises a lack of a nutrient.

4. The medical band ofclaim 1, wherein the medical condition comprises a blood sugar level.

5. The medical band ofclaim 1, further comprising a communications facility configured to receive patient medical records data.

6. The medical band ofclaim 1, further comprising a communications facility configured to receive healthcare professional data.

7. The medical band ofclaim 1, wherein the notification comprises a vibration.

8. The medical band ofclaim 1, wherein the notification is defined by user input data.

9. The medical band ofclaim 1, wherein the processor is further configured to determine a mode of operation based on the data.

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