EP2718805A1 - Sécurité des données d'un dispositif portable - Google Patents

Sécurité des données d'un dispositif portable

Info

Publication number
EP2718805A1
EP2718805A1 EP12797301.4A EP12797301A EP2718805A1 EP 2718805 A1 EP2718805 A1 EP 2718805A1 EP 12797301 A EP12797301 A EP 12797301A EP 2718805 A1 EP2718805 A1 EP 2718805A1
Authority
EP
European Patent Office
Prior art keywords
data
wearable device
band
sensors
input
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP12797301.4A
Other languages
German (de)
English (en)
Inventor
Hosain Sadequr RAHMAN
Richard Lee DRYSDALE
Michael Edward Smith Luna
Scott Fullam
Travis Austin BOGARD
Jeremiah Robison
Max Everett II UTTER
Thomas Alan Donaldson
Raymond A. MARTINO
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
AliphCom LLC
Original Assignee
AliphCom LLC
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from US13/158,372 external-priority patent/US20120313272A1/en
Priority claimed from US13/158,416 external-priority patent/US20120313296A1/en
Priority claimed from US13/180,320 external-priority patent/US8793522B2/en
Priority claimed from US13/181,500 external-priority patent/US20120317024A1/en
Application filed by AliphCom LLC filed Critical AliphCom LLC
Publication of EP2718805A1 publication Critical patent/EP2718805A1/fr
Withdrawn legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/64—Protecting data integrity, e.g. using checksums, certificates or signatures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/316—User authentication by observing the pattern of computer usage, e.g. typical user behaviour
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • G06F21/6245—Protecting personal data, e.g. for financial or medical purposes

Definitions

  • the present invention relates generally to electrical and electronic hardware, computer software, data security, encryption, authentication, wired and wireless network communications, data processing, and computing devices. More specifically, techniques for wearable device data security are described.
  • 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.
  • solutions arc required that will provide secure means for using and storing data associated with this information.
  • Conventional solutions provide techniques for encoding or capturing sensitive data, but fail to provide efficient or effective means for using this data in a non-disruptive or inefficient manner.
  • a user must be required to use a keyboard or virtual representation of a keyboard on a graphical user interface, forcing the entry of characters and numbers in order to unlock password-protected data or information. This is often time- consuming and disruptive to the performance of other activities.
  • FIG. I illustrates an exemplary data-capable strapband system
  • FIG. 2 illustrates a block diagram of an exemplary data-capable strapband
  • FIG. 3 illustrates sensors for use with an exemplary data-capable strapband
  • FIG. 4 illustrates an application architecture for an exemplary data-capable strapband
  • FIG. 5A illustrates representative data types for use with an exemplar ' data-capable strapband
  • FIG. 5B illustrates representati e data types for use with an exemplary data-capable strapband in fitness-related activities
  • FIG. 5C illustrates representative data types for use with an exemplary data-capable strapband in sleep management activities
  • FIG. 5D illustrates representative data types for use with an exemplary data-capable strapband in medical-related activities
  • FIG. 5E illustrates representative data types for use with an exemplary data-capable strapband in social media/networking-rclated activities
  • FIG. 6A illustrates an exemplary system for wearable device data security
  • FIG. 6B illustrates an exemplary system for media device content management using sensory input
  • FIG. 6C illustrates an exemplary system for device control using sensory input
  • FIG. 6D illustrates an exemplary system for movement languages in wearable devices
  • FIG. 7A illustrates a perspective view of an exemplary data-capable strapband
  • FIG. 7B illustrates a side view of an exemplary data-capable strapband
  • FIG. 8A illustrates a perspective view of an exemplary data-capable strapband
  • FIG. 8B illustrates a side view of an exemplary data-capable strapband
  • FIG. 9A illustrates a perspective view of an exemplary data-capable strapband
  • FIG. 9B illustrates a side view of an exemplary data-capable strapband
  • FIG. 1 illustrates an exemplary computer system suitable for use with a data-capable strapband
  • FIG. 1 1 A illustrates an exemplary process for media device content management using sensory input
  • FIG. I I B illustrates an exemplary process for device control using sensory input
  • FIG. 1 1 C illustrates an exemplary process for wearable device data security
  • FIG. 1 ID illustrates an exemplary process for movement languages in wearable devices.
  • FIG. 1 illustrates an exemplary data-capable strapband system.
  • system 100 includes network 102, strapbands (hereafter “bands”) 104- 1 12, server 1 14, mobile computing device 1 15, mobile communications device 1 18, computer 120, laptop 122. and distributed sensor 124.
  • bands strapbands
  • “strapband” and “band” may be used to refer to the same or substantially similar data-capable device that may be worn as a strap or band around an arm, leg, ankle, or other bodily appendage or feature.
  • bands 1 4- 1 12 may be attached directly or indirectly to other items, organic or inorganic, animate, or static.
  • bands 104- 1 12 may be used differently.
  • bands 1 4- 1 1 2 may be implemented as wearable personal data or data capture devices (e.g., data-capable devices; as used herein, “data-capable” may refer to any capability using data from or transferred using indirect or direct data communication links (e.g., wired, wireless, synchronous, asynchronous, constant, intermittent, coupled, paired, tethered, polled, or otherwise)) that arc worn by a user around a wrist, ankle, arm, car, 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- 1 12 in order to capture various types of data from different sources.
  • Temperature, environmental, temporal, motion, electronic, electrical, chemical, or other types of sensors 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-activatcd detcctcd command structures (e.g., accelcromctcr-gathcrcd data from user-initiated motion of bands 104- 1 12), 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- 1 12).
  • GUI graphical user interface
  • Bands 104-1 12 may also be implemented as data-capable devices that arc configured for data communication using various types of communications infrastructure and media, as described in greater detail below.
  • Bands 104- 1 12 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.
  • UI sensory-based user interface
  • 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.
  • 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, or other states, or activity level), emotional, or mental state (e.g., an elevated body temperature or heart rate (i.e., the rate at which a heart beats as measured against a set period of time (e.g., 10 seconds, 1 minute, 10 minutes, and the like) may indicate stress, a lowered heart rate and skin temperature, or reduced movement (excessive sleeping), may indicate physiological depression caused by exertion or other factors, chemical data gathered from evaluating outgassing 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).
  • a person's physical e.g., healthy, sick, weakened, or other states, or activity level
  • emotional, or mental state e.g., an
  • bands 1 4- 1 12 may be configured to gather from sensors locally and remotely.
  • band 104 may capture (i.e., record, store, communicate (i.e., send or receive), process, or the like) sensory input and data from various sources (i.e., sensors that arc organic (i.e., installed, integrated, or otherwise implemented with band 104) or distributed (e.g., microphones on mobile computing device 1 15, mobile communications device I I X, 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- 1 12, server 1 14, mobile computing device 1 15, mobile communications device 1 18, computer 120, laptop 122, and distributed sensor 124.
  • sources i.e., sensors that arc organic (i.e., installed, integrated, or otherwise implemented with band 104) or distributed (e.g., microphones on mobile computing device 1 15, mobile communications device I I X, computer 120, laptop 122, distributed sensor 124, global positioning system (“GPS") satellites
  • sensors coupled (directly or indirectly) to band 104 or distributed sensor 124 may be configured to record one or more parameters (e.g., noise level, decibel, volume, frequency, amplitude, bandwidth, and others) associated with a noise or person's voice, which may be used in various types of applications such as voice printing and others, without limitation.
  • a local sensor may be one that is incorporated, integrated, or otherwise implemented with bands 104- 1 12.
  • a remote or distributed sensor may be sensors that can be accessed, controlled, or otherwise used by bands 104- 1 12.
  • band 1 12 may be configured to control devices that are also controlled by a given user (e.g., mobile computing device 1 1 , mobile communications device 1 18, computer 120, laptop 122, and distributed sensor 124).
  • a microphone in mobile communications device 1 18 may be used to detect, for example, ambient audio data that is used to help identify a person's location, or an car clip (e.g., a headset as described below) affixed to an car may be used to record pulse or blood oxygen saturation levels.
  • a sensor implemented with a screen on mobile computing device 1 15 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 on computer 120 or laptop 122 that provides information as to a user's online behavior and the type of content that she is viewing, which may be used by bands 104- 1 12.
  • data may be transferred to bands 104- 1 12 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- 1 12 to another device or system for transferring data and, in some examples, to provide power to recharge a battery (not shown).
  • a wireless data communication interface or facility e.g., a wireless radio that is configured to communicate data from bands 104- 1 12 using one or more data communication protocols (e.g., I EEE 802.
  • bands 104- 1 12 may be configured to analyze, evaluate, modify, or otherwise use data gathered, cither directly or indirectly.
  • bands 104- 1 12 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 1 14.
  • server 1 14 can be operated by a third party providing, for example, social media-related services.
  • An example of such a third party may be Facebook®.
  • Bands 104-1 12 may exchange data with each other directly or via a third party server providing social-media related services.
  • Such data can include personal physiological data and data derived from sensory-based user interfaces ("UI").
  • Server 1 14, 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.
  • bands 104- 1 12 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- 1 12) may be. shared.
  • bands 104 and 1 12 may be configured to exchange data with each other over network 1 2 or indirectly using server 1 14.
  • Users of bands 104 and 1 12 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 1 4 and 1 12.
  • a computer e.g., computer 120, laptop 122, or the like
  • two runners using bands 104 and 1 12 may be geographically remote (e.g., users are not geographically in close proximity locally such that bands being used by each user arc in direct data
  • race times pre, post, or in-racc
  • personal records i.e., "PR”
  • target split times results
  • performance characteristics e.g., target heart rate, target VO 2 max, and others
  • 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.
  • 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.
  • 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- 1 12 and a plug configured to receive, encode/decode, and process data exchanged) may be used to transfer data from one or more bands 104- 1 12 to various destinations (e.g., another of bands 104- 1 12, server 1 14, mobile computing device 1 15, mobile
  • a wired data connection e.g., an analog audio plug (and associated software or firmware) configured to transfer digitally encoded data to encoded
  • Bands 104- 1 12 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- 1 12 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®. ANTTM, and others) may be implemented as part of bands 104- 1 12, 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.
  • an analog audio plug e.g., TRRS, TRS, or others
  • wireless communication facilities using various types of data communication protocols e.g., WiFi, Bluetooth®, ZigBee®. ANTTM, and others
  • bands 104- 1 12 may include circuitry, firmware, hardware, radios, antennas, processors, microprocessors, memories
  • bands 1 4- 1 12 may be configured to collect data from a wide range of sources, including onboard (not shown) and distributed sensors (e.g., server 1 14, mobile computing device 1 15, mobile communications device 1 18, 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- 1 12.
  • 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- 1 12.
  • data security for bands 104-1 12 may be implemented differently.
  • Bands 104-1 12 may be used as personal wearable, data capture devices that, when worn, arc configured to identify a specific, individual user.
  • captured data such as motion data from an accelcrometcr, biomctric data such as heart rate, skin galvanic response, and other biomctric data, and using analysis techniques, both long and short-term (e.g., software packages or modules of any type, without limitation)
  • a user may have a unique pattern of behavior or motion and/or biomctric responses that can be used as a signature for identification.
  • bands 104- 1 12 may gather data regarding an individual person's gait or other unique biomctric, physiological or behavioral characteristics.
  • a biomctric signature (e.g., fingerprint, retinal or iris vascular pattern, or others) may be gathered and transmitted to bands 1 4- 1 12 that, when combined with other data, determines that a given user has been properly identified and, as such, authenticated.
  • bands 104- 1 12 When bands 104- 1 12 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- 1 12), modifying functionality or functions of bands 104- 1 12, 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.
  • 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
  • bands 104- 1 12 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.
  • FIG. 2 illustrates a block diagram of an exemplary data-capable strapband.
  • band 200 includes bus 202, processor 204, memory 206, vibration source 208, accelcrometer 210, sensor 212, battery 214, and communications facility 2 16.
  • the quantity, type, function, structure, and configuration of band 200 and the elements e.g., bus 202, processor 204, memory 206, vibration source 208, accelcrometer 210, sensor 212, battery 214, and communications facility 216) shown may be varied and are not limited to the examples provided.
  • processor 204 may be implemented as logic to provide control functions and signals to memory 206, vibration source 208, accelerometer 210, sensor 212, battery 2 14, and communications facility 216.
  • Processor 204 may be implemented using any type of processor or microprocessor suitable for packaging within bands 104- 1 12 (FIG. 1 ).
  • Various types of microprocessors may be used to provide data processing capabilities for band 200 and arc not limited to any specific type or capability.
  • a MSP430F5528-typc 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.
  • TRRS audio plug-and-jack system
  • different processors may be desired if other functionality (e.g., the type and number of sensors (e.g., sensor 21 2)) arc varied.
  • Data processed by processor 204 may be stored using, for example, memory 206.
  • 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.
  • ROM read-only memory
  • RAM random access memory
  • DRAM dynamic random access memory
  • SRAM static random access memory
  • SDRAM static/dynamic random access memory
  • MRAM magnetic random access memory
  • Solid state two and three-dimensional memories
  • Flash® Flash®
  • 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.
  • Vibration source 208 may be implemented as a motor or other mechanical structure that functions to provide vibratory energy that is communicated through band 200.
  • 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. If an alarm is set for a desired time, vibration source 208 may be used to vibrate when the desired time occurs.
  • vibration source 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, vibration source 208 may be implemented differently.
  • 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 charge a battery that is used to power the system (e.g., of a strapband).
  • 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,
  • 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, vibration source 208, accclcrometer 210, sensor 212, or communications facility 216.
  • accclcrometer 210 may be used to gather data measured across one, two, or three axes of motion.
  • other sensors i.e., sensor 212
  • 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 may also be exchanged, transferred, or otherwise communicated using communications facility 216.
  • “facility” refers to any.
  • communications facility 216 may include a wireless radio, control circuit or logic, antenna, transceiver, receiver, transmitter, resistors, diodes, transistors, or other elements that arc used to transmit and receive data from band 200.
  • communications facility 2J 6 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.
  • 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.
  • 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.
  • FIG. 3 illustrates sensors for use with an exemplary data-capable strapband.
  • 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.
  • 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) 3 10, pedometer 312, vclocimcter 3 14, GPS receiver 3 1 , 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
  • IR light/infrared
  • HR pulse/heart rate
  • GPS receiver 3 1 GPS receiver 3 1
  • 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
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • additional sensors that may be used as sensor 212 include those configured to identify or obtain location-based data.
  • 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")-
  • differential GPS algorithms may also be implemented with GPS receiver 316, which may be used to generate more precise or accurate coordinates.
  • 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.
  • 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, piczomcchanical, pressure, touch, thermal, and others) of sensors for data input to band 200, without limitation.
  • 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.
  • FIG. 4 illustrates an application architecture for an exemplary data-capable strapband.
  • application architecture 400 includes bus 402, logic module 404, communications module 406, security module 408, interface module 41 , data management 412, audio module 4 14, motor controller 416, service management module 418, sensor input evaluation module 420, and power management module 422.
  • 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 41 , 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.
  • 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 exccutables, or others) that, when initiated, called, or instantiated, perform various functions.
  • program instructions or code e.g., source, object, binary exccutables, or others
  • 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.
  • security module 408 may be controlled by logic module 404 to provide encoding, decoding, encryption, authentication, or other functions to band 200 (FIG. 2).
  • security module 408 may also have stored or include access to unique security or encryption keys that are inaccessible by other modules.
  • 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.
  • Interface module 410 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.
  • 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.
  • 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.
  • interface module 410 may be used to interpret data from, for example, accelcromcter 2 10 (FIG. 2) to identify specific movement or motion that initiates or triggers a given response.
  • interface module 410 may be used to manage different types of displays (e.g., light-emitting diodes (LEDs). interfcromctric modulator display (IMOD), elcctrophorctic ink (E Ink), organic light-emitting diode (OLED), etc.). In other examples, interface module 410 may be implemented differently in function, structure, or configuration and is not limited to those shown and described.
  • displays e.g., light-emitting diodes (LEDs).
  • LEDs light-emitting diodes
  • MIMOD interfcromctric modulator display
  • E Ink elcctrophorctic ink
  • OLED organic light-emitting diode
  • interface module 410 may be implemented differently in function, structure, or configuration and is not limited to those shown and described.
  • audio module 414 may be configured to manage encoded or unencoded data gathered from various types of audio sensors.
  • audio module 414 may include one or more codecs that arc used to encode or decode various types of audio waveforms.
  • 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.
  • audio module 414 may be implemented differently in function, structure, configuration, or implementation and is not limited to those shown and described.
  • band 200 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., vibration source 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, ho 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».
  • 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.
  • 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.
  • 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 arc invoked in order to ensure that desired applications arc executed properly within application architecture 400.
  • 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.
  • service management module 418 may be implemented differently and is not limited to the examples provided herein.
  • 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.
  • FIG. 5A illustrates representative data types for use with an exemplary data-capable strapband.
  • 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 5 16.
  • Various types of data may be captured from sensors, such as those described above in connection with FIG. 3.
  • Manually- entered data may be data or inputs received directly and locally by band 200 (FIG. 2).
  • manually-entered data may also be provided through a third-party website that stores the data in a database and may be synclironized from server 1 14 (FIG. 1) with one or more of bands 104- 1 12.
  • 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.
  • 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, rales, or other information that has been previously entered by a given user of wearable device 502.
  • network data 5 1 2 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 arc not limited to the examples shown and described. Additional context-specific examples of types of data captured by bands 104- 1 12 (FIG. 1 ) are provided below.
  • FIG. 5B illustrates representative data types for use with an exemplary data-capable strapband in fitness-related activities.
  • band 519 may be configured to capture types (i.e., categories) of data such as heart rate/pulse monitoring data 520, blood oxygen level data 522, skin temperature data 524, salinity/cmission/outgassing data 526, location/GPS data 528, environmental data 530. and accelerometer data 532.
  • 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 level 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., biomcchanieal information, including gait, stride, stride length, among others)).
  • Other or different types of data may be captured by band 5 19, but the above-described examples are illustrative of some types of data that may be captured by band
  • data captured may be uploaded to a website or online/networked destination for storage and other uses.
  • fitness-related data may be used by applications that arc 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.
  • 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 51 , 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 strapband in sleep management activities.
  • 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, acccleromctcr data 544, skin resistivity data 546, user input data 548, clock data 550, and audio data 552.
  • heart rate monitor data 540 may be captured to evaluate rest, waking, or various states of sleep.
  • Motion sensor data 542 and accelcromcter data 544 may be used to determine whether a user of band 539 is experiencing a restful or fitful sleep.
  • 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.
  • Accelcromcter 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.
  • 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).
  • user input data may include data input by a user as to how and whether band 539 should trigger vibration source 208 (FIG.
  • 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 strapband in medical-related activities.
  • 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, chemical protein/analysis data 568, patient medical records data 570, and healthcare professional (e.g., doctor, physician, registered nurse, physician's assistant, dentist, orthopedist, surgeon, and others) data 572.
  • data may be captured by band 539 directly from wear by a user.
  • 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 1 14 to perform further analysis. If sent to server 1 14, 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.
  • FIG. 5E illustrates representative data types for use with an exemplary data-capable strapband in social media/nctworking-related activities.
  • social media/networking-related activities include related to Internet-based Social Networking Services ("SNS"), such as Faccbook®, Twitter®, etc.
  • SNS Internet-based Social Networking Services
  • band 51 shown with an audio data plug, may be configured to capture data for use with various types of social media and networking-related services, websites, and activities.
  • clock/timer data 590, and environmental data 592 are examples of data that may be gathered and shared by, for example, uploading data from band 19 using, for example, an audio plug such as those described herein.
  • acccleromcter data 580 may be captured and shared with other users to share motion, activity, or other movement-oriented data.
  • Manual data 582 may be data that a given user also wishes to share with other users.
  • other user/friends data 584 may be from other bands (not shown) that can be shared or aggregated with data captured by band 519.
  • Location data 586 for band 519 may also be shared with other users.
  • a user may also enter manual data 582 to prevent other users or friends from receiving updated location data from band 519.
  • network data 588 and clock/timer data may be captured and shared with other users to indicate, for example, activities or events that a given user (i.e., wearing band 519) was engaged at certain locations. Further, if a user of band 519 has friends who arc not
  • band 5 1 e.g., weather, temperature, humidity, sunny or overcast (as interpreted from data captured by a light sensor and combined with captured data for humidity and temperature), among others).
  • band 5 1 e.g., weather, temperature, humidity, sunny or overcast (as interpreted from data captured by a light sensor and combined with captured data for humidity and temperature), among others.
  • more, fewer, or different types of data may be captured for medical-related activities.
  • FIG. 6A illustrates an exemplary system for wearable device data security.
  • Exemplary system 600 comprises network 102, band 1 12, and server 1 14.
  • band 1 12 may capture data that is personal, sensitive, or confidential.
  • security protocols and algorithms as described above, may be implemented on band 1 12 to authenticate a user's identity. This authentication may be implemented to prevent unwanted use or access by others.
  • the security protocols and algorithms may be performed by scn'cr 1 14, in which case band 1 12 may communicate with server 1 14 via network 102 to authenticate a user's identity.
  • Use of the band to capture, evaluate or access a user's data may be predicated on authentication of the user's identity.
  • band 1 12 may identify of a user by the user's unique pattern of behavior or motion.
  • Band 1 12 may capture and evaluate data from a user to create a unique key personal to the user.
  • the key may be associated with an individual user's physical attributes, including gait, biometric or physiological signatures (e.g., resting heart rate, skin temperature, salinity of emitted moisture, etc.), or any other sets of data that may be captured by band 1 12, as described in more detail above.
  • the key may be based upon a set of physical attributes that arc known in combination to be unique to a user.
  • band 1 12 may be used to authenticate with other bands (not shown) that may be owned by the same individual (i.e., user). Multiple bands, for example, that are owned by the same individual may be configured for different sensors or types of activities, but may also be configured to share data between them.
  • band 1 12 may be configured using various types of authentication, identification, or other security techniques among one or more bands, including band 1 12.
  • band 1 12 may be in direct data communication with other bands (not shown) or indirectly through an authentication system or service, which may be implemented using server 1 14.
  • band 1 12 may send data to server 1 14, which in turn carries out the authentication and returns a prompt or notification to band 1 12 to unlock band 1 12 for use.
  • data security and identity authentication for band 1 12 may be implemented differently.
  • FIG. 6B illustrates an exemplary system for media device content management using sensory input.
  • system 660 includes band 612, sensors 614-620, data connection 622, media device 624, and playlists 626-632.
  • band 12 may also be referred to interchangeably as a "wearable device.”
  • Sensors 614-620 may be implemented using any type of sensor such as a 2 or 3-axis accelerometer, temperature, humidity, barometric pressure, skin resistivity (i.e., galvanic skin response (GSR)), pedometer, or any other type of sensor, without limitation.
  • GSR galvanic skin response
  • Data connection 622 may be implemented as any type of wired or wireless connection using any type of data communication protocol (e.g., Bluetooth®, wireless fidelity (i.e., WiFi), LAN, WAN, MAN, near field communication (NFC), or others, without limitation) between band 612 and media device 624.
  • Data connection 622 may be configured to transfer data bi-directionally or in a single direction between media device 624 and band 612.
  • data connection 622 may be implemented by using a 3.5mm audio jack that connects to an appropriate plug (i.e., outlet) and transmits electrical signals that may be interpreted for transferring data.
  • a wireless radio, transmitter, transceiver, or the like may be implemented with band 612 and, when a motion is detected via an installed accelerometer on the band 612, initiates a transmission of a control signal to media device 624 to, for example, begin playing playlist 630, change from one playlist to another, forward to another song on given playlist, and the like.
  • on or more of play lists 626-632 may reside locally (e.g., on media device 624, etc.). In other examples, one or more of playlists 626-632 may be implemented remotely (e.g., in the Cloud, etc.). In some examples, one or more of playlists 626-632 may be created from songs or groups of songs (e.g., other playlists, etc.) that are shared with the user through an SNS, a radio station website, or other remote source. In some examples, one or more of playlists 626-632 may be created using sensory data gathered by band 612. In other examples, one or more of playlists 626-632 may be created using sensory data gathered by other data- capable bands, worn by the user also wearing band 12, or worn by another user.
  • media device 624 may be any type of device that is configured to display, play, interact, show, or otherwise present various types of media, including audio, visual, graphical, images, photograph ica I, video, rich media, multimedia, or a combination thereof, without limitation.
  • Examples of media device 624 may include audio playback devices (e.g., players configured to play various formats of audio and video files including .mp3, .wav, and others, without limitation), connected or wireless (e.g., Bluetooth ⁇ , WiFi, WLAN, and others) speakers, radios, audio devices installed on portable, desktop, or mobile computing devices, and others.
  • Playlists 626-632 may be configured to play various types of files of any format, as representatively illustrated by "File I , File 2, File 3" in association with each playlist.
  • autism file on a given playlist may be any type of media and played using various types of formats or applications implemented on media device 624. As described above, these files may reside locally or remotely.
  • sensors 14-620 may detect various types of inputs locally (i.e., on band 612) or remotely (i.e., on another device that is in data communication with band 612) such as an activity or motion (e.g., running, walking, swimming, jogging, jumping, shaking, turning, cycling, or others), a biological state (e.g., healthy, ill, diabetic, or others), a physiological state (e.g., normal gait, limping, injured, or others), or a psychological state (e.g., happy, depressed, angry, and the like).
  • an activity or motion e.g., running, walking, swimming, jogging, jumping, shaking, turning, cycling, or others
  • a biological state e.g., healthy, ill, diabetic, or others
  • a physiological state e.g., normal gait, limping, injured, or others
  • a psychological state e.g., happy, depressed, angry, and the like.
  • band 612 may be configured to generate control signals (e.g., electrical or electronic signals that are generated at various types of amount of voltage in order to produce, initiate, trigger, or otherwise cause certain actions or functions to occur). For example, data may be transferred from sensors 614-620 to band 612 indicating that a user has started running. Band 612 may be configured to generate a control signal to media device 624 over data connection 622 to initiate playing files in a given play list in order.
  • control signals e.g., electrical or electronic signals that are generated at various types of amount of voltage in order to produce, initiate, trigger, or otherwise cause certain actions or functions to occur.
  • control signals e.g., electrical or electronic signals that are generated at various types of amount of voltage in order to produce, initiate, trigger, or otherwise cause certain actions or functions to occur.
  • data may be transferred from sensors 614-620 to band 612 indicating that a user has started running.
  • Band 612 may be configured to generate a control signal to media device 624 over data connection 622 to initiate playing files in a
  • a shake of a user's wrist may cause band 612 to generate a different control signal that causes media device 624 to change the play order, to change files, to forward to another file, to playback from a different part of the currently played file, or the like.
  • a given movement e.g., a user shakes her wrist (on which band 612 is worn)
  • Band 612 may be configured to detect motion using an accelerometer (not shown), which then resolves the detected motion into data associated with three separate axes of movement, translated into data or electrical control signals that may be stored in a memory that is local and/or remote to band 612.
  • the stored data of a given motion may be associated with a specific action such that, when detected, control signals may be generated by band 612 and sent over data connection 622 to media device 624 or other types of devices, without limitation.
  • a control signal may be generated by band 612 to begin playback of Brahms' Lullaby via a Bluetooth ⁇ - connected headset speaker (i.e., media device 624).
  • media device 624 may be controlled by band 61 2 to initiate playback of a file on a graphical user interface of a connected device (e.g., a mobile computing or communications device) that provides a tutorial on ninning injury recovery and prevent.
  • a physiological state change e.g., a user is walking with a gait or limp as opposed to normally observed physiological behavior
  • media device 624 may be controlled by band 61 2 to initiate playback of a file on a graphical user interface of a connected device (e.g., a mobile computing or communications device) that provides a tutorial on ninning injury recovery and prevent.
  • band 612 may send a control signal to media device 624 to display an inquiry as to whether the user wishes to hear songs played from her "happy playlist" (not shown).
  • sensor 620 detects one or more parameters that a user is happy (e.g., sensor 620 detects an accelerated, but regular heart ' rate, rapid or erratic movements, increased body temperature, increased speech levels, and the like)
  • band 612 may send a control signal to media device 624 to display an inquiry as to whether the user wishes to hear songs played from her "happy playlist" (not shown).
  • FIG. 6C illustrates an exemplary system for device control using sensory input.
  • system 640 includes band 612, sensors 614-620, data connection 642, and device types 644-654.
  • Those elements shown that arc like-named and numbered may be designed, implemented, or configured as described above or differently.
  • the detection by band 612 of a given activity, biological state, physiological state, or psychological state may be gathered as data from sensors 614-620 and used to generate various types of control signals.
  • Control signals in some examples, may be transmitted via a wired or wireless data connection (e.g., data connection 642) to one or multiple device types 644-654 that arc in data
  • Device types 644-654 may be any type of device, apparatus, application, or other mechanism that may be in data connection with, coupled to (indirectly or directly), paired (e.g., via Bluetooth® or another data communication protocol), or otherwise configured to receive control signals from band 612.
  • Various types of devices including another device that may be in data communication with band 612 (i.e., a wearable device), may be any type of physical, mechanical, electrical, electronic, chemical, biomechanical, biochemical, bioclcctrical, or other type of device, without limitation.
  • band 612 may send control signals to various types of devices (e.g., device types 644-654), including payment systems (644), environmental (646), mechanical (648), electrical (650), electronic (652), award (654), and others, without limitation.
  • band 612 may be associated with an account to which a user may link a credit card, debit card, or other type of payment account that, when properly authenticated, allows for the transmission of data and control signals (not shown) over data connection 642 to payment device 644.
  • band 612 may be used to send data that can be translated or interpreted as control signals or voltages in order to manage environmental control systems (e.g., heating, ventilation, air conditioning (HVAC), temperature, air filter (e.g., hepa, pollen, allergen), humidify, and others, without limitation).
  • HVAC heating, ventilation, air conditioning
  • temperature e.g., hepa, pollen, allergen
  • humidify e.g., water
  • Input detected from one or more of sensors 14-620 may be transformed into data received by band 612.
  • control signals may be generated and sent by band 612 over data connection 642 to environmental control system 646, which may be configured to implement a change to one or more environmental conditions within, for example, a residential, office, commercial, building, structural, or other type of environment.
  • band 612 may generate control signals and send these over data connection 642 to environmental control system 646 to lower the ambient air temperature to a specified threshold (as input by a user into an account storing a profile associated with environmental conditions he prefers for running (or another type of activity)) and decreasing humidity to account for increased carbon dioxide emissions due to labored breathing.
  • sensor 616 may detect that a given user is pregnant due to the detection of an increase in various types of hormonal levels, body temperature, and other biochemical conditions.
  • band 612 may be configured to generate, without user input, one or more control signals that may be sent to operate electrical motors that are used to open or close window shades and mechanical systems that are used to open or close windows in order to adjust the ambient temperature inside her home before arriving from work.
  • sensor 618 may detect that a user has been physiologically confined to a sitting position for 4 hours and sensor 620 has received input indicating that the user is in an irritated psychological state due to an audio sensor (not shown, but implcmcntable as sensor 620) detecting increased noise levels (possibly, due to shouting or elevating voice levels), a temperature sensor (not shown) detecting an increase in body temperature, and a galvanic skin response sensor (not shown) detecting changes in skin resistivity (i.e., a measure of electrical conductivity of skin).
  • an audio sensor not shown, but implcmcntable as sensor 620
  • detecting increased noise levels possibly, due to shouting or elevating voice levels
  • a temperature sensor not shown
  • a galvanic skin response sensor not shown
  • band 612 upon receiving this input, may compare this data against a database (cither in firmware or remote over data connection 642) and, based upon this comparison, send a control signal to an electrical system to lower internal lighting and another control signal to an electronic audio system to play calming music from memory, compact disc, or the like.
  • a database either in firmware or remote over data connection 642
  • band 612 may compare this data against a database (cither in firmware or remote over data connection 642) and, based upon this comparison, send a control signal to an electrical system to lower internal lighting and another control signal to an electronic audio system to play calming music from memory, compact disc, or the like.
  • a user may have an account associated with band 612 and enrolls in a participatory fitness program that, upon achieving certain milestones, results in the receipt of an award or promotion.
  • sensor 614 may detect that a user has associated his account with a program to receive a promotional discount towards the purchase of a portable Bluetooth® communications headset.
  • the promotion may be earned once the user has completed, using band 1 2, a 10 kilometer run at an 8-minutc and 30-sccond per mile pace.
  • band 612 may be configured to send a signal or data via a wireless connection (i.e., data connection 642) to award system 654, which may be configured to retrieve the desired promotion from another database (e.g., a promotions database, an advertisement server, an advertisement network, or others) and then send the promotion electronically back to band 612 for further display or use (e.g., redemption) on a device in data connection with band 12 (not shown).
  • a wireless connection i.e., data connection 642
  • award system 654 may be configured to retrieve the desired promotion from another database (e.g., a promotions database, an advertisement server, an advertisement network, or others) and then send the promotion electronically back to band 612 for further display or use (e.g., redemption) on a device in data connection with band 12 (not shown).
  • a wireless connection i.e., data connection 642
  • award system 654 may be configured to retrieve the desired promotion from another database (e.g., a promotions database, an advertisement server, an advertisement network, or others) and
  • FIG. 6D illustrates an exemplary system for movement languages in wearable devices.
  • system 660 includes band 612, sensors 614-620, data connection 622, pattern/movement language library (i.e., pattern library) 664, patterns 666-672, data connection 674, and server 676.
  • band 612 may be configured to compile a "movement language" that may be stored in pattern library 664, which can be cither locally (i.e., in memory on band 612) or remotely (i.e., in a database or other data storage facility that is in data connection with band 612, either via wired or wireless data connections).
  • a "movement language” may refer to the description of a given movement as one or more inputs that may be transformed into a discrete set of data that, when observed again, can be identified as correlating to a given movement.
  • a movement may be described as a collection of one or more motions.
  • biological, psychological, and physiological states or events may also be recorded in pattern library 664. These various collections of data may be stored in pattern library 664 as patterns 666-672.
  • a movement when detected by an accelcromctcr (not shown) on band 12, may be associated with a given data set and used, for example, to perform one or more functions when detected again.
  • Parameters may be specified (i.e., by either a user or system (i.e., automatically or scmi-automatically generated)) that also allow for tolerances to determine whether a given movement falls within a given category (e.g., jumping may be identified as a set of data that has a tolerance of +/- .5 meters for the given individual along a z-axis as input from a 3-axcs accelcromctcr).
  • sensors 614-620 Using the various types of sensors (e.g., sensors 614-620), different movements, motions, moods, emotions, physiological, psychological, or biological events can be monitored, recorded, stored, compared, and used for other functions by band 612. Further, movements may also be downloaded from a remote location (e.g., server 676) to band 612. Input provided by sensors 614-620 and resolved into one or more of patterns 666-672 and used to initiate or perform one or more functions, such as authentication (FIG. 6A), playlist management (FIG. 6B), device control (FIG. 6C), among others.
  • systems 610. 640, 660 and the respective above-described elements may be varied in design, implementation, configuration, function, structure, or other aspects and are not limited to those provided.
  • FIG. 7A illustrates a perspective view of an exemplary data-capable strapband configured to receive overmolding.
  • band 700 includes framework 702, covering 704, flexible circuit 706. covering 708, motor 710, coverings 714-724, plug 726, accessory 72X, control housing 734, control 736, and flexible circuits 737-738.
  • 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.
  • 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.
  • housing 704 may be used to protect a printed circuit board assembly ("PCBA") from similar damage.
  • 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.
  • band 700 may be varied in quantity, type, manufacturer, specification, function, structure, or other aspects in order to provide data capture, communication, analysis, usage, arid 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 ovcrmolding as described above.
  • 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 strapband.
  • band 740 includes framework 702. covering 704, flexible circuit 706, covering 708, motor 71 , battery
  • band 700 is shown as a side view of band 700.
  • 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 strapband having a first molding.
  • an alternative band i.e., band 800
  • TRRS-typc plug hereafter "plug" 804, plug housing 806, button 808, framework 810, control housing 812, and indicator light 814.
  • a first protective ovcrmolding i.e.. molding 802 has been applied over band 700 (FIG. 7) and the abovc-dcscribcd 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
  • band 800 may be varied and arc not limited to those shown and described.
  • 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.
  • button 808 may be removed and replaced by another control mechanism (e.g., an accclerometer 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.
  • another control mechanism e.g., an accclerometer 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
  • another control mechanism e.g., an accclerometer 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
  • another control mechanism e.g., an accclerometer 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
  • 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 strapband.
  • band 820 includes molding 802, plug 804, plug housing 806, button 808, control housing 812, and indicator lights 814 and 822.
  • 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 strapband having a second molding.
  • band 900 includes molding 902, plug 904, and button 906.
  • another ovcmiolding or protective material has been formed by injection molding, for example, molding 902 over band 900.
  • 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.
  • band 900 may be illustrative of a finished data-capable strapband (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.
  • 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.
  • 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.
  • plug 904 may be removed and instead replaced with a wireless communication facility that is protected by molding 902.
  • 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.
  • 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.
  • FIG. 9B illustrates a side view of an exemplary data-capable strapband.
  • band 910 includes molding 902, plug 904, and button 906.
  • 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 strapband.
  • 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 101 (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).
  • processor 1004 system memory 1006 (e.g., RAM), storage device 1008 (e.g., ROM), disk drive 101 (e.g., magnetic or optical), communication interface 1012 (e.g., modem or Ethernet card), display 1014 (e.g., C
  • computer system 1000 performs specific operations by processor 1004 executing one or more sequences of one 6r 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.
  • 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.
  • 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.
  • 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 tltat comprise bus 1002 for transmitting a computer data signal.
  • execution of the sequences of instructions may be performed by a single computer system 1000.
  • two or more computer systems 1000 coupled by communication link 1020 may perform the sequence of instructions in coordination with one another.
  • Communication link 1020 e.g., LAN, PSTN, or wireless network
  • - 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.
  • FIG. 1 1 A illustrates an exemplary process for media device content management using sensory input.
  • process 1 100 begins by receiving an input from one or more sensors that may be coupled to, integrated with, or are remote from (i.e., distributed on other devices that are in data communication with) a wearable device ( 1 102).
  • the received input is processed to determine a pattern ( 1 104). Once a pattern has been detercnined, then a compare, lookup, or other reference operation may be performed against a pattern library (i.e., a database or other storage facility configured to store data associated with one or more patterns) ( 1 1 6).
  • a pattern library i.e., a database or other storage facility configured to store data associated with one or more patterns
  • pattern library may be used to store patterns associated with movements, motion, moods, states, activities, events, or any other grouping of data associated with a pattern as determined by evaluating input from one or more sensors coupled to a wearable device (e.g., band 1 4 (FIG. 1 ), and others). If a given pattern is found in a pattern library, a control signal relating to the underlying activity or state may be generated and sent by a wearable device to a media application (e.g., an application that may be implemented using hardware, software, circuitry, or a combination thereof) that is configured to present media content ( 1 108). Based on the control signal, a media file may be selected and presented (1 1 10). For example, a given pattern.
  • a media application e.g., an application that may be implemented using hardware, software, circuitry, or a combination thereof
  • band 612 may be recognized by band 612 (FIG. 6A) as a shaking motion that is associated with playing a given list of music files (e.g., playlist).
  • band 612 may be configured to send a control signal to skip to the next music file (e.g., song) in the playlist.
  • any type of media file, content, or format may be used and is not limited to those described.
  • process 1 100 and the above-described elements may be varied in order, function, detail, or other aspects, without limitation to examples provided.
  • FIG. I I B illustrates an exemplary process for device control using sensory input.
  • process 1 120 begins by receiving an input from one or more sensors, which may be coupled to or in data communication with a wearable device (1 122). Once received, the input is processed to determine a pattern ( 1 124). Using the determined pattern, an operation is performed to reference a pattern library to determine whether a pre-defined or pre-existing control signal is identified (1 126). If a control signal is found that correlates to the determined pattern, then wearable device 612 (FIG. 6A) (e.g., data-capable strapband, or the like) may generate the identified control signal and send it to a given destination (e.g., another device or system in data communication with wearable device 612).
  • a given destination e.g., another device or system in data communication with wearable device 612).
  • wearable device 612 If, upon referencing a pattern library, a pre-defined or pre-existing control signal is not found, then another control signal may be generated and sent by wearable device 12. Regardless, after determining a control signal to send using input from one or more sensors, wearable device 612 generates the control signal for transmission to a device to cither provide a device or device content control or management function ( 1 128). In other examples, process 1 120 and the above-described elements may be varied in order, function, detail, or other aspects, without limitation to examples provided.
  • FIG. 1 I C illustrates an exemplary process for wearable device data security.
  • process 1 140 begins by receiving an input from one or more sensors, which may be coupled to or in data communication with a wearable device ( 1 142). Once received, the input is processed to determine a pattern (1 1 4). Using the determined pattern, an operation is performed to reference a pattern library to determine whether the pattern indicates a given signature that, for authentication purposes, may be used to perform or engage in a secure transaction (e.g., transferring funds or monies, sending or receiving sensitive personal information (e.g., social security numbers, account information, addresses, spousc/partner/childrcn information, and the like)) ( 1 146).
  • a secure transaction e.g., transferring funds or monies, sending or receiving sensitive personal information (e.g., social security numbers, account information, addresses, spousc/partner/childrcn information, and the like)
  • the signature may be transformed using various techniques (e.g., hash/hashing algorithms (e.g., MDA, SHA- 1 , and others, without limitation), checksum, encryption, encoding/decoding, and others, without limitation) into data formatted for transmission from wearable device 612 (FIG. 6A) to another device and/or application ( 1 148).
  • the data is transmitted from wearable device 612 to another device in data communication with the former ( 1 1 50).
  • the data may be transmitted to other destinations, including intermediate networking routing equipment, servers, databases, data storage facilities, services, web services, and any other type of system or apparatus that is configured to authenticate the signature (i.e., transmitted data), without limitation.
  • process 1 140 and the above-described elements may be varied in order, function, detail, or other aspects, without limitation to examples provided.
  • FIG. 1 I D illustrates an exemplary process for movement languages in wearable devices.
  • process 1 160 begins by receiving an input from one or more sensors, which may be coupled to or in data communication with a wearable device ( 1 162). Once received, the input is processed to determine a pattern ( 1 1 4). An inquiry may be performed to determine whether the pattern has been previously stored and, if not, it is stored as a new record in a database to indicate that a pattern is associated with a given set of movements, motions, activities, moods, states, or the like.
  • the new pattern may be discarded or used update the pre-deftned or pre-existing pattern.
  • patterns that conflict with those previously stored may be evaluated differently to determine whether to store a given pattern in a pattern library.
  • the patterns may be aggregated in movement library to develop a "movement language" (i.e., a collection of patterns that may be used to interpret activities, states, or other user interactions with wearable device 612 in order to perform various functions, without limitation (612)).
  • a "movement language” i.e., a collection of patterns that may be used to interpret activities, states, or other user interactions with wearable device 612 in order to perform various functions, without limitation (612).
  • process 1 160 and the above-described elements may be varied in order, function, detail, or other aspects, without limitation to examples provided.

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  • Computer Security & Cryptography (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Software Systems (AREA)
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Abstract

La présente invention concerne des techniques de sécurité des données d'un dispositif portable, consistant à recevoir une entrée d'un ou plusieurs capteurs couplés à un dispositif portable, chacun desdits un ou plusieurs capteurs étant configuré pour mesurer un ou plusieurs paramètres, traiter l'entrée pour déterminer un motif, consulter une bibliothèque de motifs en utilisant le motif pour identifier une signature, et transformer la signature en données à transmettre à un dispositif en communication de données avec le dispositif portable et configuré pour exécuter une fonction si les données sont authentifiées.
EP12797301.4A 2011-06-10 2012-05-31 Sécurité des données d'un dispositif portable Withdrawn EP2718805A1 (fr)

Applications Claiming Priority (10)

Application Number Priority Date Filing Date Title
US13/158,372 US20120313272A1 (en) 2011-06-10 2011-06-10 Component protective overmolding
US201161495997P 2011-06-11 2011-06-11
US201161495996P 2011-06-11 2011-06-11
US201161495995P 2011-06-11 2011-06-11
US201161495994P 2011-06-11 2011-06-11
US13/158,416 US20120313296A1 (en) 2011-06-10 2011-06-11 Component protective overmolding
US13/180,320 US8793522B2 (en) 2011-06-11 2011-07-11 Power management in a data-capable strapband
US13/180,000 US20120316458A1 (en) 2011-06-11 2011-07-11 Data-capable band for medical diagnosis, monitoring, and treatment
US13/181,500 US20120317024A1 (en) 2011-06-10 2011-07-12 Wearable device data security
PCT/US2012/040328 WO2012170283A1 (fr) 2011-06-10 2012-05-31 Sécurité des données d'un dispositif portable

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EP2718805A1 true EP2718805A1 (fr) 2014-04-16

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