Abstract: Techniques for movement languages in wearable devices are described, including Receiving input from a sensor coupled to a wearable device, processing the input to determine a pattern, the pattern associated with a movement, referencing a pattern library stored in a database to compare the pattern to a set of patterns in the pattern library, and performing an operation based on a comparison of the pattern to the set of patterns.

Abstract: Spatial and temporal vector analysis in wearable devices using sensor data are described, including evaluating a motion to determine motion signals, the motion being evaluated using data provided by one or more sensors in data communication with a wearable device, isolating motion signals into one or more motion sub-signals, determining a spatial vector and a temporal vector associated with each of the one or more motion sub-signals, and transforming the spatial vector and the temporal vector into a data structure to be used by an application configured to analyze the data structure and to generate content associated with the motion.

Abstract: Health and wellness management techniques and devices are described including receiving data representing an activity profile defining parameters upon which a target score is established, acquiring sensor data representing subsets of acquired parameters based on sensors disposed in a wearable computing device, including an accelerometer configured to provide motion data as a portion of the sensor data, determining values for the subsets of the acquired parameters based on reference values for the parameters set forth in the activity profile, calculating an activity score based on the values, the activity score representing an attained portion of health-related activities, detecting a difference between the activity score and the target score, the difference exceeding a threshold, modifying a rate at which the activity score accrues as a function of the difference, and causing presentation of a representation of an overall score.

Abstract: General health and wellness management techniques and devices are configured for use with a data-capable personal worn or carried device. In one embodiment, a method receiving data representing a profile upon which a target score is established based on one or more health-related activities, and acquiring data representing one or more subsets of acquired parameters based on, for example, one or more sensors disposed in a wearable computing device. The method can include determining data representing values for the one or more subsets of the acquired parameters based on reference values for the parameters set forth in the profile and calculating at a first processor a score based on data representing the values. The score represents an attained portion of the one or more health-related activities. In some cases, the method includes causing presentation of a representation of the score relative to the target score.

Abstract: Sleep management techniques and devices are configured for use with a data-capable personal worn or carried device. In one embodiment, a method includes receiving data representing a sleep profile defining parameters upon which a target score is established, and acquiring data representing acquired parameters associated with sleep activity. The method also includes determining a first score for a first acquired parameter, determining a second score for a second acquired parameter, and calculating at a processor a sleep score based on data in a memory including the first score and the second score. Further, the method includes causing presentation of a representation of the sleep score to indicate either an attainment of the target score or a deviation therefrom.

Abstract: Nutrition management techniques and devices are configured for use with a data-capable personal worn or carried device. In one embodiment, a method includes receiving data representing a nutrition profile defining parameters upon which a target score is established. The method includes acquiring data representing acquired parameters associated with nutrition of consumable material components, such as food or drink, and determining data representing values for a first subset of acquired, the values representing a first quantum of nutrition associated with a first subset of consumable materials based on the nutrition profile. The method also includes calculating a nutrition score based on data representing the values, and adjusting the nutrition score based on threshold amounts for one or more of the values. In some embodiments, the method includes causing presentation of a representation a nutrition score as, for example, an indicia of contributions of nutrition on health and wellness.

Abstract: Activity attainment techniques and devices are configured for use with a data-capable wearable or carried device. In one embodiment, a method includes receiving data representing an activity profile including one or more activities, an activity including data representing a quantity of motion actions, a quantity of time units and an activity type configured to combine to establish a target score. The method includes acquiring data representing parameters associated with activities, determining a first score for a first activity associated with the activity profile, determining a second score for a second activity, and calculating an activity score at a processor. Also, the method can include modifying the activity profile to change the target score, and causing presentation of a representation of the activity score or a derivative value thereof.

Abstract: Techniques for sensory user interface are described, including receiving a sensory input at a sensor coupled to a wearable device, converting the sensory input into data using the sensor and the processor, processing the data to generate a representation of a state, evaluating the representation to determine if an action is indicated, and performing the action if indicated based on an evaluation of the representation.

Abstract: A wellness application for a personal wearable data-capable band is described, including an aggregation engine configured to aggregate user activity data from a plurality of sources, the aggregation engine comprising one or more modules configured to process the user activity data to determine an aggregate value, and a user interface configured to display a graphical representation using the aggregate value.

Abstract: Techniques for device control using sensory input are described, including receiving input from one or more sensors, processing the input to determine a pattern, referencing a pattern against a pattern library, the pattern library indicating a device in data communication with a wearable device coupled to the one or more sensors, and generating a control signal to the device, the control signal being configured to initiate execution of one or more functions of the device.

Abstract: Techniques for a wearable device and platform for sensory input are described, including a sensor coupled to the wearable device, the sensor capable of sensing a sensory input, a processor configured to transform the sensory input to data, the data being processed by an application configured to determine an activity being performed and to generate information associated with the activity being performed while the wearable device is worn, the activity being determined using a motion matcher configured to generate a motion profile associated with the activity, the motion profile configured to be accessed and modified when the activity is performed again, and a communications facility coupled to the wearable device and configured to transfer the data between the wearable device and another device, the data being configured to be presented on a user interface on the wearable device during the performance of the activity.

Abstract: Techniques for a wearable device and platform for sensory input are described, including a sensor coupled to a framework having a housing having one or more moldings, the sensor being configured to sense at least one sensory input, a processor configured to transform the at least one sensory input to data during an activity in which the wearable device is worn, and a communications facility coupled to the wearable device and configured to transfer the data between the wearable device and another device during the activity, the data being configured to be presented on a user interface.

Abstract: Embodiments of the invention relates generally to electrical and electronic hardware, computer software, wired and wireless network communications, and computing devices, and more specifically to structures and techniques for managing power generation, power consumption, and other power-related functions in a data-capable strapband. Embodiments relate to a wearable band including sensors, a controller coupled to the sensors, an energy storage device, a power port configured to receive power and control signals, and a power manager. The power manager includes at least a transitory power manager configured to control an application of power to one or more components of the wearable band in one or more power modes. The band can be configured as a wearable communications device and sensor platform.

Abstract: General health and wellness management techniques and devices are configured for use with a data-capable personal worn or carried device. In one embodiment, a method receiving data representing a profile upon which a target score is established based on one or more health-related activities, and acquiring data representing one or more subsets of acquired parameters based on, for example, one or more sensors disposed in a wearable computing device. The method can include determining data representing values for the one or more subsets of the acquired parameters based on reference values for the parameters set forth in the profile and calculating at a first processor a score based on data representing the values. The score represents an attained portion of the one or more health-related activities. In some cases, the method includes causing presentation of a representation of the score relative to the target score.

Abstract: Techniques for media device, application, and content management using sensory input are described, including receiving input from one or more sensors coupled to a data-capable strapband, processing the input to determine a pattern, referencing a pattern library using the pattern, generating a control signal to a media application, the control signal being determined based on whether the pattern matches another pattern in the pattern library, and selecting a media file configured to be presented, the media file being selected using the control signal.

Abstract: Embodiments of the invention relates generally to electrical and electronic hardware, computer software, wired and wireless network communications, and computing devices, and more specifically to structures and techniques for managing power generation, power consumption, and other power-related functions in a data-capable strapband. Embodiments relate to a band including sensors, a controller coupled to the sensors, an energy storage device, a connector configured to receive power and control signals, and a power manager. The power manager includes at least a transitory power manager configured to manage power consumption of the band during a first power mode and a second mode. The band can be configured as a wearable communications device and sensor platform.

Abstract: A data-capable band for medical diagnosis, monitoring, and treatment is described, including one or more sensors configured to gather data associated with diagnosis, monitoring or treatment of a medical condition, an application configured to determine the medical condition using the data gathered by the sensors, a memory configured to store the data and the application, and a notification facility configured to provide an array of notifications in relation to the monitoring and treatment of the medical conditions. The notifications may be alarms, may be designed to prompt movement, or may be associated with a drug regimen.

Abstract: Techniques for wearable device data security are described, including receiving input from one or more sensors coupled to a wearable device, each of the one or more sensors being configured to measure one or more parameters, processing the input to determine a pattern, referencing a pattern library using the pattern to identify a signature, and transforming the signature into data to be transmitted to a device in data communication with the wearable device and configured to perform a function if the data is authenticated.

Abstract: A personal advisor system using a data-capable band including a personal advisor distributed application comprising a feedback engine configured to process user activity data from a source device, the source device comprising at least one data-capable band; a recommendation module configured to generate a wellness recommendation using the user activity data; a personal offer module configured to generate a personal wellness offer using the user activity data; and a notification module configured to generate a feedback notification comprising one or more of the wellness recommendation and the personal wellness offer. The feedback engine is operable to communicate the feedback notification to the source device, if the source device is active, or to a non-source device upon request from the non-source device.

Abstract: A wellness system including a personal wearable data-capable band is described. In some examples, a wellness system may include an aggregation engine configured to aggregate user activity data from sources, a feedback engine configured to process the user activity data, the feedback engine operable to communicate a feedback notification to a source device including at least one of the sources, and a user interface configured to display a graphical representation associated with an aggregate value determined from the user activity data and the feedback notification. In other examples, a method using a wellness system may include receiving user activity data from sources, processing the user activity data using an aggregation engine to determine an aggregate value, generating a graphical representation using the aggregate value, and displaying the graphical representation using a user interface.