Abstract: Various embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and wearable computing and audio devices for monitoring and managing health and wellness. More specifically, disclosed are methods, interfaces, and computer-readable media to generate predictive consumable recommendations and indicators to determine nutrient density of health-promoting nutrients in consumables, such as food, drink, supplements, and the like. In one or more embodiments, a flow includes identifying nutritional content of one or more consumables, selecting a first element of the one or more consumables, identifying the first element as a first nutrient, and identifying a second element of the one or more consumables. Further, the flow includes characterizing an association between the first nutrient and the second element, and determining an indicator indicative of a nutrient density of at least the first element included in the one or more consumables.

Abstract: Embodiments herein relate generally to sensory input for wearable devices and, more particularly, to monitor and provide feedback from wearable devices. In one example, a method for monitoring and feedback can include receiving data representing a physiological reference profile, associating the data representing the physiological reference profile with a first physiological state, acquiring data representing a physical characteristic or a physiological characteristic, or both, from one or more sensors disposed in a wearable device, correlating data representing the physical characteristic or the physiological characteristic, or both, with data representing the physiological reference profile to determine a physiological anomaly, associating the physiological anomaly with a second physiological state, and determining data representing a first amount of a remedy based on the physiological anomaly to effectuate a change from the second physiological state to the first physiological state.

Abstract: A wireless wearable device to passively detect fatigue in a user may include a suite of sensors including but not limited to accelerometry sensors for generating motion signals in response to a user's body motion, force sensors for generating force signals in response to force exerted by a body portion on the force sensor, and biometric sensors for generating biometric signals indicative of biometric activity including GSR, EMG, bioimpedance, image sensors, and arousal in the SNS. The suit of sensors may operate to passively determine, one or more of TRHR, systemic inflammation (I), contraction (C) (e.g., due to dehydration), stress, fatigue, and mood without any intervention or action on part of the user. The suite of sensors may comprise sensors distributed among a plurality of wireless wearable devices that are wirelessly linked and may share sensor data and data processing in making determinations of fatigue in the user.

Abstract: Techniques for dynamic computation of distance of travel on wearable devices are described. Disclosed are techniques for receiving motion data over context windows from one or more sensors coupled to a wearable device, determining a number of motion units of each context window, determining a motion unit length of each context window as a function of the number of motion units of each context window and a duration of each context window, determining a distance of travel of each context window, and determining a total distance of travel over all context windows. The motion unit length of each context window is variable from the motion unit length of another context window. In some embodiments, the total distance of travel is presented on an interface coupled to the wearable device.

Abstract: Techniques for dynamic computation of distance of travel on wearable devices are described. Disclosed are techniques for determining a number of motion units over a distance for one or more samples, determining a motion unit length of each sample, and creating a model determining a motion unit length as a function of a number of motion units and a duration of the motion units. Further disclosed are techniques for receiving motion data of a user from one or more sensors coupled to the wearable device, accessing the model to determine a motion unit length of the user, and determining a distance of travel of the user, and initiating execution of an operation of the wearable device based on the distance of travel of the user. In one embodiment, the model may be adjusted or calibrated. In another embodiment, the determination of the distance of travel may be verified or corrected.

Abstract: A wireless wearable device to passively detect a true resting heart rate (TRHR) of a user may include a suite of sensors including but not limited to accelerometry sensors for generating motion signals in response to a user's body motion, force sensors for generating force signals in response to force exerted by a body portion on the force sensor, and biometric sensors for generating biometric signals indicative of biometric activity in the body including GSR, EMG, bioimpedance, and arousal in the SNS. The suite of sensors may operate to passively determine (e.g., in real time), one or more of TRHR, systemic inflammation (I), contraction (C) (e.g., due to dehydration), stress, fatigue, and mood without any intervention or action on part of the user. The suite of sensors may comprise sensors distributed among a plurality of wireless wearable devices that are wirelessly linked and may share sensor data and data processing.

Abstract: A wireless data capable strapband operative to detect inflammation, true resting heart rate (TRHR), and fatigue of a user may include sensors for generating motion signals in response to body motion (e.g., accelerometry), for generating force signals in response to force exerted by a body portion, for generating biometric signals indicative of biometric activity in the body (e.g., heart rate, respiration, arousal), and for generating location signals based on user location. The sensor signals may be processed to monitor parameters that may positively or negatively impact a state of sleep of the user (e.g., time of sleep, quality of sleep, hydration, inflammation, contraction, fatigue, TRHR, accelerometry, arousal of the SNS, etc.). Data from the processed signals may be presented (e.g., visually, sound, email, text message, tactile, webpage, etc.) to the user in a format (e.g., reports notifications, coaching, avoidance) intended to instruct/encourage the user to improve their state of sleep.

Abstract: A wearable ring (e.g., on a digit of a hand and/or a toe of a foot) may include sensors for generating motion signals in response to a user's body motion, for generating force signals in response to force exerted by a body portion, for generating biometric signals indicative of biometric activity in the body (e.g., heart rate, respiration, arousal), and for generating location signals based on user location. The sensor signals may be processed to monitor parameters that may positively or negatively impact a state of sleep of the user (e.g., time of sleep, quality of sleep, hydration, inflammation, contraction, fatigue, TRHR, accelerometry, arousal of the SNS, etc.). Data derived from the processed signals may be presented (e.g., visually, sound, email, text message, tactile, webpage, etc.) to the user in a format (e.g., reports, notifications, coaching, avoidance, mood) intended to instruct/encourage the user to improve their state of sleep.

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: Techniques for data-capable band management in association with, for example, an autonomous advisory application and network communication data environment are described. In some examples, a method can detect a signal configured to initiate a synchronization function being transmitted from a wearable computing device to an application, as an example. In some cases, a method can include performing a synchronization function to, for example, transfer data from the wearable computing device to the application. Further, a method can include causing presentation to an interface on a computing device to display information associated with a wearable computing device, as determined by the data transferred to the application, for example, after a synchronization function is performed and/or a type of motion is synchronized.

Abstract: Techniques for data-capable band management in an integrated application and network communication data environment are described, including receiving input from one or more sensors coupled to a wearable computing device, receiving a parameter used to determine when a synchronization between the wearable computing device and a device in data communication with the wearable computing device is to be performed, processing the input to determine if the parameter is satisfied, performing the synchronization between the wearable computing device and the device if the parameter is satisfied, and presenting an interface on the device, the interface being configured to display information associated with the synchronization.

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: Techniques for media device, application, and content management using sensory input determined from a data-capable watch band 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: Techniques for determining a state of a user using wearable devices are described, including receiving motion-related data from a first sensor and user-related data from a second sensor, determining a state of a user as a function of the motion-related data and the user-related data, and displaying a graphic associated with the state of the user at a graphical user interface. The first sensor and the second sensor may be coupled to a wearable device. The user-related data may include galvanic skin response data. The graphic associated with the state of the user may be displayed at a web browser.

Abstract: Techniques for determining a state of a user using wearable devices are described, including receiving motion-related data from a first sensor and user-related data from a second sensor over a time period, determining a plurality of states of a user over the time period as a function of the motion-related data and the user-related data, determining a trend as a function of the plurality of states of the user, and displaying information associated with the trend at a user interface. The first sensor and the second sensor may be coupled to a wearable device. The user-related data may include galvanic skin response data. The information associated with the trend may be displayed at a web browser.

Abstract: Techniques for motion profiles in wearable devices are described, including receiving motion-related data, user-related data, and environmental-related data from one or more sensors coupled to one or more wearable devices, forming a motion profile using the motion-related data, determining an activity using the motion profile, the user-related data, and the environmental-related data, the activity comprising sleep, and setting a mode of operation of one of the one or more wearable devices to a sleep mode, the mode of operation being configured to be set to one of the sleep mode and another mode. A sampling rate of one of the one or more sensors in the sleep mode may be set to be lower than the sampling rate of the one of the one or more sensors in the another mode.

Abstract: Techniques for data-capable band management in an integrated application and network communication data environment are described, including receiving input from one or more sensors coupled to a wearable computing device, processing the input to generate a control signal, the control signal being configured to initiate execution of one or more operations of a device in data communication with the wearable computing device, and initiating a data communication protocol, the data communication protocol being configured to transmit the control signal from the wearable computing device to the device.

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

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

Abstract: Techniques for data-capable band management in an integrated application and network communication data environment are described, including storing in memory a first operational mode and a second operational mode, the first operational mode being associated with a parameter and being configured to operate on an input received from one or more sensors coupled to a wearable computing device using a rule, setting the second operational mode, receiving data at the wearable computing device, the data comprising the input received from the one or more sensors while in the second operational mode, generating a signal indicating whether the data matches the parameter of the first operational mode substantially within a tolerance, classifying the input as received in the first operational mode if the signal indicates the data matches the parameter substantially within the tolerance, and performing an operation on the input using the rule of the first operational mode.