Abstract: General health and wellness management techniques and devices are described including receiving data representing an activity profile defining parameters upon which a target activity score is established, acquiring sensor data representing acquired parameters based on sensors in a wearable computing device, determining values for the subsets of the acquired parameters based on reference values for the parameters set forth in the activity profile, establishing an ability profile using the values, the ability profile associated with a classification, calculating an activity score based on the values, detecting a difference between the activity score and the target activity score, modifying a rate at which the activity score accrues as a function of the difference, and presenting a representation of the activity score relative to the target activity score.

Abstract: An apparatus is described that includes an AV receiver with a wireless audio module (WAM) host. The apparatus further includes a plurality of wireless speakers each having a WAM device to enable bi-directional communications with the WAM host. The apparatus further includes a wireless input/output device or a plurality of wireless input/output devices embedded in speakers to enable bidirectional communications with the WAM host in order to automatically configure the plurality of wireless speakers to optimize audio parameters of the wireless speakers. The automatic configuration includes determining a location for each speaker in order to identify each speaker. The automatic configuration further includes setting time delay parameters for each speaker. The automatic configuration further includes setting volume parameters for each speaker.

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: Embodiments of the present application relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, wearable, hand held, portable computing devices for facilitating communication of information, and the fields of healthcare and personal health. More specifically the present application relates to a new and useful systems, methods and apparatus for estimating body fat in a user with applications in the healthcare and personal health fields. An electronic device, such as a portable electronic device (e.g., smartphone, pad, tablet, etc.) may include software (e.g., an APP) to implement body fat estimates of a user and may use hardware and/or software resident in the electronic device (e.g., display, accelerometer, gyroscopes, transducers, vibration engines, speakers, microphones, GPS capability, etc.) to aid a user in placing the electronic device at instructed location on the user's body and to apply an impulse to the body at instructed locations.

Abstract: Embodiments of the present application relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, wearable, hand held, portable computing devices for facilitating communication of information, and the fields of healthcare and personal health. More specifically the present application relates generally to the field of personal health, and more specifically to new and useful systems and methods for monitoring the health of a user as applied to the field of healthcare and personal health. A system optically detects facial features of a user and analyzes the features along with weight information about the user to make one or more recommendations to the user that are related to the user's health. The weight information may be wirelessly transmitted to the system by a wirelessly-enabled scale (e.g., a bath scale), data capable strap band, wristband, wristwatch, digital watch, or wireless activity monitoring and reporting device.

Abstract: Techniques associated with a platform for providing wellness assessments and recommendations using sensor data are described, including collecting local sensor data using a wearable device having a communication facility configured to connect to a network, accessing environmental data from third party databases, generating a wellness assessment using a rules based engine configured to process the local sensor data, the environmental data and historical user data, and generating a wellness recommendation using the wellness assessment.

Abstract: Systems and methods are described by which microphones comprising a mechanical filter can be accurately calibrated to each other in both amplitude and phase.

Abstract: Embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and wearable computing devices in capturing and deriving physiological characteristic data. More specifically, an array of electrodes and methods are configured to determine physiological characteristics using a wearable device (or carried device) that may be subject to motion. In one embodiment, an array of electrodes is disposed substantially in a wearable housing. At least a portion of the array including electrodes configured to either drive a first signal to a target location or receive a second signal from the target location. The second signal includes data representing one or more physiological characteristics. A sensor selector is configured to identify a subset of the electrodes adjacent to the target location and to select the subset of the electrodes from which to receive a sensor signal that includes data representing one or more physiological characteristics.

Abstract: Techniques associated with a wearable device and method to generate biometric identifier for authentication using near-field communications are described, including capturing data associated with a habitual activity, a physiological characteristic, and a motion pattern using a wearable device, generating a biometric identifier using the data, storing the biometric identifier on the wearable device, and authenticating a user using the biometric identifier.

Abstract: Embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and wearable computing devices for facilitating health and wellness-related information, and more particularly, to an apparatus or method for using a wearable device (or carried device) having sensors to identify a wearer and/or generate a biometric identifier for security and authentication purposes (e.g., using the generated biometric identifier similar to a passcode). In one embodiment, a method includes determining a pattern of activity based on a first activity and a second activity, comparing data representing the pattern of activity against match data associated with a habitual activity, and authenticating an identity of a user associated with a wearable device.

Abstract: Data-capable personal worn or carried device can be used to detect sedentary activity for facilitating achievement of health and wellness goals. In one embodiment, a method includes receiving data representing an activity originating from a wearable device, determining the data representing the activity is a sedentary activity, and characterizing the sedentary activity based on a sedentary characteristic of the sedentary activity. Also, the method can initiate generation of notification alert information indicative of the presence of a value associated with the sedentary characteristic. In some embodiment, the method can cause a vibratory energy source in the wearable device to impart the notification alert information (e.g., haptically).

Abstract: Embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and wearable computing devices for facilitating health and wellness-related information, and more particularly, to an apparatus or method for using a wearable device (or carried device) having sensors to identify a wearer and/or generate a biometric identifier for security and authentication purposes (e.g., using the generated biometric identifier similar to a passcode). In some embodiments, a biometric validator is included to validate the accuracy of the biometric identifier to authenticate the identity of the user. The biometric validator can determine conditions in which the biometric identifier is invalid (e.g., when a wearable device is no longer worn by a user).

Abstract: Various embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and computing devices, including mobile and wearable computing devices, and more specifically, to devices and techniques for assessing affective states of a user based on data derived from, for example, a wearable computing device. In one embodiment, an apparatus including a wearable housing configured to couple to a portion of a limb at its distal end, a subset of physiological sensors and a processor configured to execute instructions configured to calculate a portion of an intensity associated with an affective state for each of the physiological, form an intensity value based on the portions of the intensity and determine a polarity value of the intensity value. The apparatus is further configured to determine the affective state, for example, as a function of the intensity value and the polarity value of the intensity value.

Abstract: Microphone arrays (MAs) are described that position and vent microphones so that performance of a noise suppression system coupled to the microphone array is enhanced. The MA includes at least two physical microphones to receive acoustic signals. The physical microphones make use of a common rear vent (actual or virtual) that samples a common pressure source. The MA includes a physical directional microphone configuration and a virtual directional microphone configuration. By making the input to the rear vents of the microphones (actual or virtual) as similar as possible, the real-world filter to be modeled becomes much simpler to model using an adaptive filter.

Abstract: A microphone array is described for use in ultra-high acoustical noise environments. The microphone array includes two directional close-talk microphones. The two microphones are separated by a short distance so that one microphone picks up more speech than the other. The microphone array can be used along with an adaptive noise removal program to remove a significant portion of noise from a speech signal of interest.