Abstract: Techniques for component protective overmolding using protective external coatings include selectively applying a protective material substantially over one or more elements coupled to a framework configured to be worn, the elements including at least a sensor, and forming one or more moldings substantially over a subset or all of the framework, the protective material and the elements, after the protective material has been selectively applied, at least one of the one or more moldings having a protective property.

Abstract: Techniques for data-capable band management in an integrated application and network communication data environment are described, including receiving a first input and a second input from one or more sensors coupled to a wearable computing device, processing the first input to determine a pattern, processing the second input to determine an environmental condition, referencing the pattern against a pattern library, the pattern library indicating a threshold for the environmental condition, generating a signal indicating whether the environmental condition exceeds the threshold, and generating a control signal, the control signal configured to initiate execution of an operation if the signal indicates the environmental condition exceeds the threshold.

Abstract: Systems and methods to reduce the negative impact of wind on an electronic system include use of a first detector that receives a first signal and a second detector that receives a second signal. A voice activity detector (VAD) coupled to the first detector generates a VAD signal when the first signal corresponds to voiced speech. A wind detector coupled to the second detector correlates signals received at the second detector correlates signals received at the second detector and derives from the correlation wind metrics that characterize wind noise that is acoustic disturbance corresponding to at least one of air flow and air pressure in the second detector. The wind detector controls a configuration of the second detector according to the wind metrics. The wind detector uses the wind metrics to dynamically control mixing of the first signal and the second signal to generate an output signal for transmission.

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: 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: 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: 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: 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: Techniques associated with a wearable device structure with enhanced motion detection by a motion sensor are described, including a band configured to be worn, a nodule coupled to the band, the nodule including a structure configured to enhance detection of movement of an adjacent skin surface, the structure having an articulator configured to rotate in a plurality of planes, and a sensor coupled to the structure and configured to detect rotational 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 based on health-related activities, acquiring sensor data representing subsets of acquired parameters based on sensors disposed 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, calculating an activity score based on the values, the activity score representing an attained portion of the health-related activities, causing presentation of a representation of an overall score comprising the activity score, adjusting a determination upon which to modify the target score, the target score being indicative of one or more standards against which to compare one or more groups of values aggregated to form the target score, and modifying the activity profile using an activity profile manager.

Abstract: Health and wellness management techniques and devices are described including receiving data representing a nutrition profile defining parameters upon which a target score is established based on nutrition consumption, acquiring other data representing subsets of acquired parameters, determining values for the subsets of the acquired parameters based on reference values for the parameters set forth in the nutrition profile, calculating a nutrition score based on the values, determining a magnitude of a difference between the nutrition score and the target score, predicting a subset of the acquired parameters to reduce the difference between the nutrition score and the target score, the subset of the acquired parameters being predicted based on at least one of an environmental parameter and a social parameter, and causing generation of a representation of a recommendation to engage in nutrition intake.

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: A new type of headset that employs adaptive noise suppression, multiple microphones, a voice activity detection (VAD) device, and unique mechanisms to position it correctly on either ear for use with phones, computers, and wired or wireless connections of any kind is described. In various embodiments, the headset employs combinations of new technologies and mechanisms to provide the user a unique communications experience.

Abstract: Health and wellness management techniques and devices are described including receiving data representing a nutrition profile defining parameters upon which a target score is established based on nutrition consumption, acquiring data representing subsets of acquired parameters, determining values for the subsets of the acquired parameters based on reference values for the parameters set forth in the nutrition profile, calculating a nutrition score based on the values, causing presentation of a representation of an overall score comprising the nutrition score, determining a nutrition deficiency, and generating data representing a recommendation associated with the nutrition deficiency.

Abstract: 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 based on one or more health-related activities, acquiring sensor data representing subsets of acquired parameters based on sensors disposed 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, calculating an activity score based on the values, determining a context score based on at least one of an environmental parameter and a social parameter, forming an adjusted score using the context score, determining an time for a performance of an activity, and generating a representation of a recommendation to perform the activity at the time, the representation generated prior to the time.

Abstract: Acoustic Voice Activity Detection (AVAD) methods and systems are described. The AVAD methods and systems, including corresponding algorithms or programs, use microphones to generate virtual directional microphones which have very similar noise responses and very dissimilar speech responses. The ratio of the energies of the virtual microphones is then calculated over a given window size and the ratio can then be used with a variety of methods to generate a VAD signal. The virtual microphones can be constructed using either an adaptive or a fixed filter.

Abstract: Embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and wearable computing devices for sensing health and wellness-related physiological characteristics. More specifically, disclosed is a physiological sensor using, for example, acoustic signal energy to determine physiological characteristics in one mode, such as a heart rate, the physiological sensor being disposed in a wearable device (or carried device), and generating data communication signals using acoustic signal energy in another mode. The physiological sensor also can be configured to receive data communication signals. In at least one embodiment, an apparatus includes one or more multimodal physiological sensors configured to receive physiological signals in a first mode and at least generate data communication signals in a second mode.

Abstract: Health and wellness management techniques and devices are described including receiving data representing a nutrition profile defining parameters upon which a target score is established based on nutrition consumption, acquiring other data representing subsets of acquired parameters, each of the subsets of acquired parameters comprising a type of parameter and a unit of the acquired parameter, determining values for the subsets of the acquired parameters based on reference values for the parameters set forth in the nutrition profile, calculating a nutrition score based on the values, causing presentation of a representation of an overall score comprising the nutrition score relative to the target score, associating a classification with the nutrition score, determining a difference between the nutrition score and the target score, and changing the classification based upon the difference.

Abstract: Embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and wearable computing devices for sensing health and wellness-related information. More specifically, disclosed is a physiological sensor using, for example, acoustic signal energy to determine physiological characteristics, such as a heart rate, the physiological sensor being disposed in a wearable device (or carried device). In one embodiment, a physiological signal generator is disposed substantially in a wearable housing. At least a portion of a skin surface microphone (“SSM”) including a piezoelectric sensor is configured to receive acoustic signals. The wearable housing is configured to position the SSM to receive an acoustic signal originating from human tissue. The physiological signal generator is configured to receive a piezoelectric signal based on an acoustic signal, and to generate a physiological signal including data representing a heartbeat or heart rate.

Abstract: Acoustic Voice Activity Detection (AVAD) methods and systems are described. The AVAD methods and systems, including corresponding algorithms or programs, use microphones to generate virtual directional microphones which have very similar noise responses and very dissimilar speech responses. The ratio of the energies of the virtual microphones is then calculated over a given window size and the ratio can then be used with a variety of methods to generate a VAD signal. The virtual microphones can be constructed using either an adaptive or a fixed filter.