Abstract: An application (APP) executing in a processor of a host device, may receive an electronic message (EM) that may include a handle for an address associated with the host device or a user of the host device, and a data payload that identifies content to be played back on a media device in communication (e.g., wirelessly) with the host device. An electronic messaging service may receive EM's addressed to the handle and may broadcast (e.g., wirelessly) the EM's. EM's received by the host device may be parsed by the APP to extract the handle and data payload. Data in the data payload may be used to search a content source for content to be communicated (e.g., wirelessly) for playback on the media device. Content specified in data payloads of EM's from one or more client devices (e.g., smartphones, tablets, pads) may be queued for playback on the media device.

Abstract: Embodiments of the present application relate generally to wireless electronics, wireless portable electronics, wireless media presentation devices, audio/video systems, and more specifically to passive or active RF proximity detection of wireless client devices in an environment that may or may not include wireless access points. A wireless client device may be forced, triggered, or configured to broadcast a wireless scan (e.g., an active WiFi scan) that includes data (e.g., packets) that may be discovered by a wireless media device (e.g., received by RF circuitry in the media device) and information from the wireless scan may be used by the wireless media device to detect presence of the wireless client device and/or its user, to establish a wireless data communications link with the wireless client device, to determine proximity of the wireless client device to the wireless media device, and for near field communication (NFC) with the wireless client device.

Abstract: A dual omnidirectional microphone array noise suppression is described. Compared to conventional arrays and algorithms, which seek to reduce noise by nulling out noise sources, the array of an embodiment is used to form two distinct virtual directional microphones which are configured to have very similar noise responses and very dissimilar speech responses. The only null formed is one used to remove the speech of the user from V2. The two virtual microphones may be paired with an adaptive filter algorithm and VAD algorithm to significantly reduce the noise without distorting the speech, significantly improving the SNR of the desired speech over conventional noise suppression systems.

Abstract: A strap band including a flexible wire bus having electrodes and wires coupled with the electrodes is described. The wire bus may be encapsulated in the strap band by a molding process. The wire bus may determine electrode positions relative to each other and other structure coupled with the strap band. The strap band may be coupled with a device that includes circuitry that drives signals on to some of the electrodes and receives signals from non-driven electrodes. The electrode spacing and strap band dimensions may be selected to form a strap band that may accommodate a wide range of user body sizes for a target region the electrodes are positioned in contact with.

Abstract: Embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and computing devices, and, in particular, to near-field antenna structures and formation methods for a wearable pod and/or device implementing a touch-sensitive interface in a metal pod cover. According to an embodiment, forming a wearable pod includes selecting a cradle having an attachment portion, forming an anchor portion to bind to the cradle and to an elastomer. The anchor portion includes a channel to provide support. Further, the method includes selecting an antenna having a width dimension sized less than a width dimension of the channel, disposing a portion of the antenna in the channel, and implementing terminals of the antenna coupled to circuitry of a near-field communication device.

Abstract: Device-based activity classification using predictive feature analysis is described, including evaluating an indicator associated with a predictive feature, identifying an application, using the name, to be performed, and invoking the application, the application being configured to interpret the indicator to determine an operation to perform at one or more levels of a protocol stack using data generated from evaluating a signal detected by a sensor, the sensor being coupled to a wearable device, and the application being configured to perform the operation using other data generated from evaluating another signal detected by another sensor, the another sensor being substantially different than the sensor.

Abstract: A strap band including a flexible wire bus having electrodes and wires coupled with the electrodes is described. The strap band may be coupled with a device that includes circuitry configured to drive signals on some of the electrodes and receive signals from non-driven electrodes. The signal frequency applied to driven electrodes may be varied to increase/decrease signal penetration depth to sense different body structures positioned at different depths in the body portion. Different frequencies for different types of measurements may be selected to optimize sensing of bio-impedance, galvanic skin response, hear rate, respiration, heart rate variability, hydration, inflammation, stress, and arousal in sympathetic nervous system. A system clock frequency may be one of the frequencies used. A magnitude of the drive signal, a gain on the received signal or both, may be adjusted based on the frequency selected and/or to sense signals from the body structure(s) of interest.

Abstract: Automated optical inspection of a wearable device and/or sub-assemblies of the wearable device in-situ in an ambient environment where temperature and ambient lighting are need not be controlled are described. A key gold unit for the wearable device or a subassembly of the wearable device may be mounted to an automated optical inspections system that captures images of the key gold unit, converts the image from a color space it was captured in to a Hue, Saturation and Value/Brightness color space. Units under test are imaged while stationary or while being rotated (e.g., 360 degrees) and are imaged. Image data is converted into the Hue, Saturation and Value/Brightness color space and compared with the data from the key gold unit to determine if the unit under test is color matched with the key gold unit. Functionality such as near field communications, capacitive touch, display functionality and others may be tested.

Abstract: A strap band including a flexible wire bus having electrodes and wires coupled with the electrodes is described. The strap band may be coupled with a device that includes circuitry configured to drive signals on some of the electrodes and receive signals from pickup electrodes. Driven electrodes are coupled with drive signals at different frequencies that may be varied to increase or decrease signal penetration depth to sense different body structures positioned at different depths in a body portion be sensed. Different frequencies for different types of measurements may be selected to optimize sensing different biometric parameters, such as bio-impedance, galvanic skin response, hear rate, respiration, heart rate variability, hydration, inflammation, stress, and arousal in sympathetic nervous system at different depths (e.g., layers or strata) in the body portion, for example. A first set of driven/pickup electrodes may sense different biometric parameters than a second set of driven/pickup electrodes.

Abstract: Device-based activity classification using predictive feature analysis is described, including receiving a signal from a sensor coupled to a device, the sensor being configured to detect the signal over a time period and to detect motion, evaluating the signal to generate data, the data being used to indicate motion, the data being further evaluated to select a classifier based on whether the motion is detected, activating another sensor coupled to the device, the another sensor being configured to detect another signal that is substantially different than the signal, the another signal being used to generate other data associated with whether the motion is detected, invoking the classifier, the classifier being configured to evaluate a predictive feature to identify a type associated with whether the motion is detected, the predictive feature invoking an application configured to determine the type and a state using a feature interpreter, and processing the data using the application and the feature interpre

Abstract: A strap band including a flexible wire bus having electrodes and wires coupled with the electrodes is described. The strap band may be coupled with a device that includes circuitry configured to drive signals on some of the electrodes and receive signals from non-driven electrodes. The electrode spacing and strap band dimensions may be selected to form a strap band that may accommodate a wide range of user body sizes for a target region the electrodes are positioned in contact with. The electrodes may be composite electrodes having multiple layers of conductive material in which an outermost layer is made from a material operative as an ion exchange layer. The ion exchange layer in contact with an electrolyte layer of a body portion may be operative to reduce motion artifact induced impedance and increase a signal to noise ratio for bio-impedance circuitry or other biometric circuitry coupled with the electrodes.

Abstract: Device-based activity classification using predictive feature analysis is described, including receiving a signal from a sensor configured to measure a heart rate coupled to a device, the sensor being configured to sense the signal over a time period, evaluating the signal to generate data associated with the heart rate, the data being further evaluated to select a classifier, invoking the classifier, the classifier being configured to evaluate the data to identify a predictive feature, the predictive feature invoking an application configured to determine a state using a feature interpreter, the application also being configured to evaluate other data from another signal, the signal being configured to detect a respiration rate, and processing the data and the other data using the application and the feature interpreter to generate information associated with sleep, the information being configured to display on an interface associated with the device.

Abstract: Embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and computing devices. More specifically, a wearable pod and/or device and processes to form the same facilitate implementation of a touch-sensitive interface in association with a predominately opaque surface. According to an embodiment, a wearable pod includes a first pod cover, a cradle including attachment points, and a touch-sensitive detector disposed in the cradle and configured to detect a change in capacitance to a range of capacitance values. Further, the wearable pod may include a second pod cover and an isolation belt to electrically isolate at least a portion of a pod cover from the other pod cover.

Abstract: Embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and computing devices, and, in particular, to a wearable device implementing a touch-sensitive interface in a metal pod cover and/or bioimpedance sensing to determine physiological characteristics, such as heart rate. According to an embodiment, a wearable device includes a selectably opaque surface configured to emit arrangements of light to form a display, and a touch-sensitive I/O control circuit coupled to the selectably opaque surface to detect a capacitance value as an input signal to modify the display. Also, the wearable device can include one or more straps coupled to a wearable pod, at least one of the one or more straps including electrodes for sensing a physiological characteristic. A display controller can be configured to display a representation as a function of a value of the physiological characteristic via the selectably opaque surface.

Abstract: Embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and computing devices. More specifically, a wearable pod and/or device and processes to form the same facilitate implementation of a touch-sensitive interface in association with a predominately opaque surface. According to an embodiment, formation of a wearable pod includes detecting a capacitance value at a pod cover portion, determining a mode of operation based on a capacitance value, receiving subsets of sensor data, and selecting a subset of sensor data based on a mode of operation. The method can include determining values of at least one physiological signal and identifying a subset of light sources to emit light through an arrangement of micro-perforations constituting symbols indicative of the values of the physiological signal.

Abstract: A strap band including a flexible wire bus having electrodes and wires coupled with the electrodes is described. The wire bus may be include in a strap band formed by molding an inner strap, mounting the wire bus in the inner strap, and injection molding an outer strap over the inner strap and wire bus to form a strap band. The electrodes may be positioned on the inner strap to accommodate a target range of a body portion the strap band may be worn on. A material of the strap band and a material the wire bus may be selected to allow a low coefficient of friction between the wire bus and strap band so that loads applied to the strap band may not be coupled with the wire bus or cause damage to wires due to pull and/or torsional load forces applied to the strap band.