Abstract: Techniques associated with a smart media ecosystem using local data and remote social graph data are described, including identifying an account associated with a user based on a detection of a presence of a compatible device, the compatible device being associated with the account in a profile, receiving an input indicating a request for media content, retrieving remote social graph data from a remote database, cross-referencing the remote social graph with profile data being stored locally, the profile data associated with media preferences, updating the profile data with a learned media preference generated by a learning module, selecting targeted media content based on the profile data, and sending a control signal to a media device, the control signal configured to cause the media device to output the targeted media content.

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: 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: 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: Embodiments relate generally to electrical/electronic hardware, computer software, wired and wireless network communications, portable, wearable, and stationary media devices. RF transceivers and/or audio system in each media device may be used to wirelessly communicate between media devices and allow configuration and other data to be wirelessly transmitted from one media device to another media device. The proximity detection system may be configured to detect a presence of a user or multiple users and upon detecting presence, access content on a user device, and record the content while also playing back the content on the media device. One or more user devices in proximity of the media device post detection may wirelessly communicate with the media device and the media device may orchestrate handling of content from those devices or from a wirelessly accessible location such as the Cloud or Internet.

Abstract: Embodiments relate generally to electrical/electronic hardware, computer software, wired and wireless network communications, portable, wearable, and stationary media devices. Media devices may include a plurality of RF transceivers, an audio system, and a proximity detection system. The RF transceivers and/or audio system may be used to wirelessly communicate between media devices and allow configuration and other data to be wirelessly transmitted from one media device to another media device. The proximity detection system may be configured to detect a presence of a user or multiple users and upon detecting presence, take some action defined by a user preference and/or environmental conditions around the media device. One or more user devices in proximity of the media device post detection may wirelessly communicate with the media device and the media device may orchestrate handling of content from those devices or from a wirelessly accessible location such as the Cloud or Internet.

Abstract: Embodiments relate generally 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 method includes receiving an amplified signal including a portion of the physiological-related signal component including data representing a physiological characteristic, the amplified signal being derived from bioimpedance signal based on an impedance value of a tissue, and identifying a magnitude of a portion of the physiological-related signal component. Also, the method can compare the magnitude of the portion against another magnitude of a data model (e.g., in a time-domain) to form a matched value.

Abstract: Techniques associated with intelligent device connection for wireless media in an ad hoc acoustic network are described, including receiving a radio signal at an intelligent device connection unit implemented in a media device, determining a source of the radio signal to be outside of an acoustic network being associated with the media device, generating a location data associated with a location of the source, receiving an acoustic signal from the source, evaluating the acoustic signal and metadata associated with the acoustic signal to determine additional location data, updating the location data, generating acoustic network data using the location data, the acoustic network data associating the source with the acoustic network, and sending setup data to the source.

Abstract: Techniques associated with intelligent device connection for wireless media in an ad hoc acoustic network are described, including receiving a radio signal from an outside media device, determining whether the radio signal includes identifying information, evaluating the radio signal to calculate location data associated with a location of the outside media device, determining whether the location of the outside media device is within a threshold proximity of a primary media device, sending request to the outside media device, the request comprising an instruction to the outside media device to provide an acoustic output, receiving response data from the outside media device, capturing an acoustic signal using an acoustic sensor, determining the acoustic signal to be associated with the acoustic output from the outside media device, and generating acoustic network data using the acoustic signal, the acoustic network data identifying the outside media device as being part of the acoustic network.

Abstract: Embodiments relate generally 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 and method includes determining a drive current signal magnitude for a bioimpedance signal to capture data representing a physiological-related component, and selecting the drive current signal magnitude as a function of an impedance of a tissue. Further, the method can include driving the bioimpedance signal to that are configured to convey the bioimpedance signal to the tissue. Also, the method can receive the sensor signal from the tissue, adjust a gain for an amplifier, and apply the gain to data representing the physiological-related component. The method can include generating an amplified signal to include a portion of the physiological-related signal component that includes data representing a physiological characteristic.

Abstract: Embodiments relate generally to wearable computing devices in capturing and deriving physiological characteristic data. More specifically, disclosed are one or more electrodes and methods to determine physiological characteristics using a wearable device (or carried device) and one or more sensors. In one embodiment, a method includes determining a drive signal magnitude for a bioimpedance signal to capture data representing a physiological-related component and selecting the drive signal magnitude as a function of an impedance of a tissue. The bioimpedance signal can be applied to electrodes that are configured to convey the bioimpedance signal to the tissue. In some cases, data representing a value a signal-to-noise (“SNR”) ratio may be adapted to form an adaptive signal-to-noise value. A portion of a received bioimpedance signal may be detected, the received bioimpedance signal being based on the adaptive signal-to-noise value. A physiological characteristic can be derived.

Abstract: A system, apparatus, or method for enabling an application developer to access the events, data and functionality of a device, such as a mobile phone, without being limited by the API provided by the device manufacturer. In some embodiments, the present invention utilizes a transparent gateway as a proxy that is inserted into the device stack to enable an application developer to access features and functions of the device beyond those exposed by the manufacturer provided API. For example, the transparent gateway may be inserted into the wireless stack of a mobile phone, in between the Bluetooth stack and the device's API. The transparent gateway may be installed in the mobile phone via an over the air provisioning or another suitable method.

Abstract: Techniques associated with a combination speaker and light source responsive to states of an environment based on sensor data are described, including a housing, a light source disposed within the housing and configured to be powered using a light socket connector coupled to the housing, a speaker coupled to the housing and configured to output audio, and a sensor device comprising a light and speaker controller, the sensor device configured to determine an environmental state and to generate environmental state data associated with the environmental state, the light and speaker controller configured to send a control signal to one or both of the light source and the speaker.

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, disclosed are one or more electrodes and methods to determine physiological characteristics using a wearable device (or carried device) and one or more sensors that can be subject to motion. In one embodiment, a method includes receiving a sensor signal during one or more portions of a time interval in which the wearable device is in motion, and receiving a motion sensor signal. The method includes decomposing at a processor the sensor signal to determine physiological signal components. An analysis of the physiological signal components can yield a physiological characteristic, whereby a physiological characteristic signal that includes data representing the physiological characteristic can be generated during at least one of the one or more portions of the time interval.

Abstract: Embodiments of the invention 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. More specifically, disclosed are electrodes and methods to determine physiological states using a wearable device (or carried device) and one or more sensors that can be subject to motion. In one embodiment, a method includes receiving a sensor signal including data representing physiological characteristics in a wearable device from a distal end of a limb and a motion sensor signal. The method includes decomposing at a processor the sensor signal to determine physiological signal components. A physiological characteristic signal is generated that includes data representing a physiological characteristic, which can form a basis to determine a physiological state based on, for example, bioimpedance signals originating from the distal end of the limb.

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 relate generally to electronics, computer software, wired and wireless network communications, wearable, hand held, and portable computing devices for facilitating wireless communication of information. Systems such as RF, A/V or proximity detection in at least one wireless media device may be configured to detect presence of a user(s) or wireless user devices, and may generate an acoustic environment that may persist for a time operative to render the sounds so generated imperceptible on a conscious level to the user(s). Upon terminating/altering the sounds, the user(s) may become consciously aware of the absence/change in the sounds and may take or refrain from some prescribed action. Hardware and/or software systems in one or more of the wireless media devices may execute an Awareness User Interface (AUI) configured to interact with the user(s) using verbal, audio, acoustic, visual, physical, image-based, gesture-based, tactile, haptic, or proximity-based inputs and/or outputs.

Abstract: Embodiments relate generally to electronic and electronic hardware, computer software, wired communications, wireless communications, and wireless network communications, portable, wearable, and stationary media devices. RF transceivers and/or audio system in each media device may be used to wirelessly communicate between media devices and/or user devices and allow configuration, content, and other data to be wirelessly transmitted from one media device and/or user device to another media device. One or more user devices in proximity of one or more media devices, post detection, may wirelessly communicate (e.g., using RF, light, sound/acoustics) with the one or more media devices and the one or more media devices may orchestrate wireless handling (e.g., using RF, light, sound/acoustics) of content from the user device and/or from a wirelessly accessible location such as the Cloud, Internet, data storage device, or other location as indicated by an application (APP), content, data or both from the user device.

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.