Abstract:
Embodiments relate generally to 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 data, including configuration data, between media devices. The proximity detection system may be configured to detect a presence of user(s) 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:
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:
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. A wearable housing includes the multimodal physiological sensors, and a multimodal physiological sensing device is configured to receive a sensor signal and generate data representing a physiological characteristic.
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 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:
Various embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and wearable computing and audio devices for monitoring health and wellness. More specifically, disclosed are an apparatus and a method for processing signals representing physiological characteristics sensed from tissue at or adjacent an ear of an organism. In one or more embodiments, a wearable device includes one or more sensor terminals, one or more physiological sensors configured to sense one or more signals originating at the one or more sensor terminals. At least one sensor terminal includes a pressure-sensitive terminal configured to detect a pressure exerted by a portion of tissue of an organism and generate a pressure signal representing a value of the pressure. Further, the wearable device can include a processor configured to cause generation of data representing a physiological characteristic of the organism based on the pressure signal.
Abstract:
Techniques associated with intelligent device connection for wireless media ecosystem are described, including detecting, using an antenna implemented in a connection awareness device, a radio signal emitted by a wireless device, generating proximity data indicating a proximity of the wireless device to the antenna, providing the proximity data to an intelligent communication facility coupled to the antenna, determining the proximity passes within a threshold proximity, determining the wireless device is compatible with an output device coupled to the connection awareness device, sending to the wireless device data comprising a query associated with an operation, receiving a response indicating the wireless device is performing the operation, sending a first control signal to the output device, synchronizing a performance of the operation by the output device with another performance of the operation by the wireless device, and sending a second control signal to the wireless device to stop performing the operation.
Abstract:
A combination speaker and light source responsive to states of an organism based on sensor data is described, including generating motion sensor data responsive to movement(s) captured using a motion sensor(s), deriving movement data using a motion analysis module operative to determine the movement to be associated with: gesture(s); identity(s); and activity(s), using the motion sensor data, generating acoustic sensor data responsive to sound captured using an acoustic sensor, deriving audio data using a noise removal module operative to subtract a noise signal from the acoustic sensor data, detecting a RF signal associated with a personal device using a communication facility, obtaining state data from the personal device, and determining a desired light characteristic using the state data and one or both of the movement data and the audio data.
Abstract:
One or more wearable devices may measure real-time blood pressure in a body using signals from multiple sensors including but not limited to a multi-axis accelerometer, a bioimpedance (BI) sensor, a capacitive touch sensor, an electrocardiography sensor (ECG), a ballistocardiograph sensor (BCG), a photoplethysmogram (PPG), a pulse oximetery sensor, and a phonocardiograph sensor (PCG), for example. Accelerometry data (e.g., from a multi-axis accelerometer or BCG sensor) may be used to derive effects of acceleration (e.g., gravity) on changes in blood pressure (e.g., due to changes in blood volume as measured using BI signals). The accelerometry data may be used to determine a baseline value for BI voltage signals that are indicative of diastolic and systolic blood pressure (e.g., in mmHg).
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.