Abstract:
Devices and techniques for speech detection using low power microelectrical mechanical systems (MEMS) sensor are described, including a power source, a voice activity detection device connected to the power source and having a microelectrical mechanical system sensor formed on die with a digital signal processor and a voice activity detection logic, and a host system connected to the power source and the voice activity detection device, the host system having sensors, a power manager configured to control power being consumed by the host system according to various power modes, and a speech recognition module, where the voice activity detection device is configured to provide a signal to the host system indicating the presence of speech.
Abstract:
Techniques associated with intelligent connection management in a wireless device are described, including detecting, using an intelligent connection device implemented in a wireless device, a call incoming to the wireless device, obtaining context data associated with the calf, deriving parameters associated with the call using the context data, selecting a compatible device as a preferred device to connect the call using the parameters, and sending operational data to the compatible device, the operational data configured to transfer the call to the compatible device.
Abstract:
Techniques associated with a smart media ecosystem using local and remote data sources are described, including creating accounts using a smart media device, receiving predetermined media data from separate device, associating the predetermined media data with at least one of the accounts, receiving sensor data from a sensor array, processing the predetermined media data and the sensor data using a learning algorithm configured to generate media preferences, and storing media preferences in an account profile associated with at least one of the accounts. In some embodiments, a method also includes storing sensor data in association with an account, correlating the sensor data with stored data, which includes local data and remote data, selecting media content using the sensor data and the stored data, and sending a control signal to a media player, the control signal configured to cause the media player to play the media content.
Abstract:
Various embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and audio and speaker systems. More specifically, disclosed are an apparatus and a method for processing signals for optimizing audio, such as 3D audio, by adjusting the filtering for cross-talk cancellation based on listener position and/or orientation. In one embodiment, an apparatus is configured to include a plurality of transducers, a memory, and a processor configured to execute instructions to determine a physical characteristic of a listener relative to the origination of the multiple channels of audio, to cancel crosstalk in a spatial region coincident with the listener at a first location, to detect a change in the physical characteristic of the listener, and to adjust the cancellation of crosstalk responsive to detecting the change in the physical characteristic to establish another spatial region at a second location.
Abstract:
Embodiments of the 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 systems, methods, devices, computer readable medium, and apparatuses configured to determine activity and activity types, including gestures, from sensed motion signals using, for example, a wearable device (or carried device) and one or more motion sensors. In some embodiments, a method can include receiving data representing a motion sensor signal from a motion sensor disposed in a wearable device, and generating intermediate motion signals from the motion sensor signal. The method also can include identifying characteristics of motion based on the intermediate motion signals to form motion characteristics data, and determining an activity based the motion characteristics 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 for pairing devices using acoustic signals are described. Disclosed are techniques for receiving an acoustic signal at a microphone coupled to a first device, the acoustic signal being encoded with data representing a first parameter associated with a second device, receiving an electromagnetic signal at an antenna coupled to the first device, the electromagnetic signal being encoded with data representing a second parameter associated with the second device, and determining a match between the first parameter and the second parameter. A pairing may then be generated between the first device and the second device. A pairing may include generating data representing a key, the key being configured to authenticate a pairing of the first device and the second device. A pairing may create a secure connection between the first device and the second device.
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:
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 and/or queuing of content from those devices or from a wirelessly accessible location such as the Cloud, Internet, NAS, Flash memory, or other wireless sources.
Abstract:
Techniques for data-capable band management in an integrated application and network communication data environment are described, including detecting a signal configured to initiate a pairing function being transmitted from a wearable computing device to an application, pairing the wearable computing device to the application, establishing a data communication link between the wearable computing device and the application, and configuring the application to transfer data between the wearable computing device and the application.