Abstract:
An electronic device described herein includes a sensing unit having at least one sensor to acquire sensing data. An associated computing device extracts sensor specific features from the sensing data, and generates a motion activity vector, a voice activity vector, and a spatial environment vector as a function of the sensor specific features. The motion activity vector, voice activity vector, and spatial environment vector are processed to determine a base level context of the electronic device relative to its surroundings, with the base level context having aspects each based on the motion activity vector, voice activity vector, and spatial environment vector. Meta level context of the electronic device relative to its surroundings is determined as a function of the base level context, with the meta level context being at least one inference made from at least two aspects of the plurality of aspects of the base level context.
Abstract:
A method includes receiving, at a master agent, announcements from candidate consumer agents indicating the presence of the candidate consumer agents. Each announcement includes display parameters for a display of the corresponding candidate consumer agent. The method further includes receiving at the master agent content parameters from a producer agent, the content parameters defining characteristics of content to be provided by the consumer agent. A mosaic screen is configured based on the received announcements and the content parameters. This configuring of the mosaic screen includes selecting ones of the consumer agents for which an announcement was received and generating content distribution parameters based on the content parameters and the display parameters of the selected ones of the consumer agents. The generated content distribution parameters are provided to the consumer agent.
Abstract:
A device for generating a control signal based on the linear movement of a linear member is provided. The device includes a linear member, a rotatable member, a first inertial measurement unit (IMU) coupled to the rotatable member and a second IMU having a fixed position. The device also includes a processing circuit which uses sensing signals from the IMUS to determine an attitude of the first IMU referenced to the second IMU and generate a control signal based on the attitude.
Abstract:
Motion activity data is collected from at least one sensor. An initial motion activity classifier function is applied to the motion activity data to produce an initial motion activity posteriorgram. Pre-processing and segmenting the motion activity data into windows produces segmented motion activity data from which sensor specific features are extracted. An updated motion activity classifier function is generated from the extracted sensor specific features. Subsequent motion activity data is also collected from the at least one sensor, and the updated motion activity classifier function is applied to the subsequent motion activity data to produce an updated motion activity posteriorgram.
Abstract:
A method includes receiving, at a master agent, announcements from candidate consumer agents indicating the presence of the candidate consumer agents. Each announcement includes display parameters for a display of the corresponding candidate consumer agent. The method further includes receiving at the master agent content parameters from a producer agent, the content parameters defining characteristics of content to be provided by the consumer agent. A mosaic screen is configured based on the received announcements and the content parameters. This configuring of the mosaic screen includes selecting ones of the consumer agents for which an announcement was received and generating content distribution parameters based on the content parameters and the display parameters of the selected ones of the consumer agents. The generated content distribution parameters are provided to the consumer agent.
Abstract:
A method and apparatus for classifying a spatial environment as open or enclosed are provided. In the method and apparatus, one or more microphones detect ambient sound in a spatial environment and output an audio signal representative of the ambient sound. A processor determines a spatial environment impulse response (SEIR) for the audio signal and extracts one or more features of the SEIR. The processor classifies the spatial environment as open or enclosed based on the one or more features of the SEIR.
Abstract:
A method and apparatus for auto-directive adaptive beamforming for a microphone array using microelectromechanical systems (MEMS) sensor orientation information are provided. The microphone array captures audio and the MEMS sensor detects an orientation of the microphone array. A direction of arrival of a source signal is estimated based on the data representative of the audio. A change in an orientation of the microphone array is detected based on the orientation and the direction of arrival is compensates based on the change in the orientation of the microphone array. The apparatus pre-steers a beam of a beam pattern of the microphone array based on the compensated direction of arrival to retain the source signal in a broadside of the microphone array and performs adaptive wideband beamforming to null one or more interfering sources in the beam pattern while retaining the source signal in the broadside of the microphone array.
Abstract:
A distributed computing system for artificial intelligence in autonomously appreciating a circumstance context of a smart device. Raw context data is detected by sensors associated with the smart device. The raw context data is pre-processed by the smart device and then provided to a cloud based server for further processing. At the cloud based server, various sets of feature data are obtained from the pre-processed context data. The various sets of feature data are compared with corresponding classification parameters to determine a classification of a continuous event and/or a classification of transient event, if any, which occur in the context. The determined classification of the continuous event and the transient event will be used to autonomously configure the smart device or another related smart device to fit the context.
Abstract:
A method and apparatus for classifying a spatial environment as open or enclosed are provided. In the method and apparatus, one or more microphones detect ambient sound in a spatial environment and output an audio signal representative of the ambient sound. A processor determines a spatial environment impulse response (SEIR) for the audio signal and extracts one or more features of the SEIR. The processor classifies the spatial environment as open or enclosed based on the one or more features of the SEIR.
Abstract:
A sensor chip is mounted on a PCB and electrically connected to a SOC mounted on the PCB via at least one conductive trace. The sensor chip includes configuration registers storing and outputting configuration data, and a PLD receiving digital data. The PLD performs an extraction of features of the digital data in accordance with the configuration data, and the configuration data includes changeable parameters of the extraction. A classification unit processes the extracted features of the digital data so as to generate a context of an electronic device into which the sensor chip is incorporated relative to its surroundings, the processing being performed in using a processing technique operating in accordance with the configuration data. The configuration data also includes changeable parameters of the processing technique. The classification unit outputs the context to data registers for storage.