Other

Reelay Meetings, Inc.

Alexander M Stufflebeam

Michael H Peters

John N Fitzpatrick

Mitchel H Szazynski

Lukas R Bearden

Garrett S Yesmunt

David V N Galloway

John James Fitzpatrick

In some implementations, a computer system identifies multiple sub-sessions of a network-based communication session in which multiple remote endpoint devices each provide media streams over a communication network. For each of the sub-sessions, the computer system can identify the endpoint devices included in the sub-session. The computer system can obtain user state data for each of the endpoint devices, the user state data for each endpoint device being generated based on analysis of face images of the user of the endpoint device. The computer system aggregates the user state data to determine a sub-session state for each of the sub-sessions. During the communication session, the computer system communicates over the communication network with a remote device associated with the communication session to cause a user interface of the remote device to indicate the sub-session states determined for one or more of the multiple sub-sessions.

Management and analysis of related concurrent communication sessions

In some implementations, an endpoint device captures video data during a network-based communication session. The endpoint devices processes a stream of user state data indicating attributes of a user of the endpoint device at different times during the network-based communication session. The endpoint device transmits the stream of user state data over a communication network to a server system. The endpoint device receives, over the communication network, (i) content of the network-based communication session and (ii) additional content based on user state data generated by the respective endpoint devices each processing video data that the respective endpoint devices captured during the network-based communication session. The endpoint device presents a user interface providing the received content of the network-based communication session concurrent with the received additional content that is based on the user state data generated by the respective endpoint devices.

Architecture for scalable video conference management

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for enhanced video conference management. In some implementations, a media stream is received from each of multiple endpoint devices over a communication network. A video conference session among the endpoint devices is managed such that at least one or more of the media streams are transmitted over the communication network for display by the endpoint devices. A plurality of audio and/or video characteristics from the media stream from a particular endpoint device of the multiple endpoint devices are measured. Based on the audio and/or video characteristics, a collaboration factor score is determined for the particular endpoint device for each of a plurality of collaboration factors. The video conference of the endpoint devices by performing a video conference management action selected based on the collaboration factor scores.

Enhanced video conference management

Methods, systems, and apparatus, including computer-readable media storing executable instructions, for enhanced video conference management. In some implementations, a participant score for each participant in a set of multiple participants in the communication session. Each of the participant scores is based on at least one of facial image analysis or facial video analysis performed using image data or video data captured for the corresponding participant during the communication session. Each of the participant scores is indicative of an emotional or cognitive state of the corresponding participant. The participant scores are used to generate an aggregate representation of the emotional or cognitive states of the set of multiple participants. During the communication session, output data is comprising the aggregate representation of the emotional or cognitive states of the set of multiple participants is provided for display.

In accordance with the present application, a high-density, low-impedance piezoelectric power generator is provided. In an example embodiment, the piezoelectric power generator has a plurality of piezoelectric elements arranged in a first predefined pattern; a plurality of actuators arranged in a second predefined pattern operably positioned to excite one or more of the plurality of the piezoelectric elements simultaneously within at least a first subset; and an electrical conduction system connected to sum the electrical power produced by the simultaneously excited piezoelectric elements within the first subset and for conducting an electrical current.

Piezoelectric power generator

In accordance with the present application, a high density, low impedance piezoelectric power generator is provided. In an example embodiment, the piezoelectric power generator has a plurality of piezoelectric elements arranged in a first predefined pattern; a plurality of actuators arranged in a second predefined pattern operably positioned to excite one or more of the plurality of the piezoelectric elements simultaneously within at least a first subset; and an electrical conduction system connected to sum the electrical power produced by the simultaneously excited piezoelectric elements within the first subset and for conducting an electrical current.

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Indianapolis, IN, United States of America

Alexander M Stufflebeam