Electronic Scripting Products, Inc.

Ricoh Company, Ltd.

Invent.ly, LLC

Honda Motor Co., Ltd.

Leland Stanford Junior University

Xvd Technology Holdings Limited

Honda Giken Kogyo Kabushiki Kaisha

Hector H Gonzalez-Banos

Michael J Mandella

Marek Alboszta

Ramya Narasimha

Stephen J Brown

Holden Jessup

Daylyn M Meade

Timothy P Flood

Clive A Hallatt

Stewart R Carl

Dale Buermann

Victor Ng-Thow-Hing

Guanghua G Zhang

Manuel Martinello

Behzad Dariush

Jorge Moraleda

Max E McFarland

Leonidas John Guibas

Joel A Wormer

Timothy J Hawks

Jean-Claude Latombe

Manjesh Malavalli

Li Guan

Kris Hauser

Allen Y Yang

James E Davis

Danny B Yang

Cheng-Yu Lee

Marco Antonio Covarrubias

Robert Martin Wolff

A system for monitoring injuries comprising a plurality of wearable user input devices and a wireless transceiver. Each of the plurality of wearable user input devices may be configured to detect motion patterns of a user. Each of the plurality of wearable user input devices may be configured as performance equipment. The wireless transceiver may be configured to communicate the motion patterns to a user device. The user device may be configured to (i) develop and store reference patterns related to impacts, (ii) compare the detected motion patterns with the reference patterns, (iii) estimate a location and direction of an impact based on the comparison, (iv) accumulate data from the estimated impact with previously suffered impact data, (v) aggregate results based on the accumulated impact data and context information and (vi) generate feedback for the user based on the aggregated results.

Wearable user input device and sensor system to detect head and neck injuries

The present invention discloses systems and methods for both viewing and interacting with a virtual reality (VR), an augmented reality (AR) or a mixed reality (MR). More specifically, the systems and methods allow the user to interact with aspects of such realities including virtual items presented in such realities or within such environments by manipulating a control device that has an inside-out camera mounted on-board. The apparatus or system uses two distinct representations including a reduced representation in determining the pose of the control device and uses these representations to compute an interactive pose portion of the control device to be used for interacting with the virtual item. The reduced representation is consonant with a constrained motion of the control device.

Realistic virtual/augmented/mixed reality viewing and interactions

A system comprising a plurality of self-powered devices and at least one remote device. The plurality of self-powered devices may be configured to perform instructions. The plurality of self-powered devices may be configured to select one of a plurality of modes of operation. The remote device may be configured to store scheduling data. The remote device may be configured to communicate with the self-powered devices. The self-powered devices may select one of the plurality of modes of operation based on the scheduling data.

Predictive power management in a wireless sensor network using scheduling data

The disclosure includes a system and method for decomposing a video to salient fragments and synthesizing a video composition based on the salient fragments. A computer-implemented method receives a first set of salient fragments and a first set of clusters extracted from a video, where each cluster includes related salient fragments connected by a connectivity graph. The method determines a weight associated with each of the salient fragments and each of the clusters based on an activity level associated with the respective salient fragment or cluster and determine a permissible zone of activity. The method determines a spatial-temporal distortion to be applied to each salient fragment and cluster and synthesizes a video composition based on the first set of salient fragments, the first set of clusters and non-salient portions of the video using weighted editing.

Decomposition of a video stream into salient fragments

The disclosure includes a system and method for providing visual analysis focalized on a salient event. A video processing application receives a data stream from a capture device, determines an area of interest over an imaging area of the capture device, detects a salient event from the data stream, determines whether a location of the detected salient event is within the area of interest, and in response to the location of the salient event being within the area of interest, identifies a portion of the data stream, based on the salient event, on which to perform an action.

On-demand visual analysis focalized on salient events

Wearable user input device and sensor system for sports training

A system and method for analyzing behavior in a video is described. The method includes extracting a plurality of salient fragments of a video; building a database of the plurality of salient fragments; associating a time anchor with a machine event; retrieving one or more salient fragments of the video from the database of the plurality of salient fragments based on the time anchor; generating a focalized visualization based on the one or more salient fragments of the video; tagging a human subject in the focalized visualization with a unique identifier; analyzing the focalized visualization based on the time anchor and the unique identifier to generate a behavior score; and providing the behavior score via the user device.

Analysis of operator behavior focalized on machine events

A system and method for analyzing behavior in a video is described. The method includes extracting a plurality of salient fragments of a video; building a database of the plurality of salient fragments; receiving a keyword; identifying a time anchor when the keyword appears in an audio track associated with the video; retrieving one or more salient fragments of the video from the database of the plurality of salient fragments based on the time anchor; generating a focalized visualization based on the one or more salient fragments of the video; tagging a human subject in the focalized visualization with a unique identifier; analyzing the focalized visualization based on the time anchor and the unique identifier to generate a behavior score; and providing the behavior score via the user device.

Behavioral measurements in a video stream focalized on keywords

A system and method for analyzing behavior in a video is described. The method includes extracting a plurality of salient fragments of a video; building a database of the plurality of salient fragments; associating a time anchor with a media event; retrieving one or more salient fragments of the video from the database of the plurality of salient fragments based on the time anchor; generating a focalized visualization based on the one or more salient fragments of the video; tagging a human subject in the focalized visualization with a unique identifier; analyzing the focalized visualization based on the time anchor and the unique identifier to generate a behavior score; and providing the behavior score via the user device.

Computation of audience metrics focalized on displayed content

A system and method for analyzing behavior in a video is described. The method includes extracting a plurality of salient fragments of a video; associating a time anchor with an utterance of a first keyword in an audio track associated with the video; generating a focalized visualization, based on the time anchor, from one or more of the plurality of salient fragments of the video; tagging a human subject in the focalized visualization with a unique identifier; and analyzing behavior of the human subject, using the focalized visualization, to generate a behavior score associated with the unique identifier and the first keyword.

A system and method for analyzing behavior in a video is described. The method includes extracting a plurality of salient fragments of a video; building a database of the plurality of salient fragments; generating a focalized visualization, based on a time anchor, from the one or more salient fragments of the video; tagging a human subject in the focalized visualization with a unique identifier; analyzing the focalized visualization, based on the unique identifier, to generate a behavior score; and providing the behavior score via the user device.

Focalized behavioral measurements in a video stream

A system and method for analyzing behavior in a video is described. The method includes extracting a plurality of salient fragments of a video; generating a focalized visualization, based on a time anchor, from one or more of the plurality of salient fragments of the video; tagging a human subject in the focalized visualization with a unique identifier; and analyzing behavior of the human subject, using the focalized visualization, to generate a behavior score associated with the unique identifier and the time anchor.

A system and method for analyzing behavior in a video is described. The method includes extracting a plurality of salient fragments of a video; associating a time anchor with an occurrence of a first machine event of a machine operated by a human subject; generating a focalized visualization, based on the time anchor, from one or more of the plurality of salient fragments of the video; tagging the human subject in the focalized visualization with a unique identifier; and analyzing behavior of the human subject, using the focalized visualization, to generate a behavior score associated with the unique identifier and the first machine event.

A system and method for analyzing behavior in a video is described. The method includes extracting a plurality of salient fragments of a video; associating a time anchor with a presentation of a first media content to a human subject; generating a focalized visualization, based on the time anchor, from one or more of the plurality of salient fragments of the video; tagging the human subject in the focalized visualization with a unique identifier; and analyzing behavior of the human subject, using the focalized visualization, to generate a behavior score associated with the unique identifier and the first media content.

Growing community of inventors

Mountain View, CA, United States of America

Hector H Gonzalez-Banos