Automated motion of interest recognition, detection and self-learning

a motion of interest and automatic technology, applied in the field of motion identification, can solve the problems of time and resource consumption, difficult to identify motions of interest (moi) in sensor signals, and large training data s

Inactive Publication Date: 2017-03-02
FOCUS VENTURES
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0013]In some embodiments, the motion monitoring system automatically generates motion of interest models based on motion data without hand labeling by a human, unlike conventional techniques. Thus, the motion data used to train motion of interest models can include data from multiple users performing the same motion of interest in order to quickly obtain a large training data set. I

Problems solved by technology

Conventionally, it is difficult to identify a motion of interest (MOI) in sensor signals.
Motions of interest can be difficult to detect because the sensor signals can often contain noise that masks the portions of the signal that represent the motion of interest.
However, th

Method used

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  • Automated motion of interest recognition, detection and self-learning
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Embodiment Construction

[0028]The features and advantages described in the specification are not all inclusive and, in particular, many additional features and advantages will be apparent to one of ordinary skill in the art in view of the drawings and specification. Moreover, it should be noted that the language used in the specification has been principally selected for readability and instructional purposes, and may not have been selected to delineate or circumscribe the inventive subject matter.

Example System Environment and Architecture

[0029]FIG. 1 illustrates an example system environment for a motion monitoring system, in accordance with some embodiments. FIG. 1 includes a movement measurement device 100, a network 110, and a motion monitoring system 120. Alternate embodiments can include additional, fewer, or different components than those illustrated in FIG. 1 and the functionality of the components may be divided up differently from the description below. For example, while only one movement meas...

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Abstract

A motion monitoring system can detect and identify motions of interest in motion data. The motion monitoring system can identify instances of the motion of interest in the motion data and can train a machine-learned model for identifying or characterizing motions of interest in motion data based on extracted features from the motions of interest. The motion monitoring system can also monitor motion data from a user and can help the user alter the performance of the motions of interest. For example, the motion monitoring system can generate an improvement strategy that helps the user improve their performance of the motion of interest. The motion monitoring system's altering of a user's performance of a motion of interest can be applied to physical therapy, gunfire detection, workplace motion improvement, sports, and driving.

Description

CROSS REFERENCE TO RELATED APPLICATION[0001]This application claims the benefit of U.S. Provisional Application No. 62 / 211,513, filed on Aug. 28, 2015, U.S. Provisional Application No. 62 / 213,003, filed Sep. 1, 2015, U.S. Provisional Application No. 62 / 293,658, filed Feb. 10, 2016, U.S. Provisional Application No. 62 / 338,016, filed May 18, 2016, and U.S. Provisional Application No. 62 / 355,528, filed Jun. 28, 2016, each of which is herein incorporated by reference in its entirety.[0002]This application also is related to and incorporates by reference in its entirety U.S. patent application Ser. No. ______, filed 26 Aug. 2016, titled “System and Method for Automatically Time Labelling Repetitive Data”.BACKGROUND[0003]Field of the Invention[0004]This disclosure relates generally to movement identification and more specifically to identifying motions of interest in signal data.[0005]Description of Art[0006]Sensors, such as accelerometers, can be used to generate signals of physical moti...

Claims

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Application Information

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IPC IPC(8): A61B5/00A61B5/11
CPCA61B5/7278A61B5/7282A61B5/7267A61B5/1123A61B5/7239A61B5/112A61B5/7225A61B5/725G16H50/70A63B24/0062A63B24/0003H04L43/028
Inventor HUGHES, GRANTCANAVAN, JAMES CAVANFENG, SHUOMEREL, STEVEN
Owner FOCUS VENTURES
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