The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 26, 2023

Filed:

Oct. 20, 2022
Applicant:

Sas Institute Inc., Cary, NC (US);

Inventors:

Ji Shen, Apex, NC (US);

Jared Langford Dean, Cary, NC (US);

Xilong Chen, Chapel Hill, NC (US);

Jan Chvosta, Raleigh, NC (US);

Assignee:

SAS Institute, Inc., Cary, NC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 40/20 (2022.01); G06T 9/00 (2006.01); G06V 10/84 (2022.01); G06N 3/042 (2023.01); G06N 3/047 (2023.01); G06N 3/09 (2023.01); G06T 7/246 (2017.01); G06V 10/44 (2022.01); G06N 3/0455 (2023.01);
U.S. Cl.
CPC ...
G06V 40/23 (2022.01); G06N 3/042 (2023.01); G06N 3/047 (2023.01); G06N 3/0455 (2023.01); G06N 3/09 (2023.01); G06T 7/246 (2017.01); G06T 9/00 (2013.01); G06V 10/44 (2022.01); G06V 10/85 (2022.01); G06T 2207/20044 (2013.01); G06T 2207/20081 (2013.01);
Abstract

A computer system can automatically analyze a video of a physical activity and provide corresponding feedback. For example, the system can receive a video file including image frames showing an entity performing a physical activity that involves a sequence of movement phases. The system can generate coordinate sets by performing image analysis on the image frames. The system can provide the coordinate sets as input to a trained model, the trained model being configured to assign scores and movement phases to the image frames based on the coordinate sets. The system can then select a particular movement phase for which to provide feedback, based on the scores and movement phases assigned to the image frames. The system can generate the feedback for the entity about their performance of the particular movement phase, which may improve the entity's future performance of that particular movement phase.


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