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. 22, 2020

Filed:

Jul. 20, 2018
Applicant:

National Chiao Tung University, Hsinchu, TW;

Inventors:

Bing-Fei Wu, Hsinchu, TW;

Chun-Hsien Lin, Hsinchu, TW;

Po-Wei Huang, Hsinchu, TW;

Tzu-Min Lin, Hsinchu, TW;

Meng-Liang Chung, Hsinchu, TW;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/024 (2006.01); A61B 5/00 (2006.01); G06K 9/00 (2006.01); G06F 3/01 (2006.01); A61B 5/021 (2006.01); G06T 7/246 (2017.01); A61B 5/0402 (2006.01); G06T 7/20 (2017.01);
U.S. Cl.
CPC ...
A61B 5/02416 (2013.01); A61B 5/0013 (2013.01); A61B 5/0077 (2013.01); A61B 5/024 (2013.01); A61B 5/02125 (2013.01); A61B 5/7203 (2013.01); A61B 5/726 (2013.01); A61B 5/7257 (2013.01); A61B 5/7264 (2013.01); A61B 5/7275 (2013.01); A61B 5/7278 (2013.01); A61B 5/7485 (2013.01); G06F 3/017 (2013.01); G06K 9/00302 (2013.01); A61B 5/0402 (2013.01); A61B 5/725 (2013.01); A61B 5/7207 (2013.01); A61B 2576/00 (2013.01); G06T 7/20 (2013.01); G06T 7/246 (2017.01);
Abstract

The present invention provides a contactless-type sport training monitor method, comprising: selecting at least an image database to recognize a plurality of expressions in the image database; making pre-processing for the plurality of expressions: using a convolutional neural network as a feature point extraction model; acquiring a human image; tracking a first target region and a second target region in the human image; making chrominance-based rPPG trace extraction; using the deep level model to compare the second target region image; and to calculate a post-exercise heart rate recovery achievement ratio, to judge the Rating of Perceived Exertion, and judging whether the human body is under overtraining status or not.


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