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. 21, 2021

Filed:

Feb. 22, 2021
Applicants:

Marc Michael Thomas, Mokelumne Hill, CA (US);

Alexander Paul Barangan, Felton, CA (US);

Nelson George Publicover, Bellingham, WA (US);

Inventors:

Marc Michael Thomas, Mokelumne Hill, CA (US);

Alexander Paul Barangan, Felton, CA (US);

Nelson George Publicover, Bellingham, WA (US);

Assignee:

Other;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 7/60 (2017.01); G06K 9/62 (2006.01); G06K 9/00 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0002 (2013.01); G06K 9/00362 (2013.01); G06K 9/627 (2013.01); G06K 9/6256 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06T 7/60 (2013.01); G06T 7/97 (2017.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30196 (2013.01);
Abstract

Systems and methods are described for measuring, using one or more cameras, anthropomorphic features of two or more individuals to classify and/or grade whether the two or more individuals possess physical abilities to collectively perform desired physical acts, actions or activities. The performance of such actions may involve objects with measured or known dimensions, and/or one or more assistive devices to compensate for differences in anthropomorphic features. Anthropomorphic features of the two or more individuals may also be projected into the future based on attributes such as ages, medical conditions, activity levels and predispositions. Classification schemes may use neural network-based approaches and/or statistical methods based on labelled datasets of abilities of two or more individuals with given anthropomorphic features to perform selected actions.


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