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:
May. 17, 2022

Filed:

Aug. 10, 2021
Applicant:

Vision Quest Virtual, Llc, Highland Park, IL (US);

Inventors:

Robert D. Ketchell, III, Hampton Falls, NH (US);

Robert A. Ventura, Highland Park, IL (US);

Assignee:

Vision Quest Virtual, LLC, Highland Park, IL (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A63B 24/00 (2006.01); G06N 20/00 (2019.01); A63B 71/06 (2006.01); A63B 22/06 (2006.01);
U.S. Cl.
CPC ...
A63B 24/0006 (2013.01); A63B 22/0605 (2013.01); A63B 24/0062 (2013.01); A63B 24/0087 (2013.01); A63B 71/0622 (2013.01); G06N 20/00 (2019.01); A63B 2024/0009 (2013.01); A63B 2024/0065 (2013.01); A63B 2024/0068 (2013.01); A63B 2024/0093 (2013.01);
Abstract

A method provides for optimizing at least one exercise. The method includes receiving first image data. The first image data includes first pixel data associated with the user performing the exercise at a first time. The method includes receiving second image data. The second image data includes second pixel data associated with the user performing the exercise at a second time. The method includes determining, based on a difference between the first pixel data and the second pixel data, deviation data associated with a profile of the user. The method includes generating outline data based on the deviation data and corresponding to a frontal area of the user. The method may also include determining drag coefficient data based on the frontal area of the user. The method includes determining, based on the outline data and the drag coefficient data, drag force data associated with the user using the exercise device.


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