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:
Feb. 18, 2025

Filed:

Jun. 10, 2022
Applicant:

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

Inventors:

Joseph Scanlin, Milwaukee, WI (US);

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

Assignee:

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

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
A63B 24/00 (2006.01); A63B 22/06 (2006.01); A63B 71/06 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
A63B 24/0006 (2013.01); A63B 22/0605 (2013.01); A63B 24/0062 (2013.01); A63B 24/0075 (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); A63B 2220/13 (2013.01); A63B 2230/75 (2013.01);
Abstract

A method for optimizing at least one exercise is provided. The method includes receiving user data. The user data includes biometric attribute data associated with a user of an exercise device. The method includes generating at least one interval, the at least one interval including at least duration data and target power data each associated with the exercise. The method includes during the at least one interval, receiving measurement data associated with at least one of the user and the exercise device. The method includes calculating, based on the measurement data and the user data, energy data associated with an expended energy of the user during the at least one interval, the energy data including quantity data and source information each associated with at least one energy source. The method includes generating, via an artificial intelligence engine, a machine learning model trained to identify the at least one energy source.


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