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, 2026

Filed:

Apr. 22, 2022
Applicant:

Peloton Interactive, Inc., New York, NY (US);

Inventors:

Akshay Kashyap, Long Island, NY (US);

Abhishek Gaur, Medford, MA (US);

Ameen Al-Khafaji, New York, NY (US);

Blake Chasen, Columbus, OH (US);

Bud Intonato, Brooklyn, NY (US);

Chris Kruger, Washington, DC (US);

Feng Huang, New York, NY (US);

Konstantyn Prokopenko, Oceanside, NY (US);

Mark Kudas, Minneapolis, MN (US);

Matt Sonier, South Orange, NJ (US);

Mete Polat, Brooklyn, NY (US);

Natalia Chen, New York, NY (US);

Nick Breeser, New York, NY (US);

Sanjay Nichani, San Diego, CA (US);

Sara Fares, Washington, DC (US);

Sarang Zambare, New York, NY (US);

Skyler Erickson, Ann Arbor, MI (US);

Walid Wahed, San Ramon, CA (US);

Athul Ramkumar, New York, NY (US);

Asfiya Baig, New York, NY (US);

Lihang Ying, New York, NY (US);

David Stevens, New York, NY (US);

Assignee:

Peloton Interactive, Inc., New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A63B 24/00 (2006.01); A63B 71/06 (2006.01); G06N 3/045 (2023.01); G06N 3/096 (2023.01); G06T 11/26 (2026.01); G06V 10/75 (2022.01); G06V 10/764 (2022.01); G06V 10/77 (2022.01); G06V 10/82 (2022.01); G06V 40/20 (2022.01);
U.S. Cl.
CPC ...
A63B 24/0062 (2013.01); A63B 24/0075 (2013.01); A63B 71/0622 (2013.01); G06N 3/045 (2023.01); G06N 3/096 (2023.01); G06T 11/26 (2026.01); G06V 10/751 (2022.01); G06V 10/764 (2022.01); G06V 10/7715 (2022.01); G06V 10/82 (2022.01); G06V 40/23 (2022.01); A63B 2024/0015 (2013.01); A63B 2024/0068 (2013.01); A63B 2024/0071 (2013.01); A63B 2024/0096 (2013.01); A63B 2071/065 (2013.01); A63B 2220/17 (2013.01); A63B 2220/803 (2013.01); A63B 2220/807 (2013.01); A63B 2230/62 (2013.01);
Abstract

Various systems and methods that enhance an exercise or other physical activity performed by a user are described. In some embodiments, a classification system communicates with a media hub to receive images and perform various methods for classifying or detecting poses, exercises, and/or movements performed by a user during an activity. In some embodiments, the systems and methods include a movements database (dB) that stores information as entries relating individual movements to data associated with the individual movements. Various systems, including class generation systems and body focus/activity systems, can utilize the movements database when presenting class content to users and/or presenting exercise information (e.g., muscle groups worked or targeted) to the users.


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