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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.

Patent No.:

US 12039235 B1

PDFFull Text
Date of Patent:
Jul. 16, 2024

Filed:

Mar. 20, 2023

Activities data modeling in human internet-of-things platforms

Applicant:

Theconnectedgrip, Inc., San Jose, CA (US);

Inventors:

Vincent Le Chevalier, San Jose, CA (US);

William Vablais, Indian Wells, CA (US);

Assignee:

TheConnectedGrip, Inc., San Jose, CA (US);

Attorneys:

Huse IP Law

Charles C. Huse

Primary Examiner:

Eunhee Kim

Int. Cl.
CPC ...
G06F 30/20 (2020.01); A63B 5/20 (2006.01); A63B 21/00 (2006.01); A63B 21/055 (2006.01); A63B 21/072 (2006.01); A63B 24/00 (2006.01); G06F 16/2457 (2019.01); G06F 16/28 (2019.01); G06F 16/435 (2019.01); G06F 16/735 (2019.01); H04L 67/12 (2022.01); H04L 67/306 (2022.01);
U.S. Cl.
CPC ...
G06F 30/20 (2020.01); A63B 5/20 (2013.01); A63B 21/0552 (2013.01); A63B 21/072 (2013.01); A63B 21/4035 (2015.10); A63B 24/0075 (2013.01); G06F 16/24578 (2019.01); G06F 16/283 (2019.01); G06F 16/436 (2019.01); G06F 16/735 (2019.01); H04L 67/306 (2013.01); A63B 2024/0081 (2013.01); A63B 2220/833 (2013.01); A63B 2230/04 (2013.01); A63B 2230/50 (2013.01); H04L 67/12 (2013.01);
Abstract

A method performed in a computer-implemented platform includes obtaining sensor data from sensors embedded in a first grip and a second grip of an item of fitness equipment while a user exercises using the item of fitness equipment. The user interacts with the first grip and the second grip while exercising using the item of fitness equipment. The method also includes analyzing the sensor data to determine differences in performance between the left side of the user's body and the right side of the user's body and providing personalized activity for the user to compensate for the differences.

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