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:
Mar. 11, 2025

Filed:

May. 19, 2023
Applicant:

Slyde Analytics Llc, Houston, TX (US);

Inventors:

Cyrille Gindre, Leysin, CH;

Frederic Lamon, Corin-de-la-Crête, CH;

Christophe Ramstein, Haut-Nendaz, CH;

Patrick Flaction, Chandolin-Pres-Saviese, CH;

Assignee:

Slyde Analytics LLC, Houston, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/00 (2023.01); A61B 5/00 (2006.01); A61B 5/11 (2006.01); A63K 3/00 (2006.01); G06N 5/048 (2023.01); G06Q 10/04 (2023.01); G07C 1/24 (2006.01); G09B 19/00 (2006.01); G16H 20/30 (2018.01); G16H 50/30 (2018.01);
U.S. Cl.
CPC ...
G06N 5/048 (2013.01); A61B 5/1112 (2013.01); A61B 5/1118 (2013.01); A61B 5/112 (2013.01); A61B 5/1122 (2013.01); A61B 5/681 (2013.01); A61B 5/7264 (2013.01); A61B 5/7275 (2013.01); A63K 3/00 (2013.01); G06Q 10/04 (2013.01); G07C 1/24 (2013.01); G09B 19/0038 (2013.01); G16H 20/30 (2018.01); G16H 50/30 (2018.01); A61B 5/6803 (2013.01); A61B 5/6807 (2013.01); A61B 2503/10 (2013.01); A61B 2562/0219 (2013.01);
Abstract

A method and system for optimizing an athlete's performance during a race using a wearable device. The method involves determining the athlete's performance level from past races or trainings, and collecting race data through a wearable sensor. This data helps retrieve a tailored race profile from several options, each a non-linear function of time over distance, optimized for the athlete's level. The selected profile is applied to the sensor data to compute a projected race time, which is then displayed on the device. The system also measures and displays other race parameters such as stride length, cadence, and physiological metrics. It adjusts recommendations for pace in real-time based on these inputs. Advanced features include neural networks for enhancing race profile accuracy using data from multiple athletes. The device's processor and memory manage these functions effectively, providing dynamic feedback and strategic adjustments during the race, aiming to significantly improve athletic performance.


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