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:
Aug. 20, 2024

Filed:

Jan. 31, 2023
Applicant:

Under Armour, Inc., Baltimore, MD (US);

Inventors:

Michael Mazzoleni, Baltimore, MD (US);

Jeffrey Allen, Baltimore, MD (US);

F. Grant Kovach, Baltimore, MD (US);

Jeffrey Knight, Baltimore, MD (US);

Matthew Trexler, Baltimore, MD (US);

Assignee:

Under Armour, Inc., Baltimore, MD (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/11 (2006.01); A61B 5/00 (2006.01); A61B 5/0205 (2006.01); A61B 5/22 (2006.01); A63B 24/00 (2006.01);
U.S. Cl.
CPC ...
A61B 5/1118 (2013.01); A61B 5/1112 (2013.01); A61B 5/6831 (2013.01); A63B 24/0062 (2013.01); A61B 5/0205 (2013.01); A61B 5/1123 (2013.01); A61B 5/222 (2013.01); A61B 5/6807 (2013.01); A61B 5/681 (2013.01); A61B 2562/0219 (2013.01); A63B 2024/0065 (2013.01); A63B 2225/50 (2013.01);
Abstract

A method of determining a CRF level for a user of a fitness tracking system includes receiving activity data from at least one activity sensor carried by the user during a number of workouts, the activity data including distance data for each of the number of workouts, and then generating workout data based on the activity data. The method further includes storing the workout data in a memory, the memory further including demographic data for the user. When the an attribute of the workout data is less than a threshold number, the method includes determining a first CRF level for the user based on a first CRF model. When the attribute of the workout data is greater than the threshold number, the method includes determining a second CRF level for the user based on a second CRF model.


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