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. 16, 2022

Filed:

Jan. 28, 2019
Applicant:

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

Inventors:

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

Michael Mazzoleni, Baltimore, MD (US);

Jeffrey Allen, Baltimore, MD (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A63B 24/00 (2006.01); G16H 20/30 (2018.01); G16H 40/67 (2018.01); G16H 40/63 (2018.01); G16H 50/70 (2018.01); G06V 40/20 (2022.01); G16H 10/60 (2018.01); G01C 22/00 (2006.01); A63B 71/06 (2006.01); G16H 80/00 (2018.01);
U.S. Cl.
CPC ...
A63B 24/0062 (2013.01); A63B 24/0003 (2013.01); G06V 40/25 (2022.01); G16H 20/30 (2018.01); G16H 40/63 (2018.01); G16H 40/67 (2018.01); G16H 50/70 (2018.01); A63B 2071/0663 (2013.01); A63B 2220/12 (2013.01); A63B 2220/22 (2013.01); G01C 22/006 (2013.01); G16H 10/60 (2018.01); G16H 80/00 (2018.01);
Abstract

A fitness tracking system for generating movement variables corresponding to movement of a user includes a monitoring device, a personal electronic device, and a remote processing server. The monitoring device is configured to be worn or carried by the user and includes a movement sensor configured to collect movement data. The personal electronic device is operably connected to the monitoring device. At least one of the personal electronic device and the monitoring device is configured to calculate feature data by applying a set of rules to the movement data, to calculate raw speed data corresponding to a speed of the user from the subset of the movement data, and to calculate raw distance data corresponding to a distance moved by the user from the subset of the movement data. The remote processing server includes a machine learning model for processing at least the feature data.


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