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. 17, 2020

Filed:

Aug. 21, 2017
Applicant:

CM HK Limited, Fortress Hill, HK;

Inventors:

Shih-Wei Chen, Taipei, TW;

Ching-Lin Hsieh, Taipei, TW;

Assignee:

CM HK LIMITED, Fortress Hill, HK;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A63B 24/00 (2006.01); A61B 5/22 (2006.01); A61B 5/11 (2006.01); A61B 5/00 (2006.01); G16H 20/30 (2018.01); G16H 40/63 (2018.01); A61B 5/0205 (2006.01);
U.S. Cl.
CPC ...
A61B 5/222 (2013.01); A61B 5/0205 (2013.01); A61B 5/11 (2013.01); A61B 5/1116 (2013.01); A61B 5/1118 (2013.01); A61B 5/4866 (2013.01); A61B 5/7275 (2013.01); G16H 20/30 (2018.01); G16H 40/63 (2018.01); A61B 5/681 (2013.01); A61B 2562/0219 (2013.01); A63B 2220/836 (2013.01);
Abstract

Systems and methods for facilitating exercise monitoring are provided. A representative method includes: using a processor, having processor circuitry, to: obtain motion readings reported from an inertial sensor of a wearable device and corresponding to a scheduled training types; receive the schedule and a target status of a target training count or a target training time corresponding to each of the training types; determine the current training type based on the schedule; select one of the computing models based on the current training type; compare the set of matching characteristics corresponding to the current training type and the motion readings until the target status has been attained for the current training type; select a next training type based on the schedule; select another one of the computing models based on the next training type; determine activity information associated with the schedule; and compute an exercise amount of the user based on the target status, the activity information, and the schedule.


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