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:
Jun. 15, 2021

Filed:

Nov. 27, 2018
Applicant:

University of Central Oklahoma, Edmond, OK (US);

Inventors:

Jicheng Fu, Edmond, OK (US);

Maurice Haff, Edmond, OK (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 5/11 (2006.01); G06N 3/02 (2006.01); G16H 20/40 (2018.01); G16H 50/20 (2018.01); A61G 5/10 (2006.01); A61G 7/057 (2006.01);
U.S. Cl.
CPC ...
A61B 5/7264 (2013.01); A61B 5/0022 (2013.01); A61B 5/11 (2013.01); A61B 5/6828 (2013.01); A61B 5/6898 (2013.01); G16H 20/40 (2018.01); G16H 50/20 (2018.01); A61G 5/1067 (2013.01); A61G 5/1075 (2013.01); A61G 7/057 (2013.01); A61G 2203/10 (2013.01); G05B 2219/36442 (2013.01); G06N 3/02 (2013.01);
Abstract

A system for guiding and evaluating physical positioning, orientation and motion of the human body, comprising: a cloud computing-based subsystem including an artificial neural network and spatial position analyzer said cloud computing-based subsystem adapted for data storage, management and analysis; at least one motion sensing device wearable on the human body, said at least one motion sensing device adapted to detect changes in at least one of spatial position, orientation, and rate of motion; a mobile subsystem running an application program (app) that controls said at least one motion sensing device, said mobile subsystem adapted to capture activity data quantifying said changes in at least one of spatial position, orientation, and rate of motion, said mobile subsystem further adapted to transfer said activity data to said cloud computing-based subsystem, wherein said cloud computing-based subsystem processes, stores, and analyzes said activity data.


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