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:
Sep. 03, 2024

Filed:

Jul. 01, 2020
Applicant:

The Penn State Research Foundation, University Park, PA (US);

Inventors:

James Z. Wang, State College, PA (US);

Yu Luo, State College, PA (US);

Jianbo Ye, State College, PA (US);

Reginald B. Adams, Pennsylvania Furnace, PA (US);

Assignee:

THE PENN STATE RESEARCH FOUNDATION, University Park, PA;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/16 (2006.01); A61B 5/00 (2006.01); A61B 5/11 (2006.01); A61B 5/117 (2016.01); G16H 10/60 (2018.01); G16H 20/70 (2018.01); G16H 50/50 (2018.01);
U.S. Cl.
CPC ...
A61B 5/165 (2013.01); A61B 5/1128 (2013.01); A61B 5/117 (2013.01); A61B 5/7264 (2013.01); A61B 5/7275 (2013.01); G16H 10/60 (2018.01); G16H 20/70 (2018.01); G16H 50/50 (2018.01);
Abstract

An emotion analysis and recognition system including an automated recognition of bodily expression of emotion (ARBEE) system is described. The system may include program instructions executable by a processor to: receive a plurality of body movement models, each body movement model generated based on a crowdsourced body language dataset, calculate at least one evaluation metric for each body movement model, select a highest ranked body movement model based on the at least one metric calculated for each body movement model, combine the highest ranked body movement model with at least one other body movement model of the plurality of body movement models, calculate at least one evaluation metric for each combination of body movement models, and determine a highest ranked combination of body movement models to predict a bodily expression of emotion.


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