Automated Identification of Human Emotions by Gestures and Poses

Author

Zaboleeva-Zotova, A.V. ; Bobkov, A.S. ; Rozaliev, V.L. ; Petrovsky, A.B.

Author_Institution

CAD Dept., Volgograd State Tech. Univ., Volgograd, Russia

fYear

2013

fDate

8-11 Sept. 2013

Firstpage

300

Lastpage

303

Abstract

The paper describes a methodology, models and automated system for an identification of human emotions based on analysis of body movements, a recognition of characteristic gestures and poses. In the model of person emotions, the typical body movements are formalized with linguistic variables and fuzzy hyper graphs for temporal events. Emotional states of the real person recognized with the automated system are presented in a limited natural language.

Keywords

computational linguistics; emotion recognition; fuzzy set theory; graph theory; image motion analysis; pose estimation; video signal processing; automated human emotion identification; body movement analysis; fuzzy hypergraphs; gesture recognition; limited natural language; linguistic variables; pose recognition; Analytical models; Emotion recognition; Foot; Joints; Pragmatics; Vectors; automation; body movements; characteristic gestures and poses; fuzzy temporal events; fuzzy temporal variables; human emotions; linguistic values;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and 11th Brazilian Congress on Computational Intelligence (BRICS-CCI & CBIC), 2013 BRICS Congress on

Conference_Location

Ipojuca

Type

conf

DOI

10.1109/BRICS-CCI-CBIC.2013.57

Filename

6855866