Automatic Emotion Recognition Based on Body Movement Analysis: A Survey

Author

Zacharatos, Haris ; Gatzoulis, Christos ; Chrysanthou, Yiorgos L.

Author_Institution

Univ. of Cyprus, Nicosia, Cyprus

Volume

34

Issue

6

fYear

2014

fDate

Nov.-Dec. 2014

Firstpage

35

Lastpage

45

Abstract

Humans are emotional beings, and their feelings influence how they perform and interact with computers. One of the most expressive modalities for humans is body posture and movement, which researchers have recently started exploiting for emotion recognition. This survey describes emerging techniques and modalities related to emotion recognition based on body movement, as well as recent advances in automatic emotion recognition. It also describes application areas and notation systems and explains the importance of movement segmentation. It then discusses unsolved problems and provides promising directions for future research. The Web extra (a PDF file) contains tables with additional information related to the article.

Keywords

behavioural sciences computing; computer graphics; emotion recognition; gait analysis; automatic emotion recognition; body movement analysis; body posture; emotional beings; humans modalities; movement segmentation; Computer vision; Emotion recognition; Human computer interaction; Human factors; Motion segmentation; affective computing; automatic emotion recognition; body movement analysis; computer graphics; graphics;

fLanguage

English

Journal_Title

Computer Graphics and Applications, IEEE

Publisher

ieee

ISSN

0272-1716

Type

jour

DOI

10.1109/MCG.2014.106

Filename

6894478