DocumentCode
2120990
Title
Technique for automatic emotion recognition by body gesture analysis
Author
Glowinski, Donald ; Camurri, Antonio ; Volpe, Gualtiero ; Dael, Nele ; Scherer, Klaus
Author_Institution
InfoMus Lab.-Casa Paganini, Genoa Univ., Genoa
fYear
2008
fDate
23-28 June 2008
Firstpage
1
Lastpage
6
Abstract
This paper illustrates our recent work on the analysis of expressive gesture related to the motion of the upper body (the head and the hands) in the context of emotional portrayals performed by professional actors. An experiment is presented which is the result of a multidisciplinary joint work. The experiment aims at (i) developing models and algorithms for analysis of such expressive content (ii) individuating which motion cues are involved in conveying the actorpsilas expressive intentions to portray four emotions (anger, joy, relief, sadness) via a scenario approach. The paper discusses the experiment in detail with reference to related conceptual issues, developed techniques, and the obtained results.
Keywords
emotion recognition; automatic emotion recognition; body gesture analysis; emotional portrayals; professional actors; Algorithm design and analysis; Auditory displays; Computer science; Data mining; Emotion recognition; Humans; Information analysis; Motion analysis; Performance analysis; Psychology;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on
Conference_Location
Anchorage, AK
ISSN
2160-7508
Print_ISBN
978-1-4244-2339-2
Electronic_ISBN
2160-7508
Type
conf
DOI
10.1109/CVPRW.2008.4563173
Filename
4563173
Link To Document