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 :
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