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2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Technique for automatic emotion recognition by body gesture analysis
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
Donald Glowinski, InfoMus Lab-Casa Paganini, University of Genoa Piazza Santa Maria in Passione, 34 - 16123 - Genoa, Italy
Antonio Camurri, InfoMus Lab-Casa Paganini, University of Genoa Piazza Santa Maria in Passione, 34 - 16123 - Genoa, Italy
Gualtiero Volpe, InfoMus Lab-Casa Paganini, University of Genoa Piazza Santa Maria in Passione, 34 - 16123 - Genoa, Italy
Nele Dael, Swiss Centre for Affective Sciences University of Geneva - CISA 7, Rue des Battoirs CH-1205 Geneva, Italy
Klaus Scherer, Swiss Centre for Affective Sciences University of Geneva - CISA 7, Rue des Battoirs CH-1205 Geneva, Italy
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 actor’s 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.
Citation:
Donald Glowinski, Antonio Camurri, Gualtiero Volpe, Nele Dael, Klaus Scherer, "Technique for automatic emotion recognition by body gesture analysis," cvprw, pp.1-6, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
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