A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions


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Zeng, Zhihong and Pantic, Maja and Roisman, Glenn I. and Huang, Thomas S. (2007) A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions. In: 9th International Conference on Multimodal Interfaces, ICMI 2007, 12-15 November 2007, Nagoya, Japan (pp. pp. 126-133).

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Abstract:Automated analysis of human affective behavior has attracted increasing attention from researchers in psychology, computer science, linguistics, neuroscience, and related disciplines. Promising approaches have been reported, including automatic methods for facial and vocal affect recognition. However, the existing methods typically handle only deliberately displayed and exaggerated expressions of prototypical emotions-despite the fact that deliberate behavior differs in visual and audio expressions from spontaneously occurring behavior. Recently efforts to develop algorithms that can process naturally occurring human affective behavior have emerged. This paper surveys these efforts. We first discuss human emotion perception from a psychological perspective. Next, we examine the available approaches to solving the problem of machine understanding of human affective behavior occurring in real-world settings. We finally outline some scientific and engineering challenges for advancing human affect sensing technology.
Item Type:Conference or Workshop Item
Copyright:© 2007 ACM
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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Link to this item:http://purl.utwente.nl/publications/64555
Official URL:http://dx.doi.org/10.1145/1322192.1322216
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