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ICMI
2007
Springer

A survey of affect recognition methods: audio, visual and spontaneous expressions

13 years 9 months ago
A survey of affect recognition methods: audio, visual and spontaneous expressions
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 hu...
Zhihong Zeng, Maja Pantic, Glenn I. Roisman, Thoma
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where ICMI
Authors Zhihong Zeng, Maja Pantic, Glenn I. Roisman, Thomas S. Huang
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