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date: 15 December 2019

Abstract and Keywords

This chapter is from the forthcoming The Oxford Handbook of Affective Computing edited by Rafael Calvo, Sidney K. D'Mello, Jonathan Gratch, and Arvid Kappas. As technology for capturing human body movement is becoming more affordable and ubiquitous, the importance of bodily expressions is increasing as a channel for human-computer interaction. In this chapter we provide an overview of the area of automatic emotion recognition from bodily expressions. In particular, we discuss how affective bodily expressions can be captured and described to build recognition models. We briefly review the literature on affective body movement and body posture detection to identify the factors that can affect this process. We then discuss the recent advances in building systems that can automatically track and categorize affective bodily expressions. We conclude by discussing open issues and challenges as well as new directions that are being tackled in this field. We finally briefly direct the attention to aspects of body behavior that are often overlooked; some of which are dictated by the needs of real-world applications.

Keywords: body movement, automatic emotion recognition, touch behavior

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