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Body Movements for Affective Expression: A Survey of Automatic Recognition and Generation

Michelle Karg, Ali-Akbar Samadani, Rob Gorbet, Kolja Kühnlenz, Jesse Hoey, Dana Kulić

Year
2013
Citations
217

Abstract

Body movements communicate affective expressions and, in recent years, computational models have been developed to recognize affective expressions from body movements or to generate movements for virtual agents or robots which convey affective expressions. This survey summarizes the state of the art on automatic recognition and generation of such movements. For both automatic recognition and generation, important aspects such as the movements analyzed, the affective state representation used, and the use of notation systems is discussed. The survey concludes with an outline of open problems and directions for future work.

Keywords

Representation (politics)Affective computingExpression (computer science)Computer scienceEmotion recognitionNotationMovement (music)State (computer science)Artificial intelligencePsychology

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