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date: 15 December 2019

Abstract and Keywords

This chapter provides a synthesis of research on multimodal affect recognition and discusses methodological considerations and challenges arising from the design of a multimodal affect recognition system for naturalistic human-computer and human-robot interactions. Identified challenges include the collection and annotation of spontaneous affective expressions, the choice of appropriate methods for feature representation and selection in a multimodal context, and the need for context sensitivity and for classification schemes that take into account the dynamic nature of affect and the relationship between different modalities. Finally, two examples of multimodal affect recognition systems used in (soft) real-time naturalistic human-computer and human-robot interaction frameworks are presented.

Keywords: multimodal affect recognition, feature representation and selection, context sensitivity, human-computer interaction, human-robot interaction

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