Multimodal human computer interaction: a survey

  • Authors:
  • Alejandro Jaimes;Nicu Sebe

  • Affiliations:
  • FXPAL, Fuji Xerox Co., Ltd, Japan;University of Amsterdam, The Netherlands

  • Venue:
  • ICCV'05 Proceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction
  • Year:
  • 2005

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Abstract

In this paper we review the major approaches to multimodal human computer interaction from a computer vision perspective. In particular, we focus on body, gesture, gaze, and affective interaction (facial expression recognition, and emotion in audio). We discuss user and task modeling, and multimodal fusion, highlighting challenges, open issues, and emerging applications for Multimodal Human Computer Interaction (MMHCI) research.