Toward natural and efficient human computer interaction

  • Authors:

  • L. Guan;Y. Wang;Y. Tie

  • Affiliations:

  • Ryerson Multimedia Research Laboratory, Ryerson University, Toronto, Canada;Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada;Ryerson Multimedia Research Laboratory, Ryerson University, Toronto, Canada

  • Venue:
  • ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
  • Year:
  • 2009

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Abstract

Effective detection, recognition, interpretation, and analysis of human physiological and behavioral characteristics are of fundamental importance in the design and development of intelligent human computer interaction (HCI) systems. This paper illustrates the issues and challenges in the design of such systems through two real examples, emotion recognition and face detection. In particular, we focus on audiovisual based bimodal emotion recognition, face detection in crowded scene, and facial fiducial points detection. The integration of these systems is expected to produce more robust and stronger performance, and provide more natural and friendly man-machine interaction.