Human hand detection using evolutionary computation for gestures recognition of a partner robot

  • Authors:
  • Setsuo Hashimoto;Naoyuki Kubota;Fumio Kojima

  • Affiliations:
  • Faculty of Economics, Kyoto Gakuen University, Kameoka, Kyoto, Japan;Dept. of System Design, Tokyo Metropolitan University, Tokyo, Japan;Dept. of Mechanical and Systems Engineering, Graduate School of Science and Technology, Kobe University, Kobe, Japan

  • Venue:
  • KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
  • Year:
  • 2006

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Abstract

This paper proposes a human hand detection method for gesture recognition used for communication of a robot with a human. A human hand motion can be recognized as a different meaning according to a situation in the communication between the human and robot. We propose a steady-state genetic algorithm for extracting a time series of human hand position. Finally, we discuss the effectiveness of the proposed method through several experimental results.