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Automation of an Interactive Interview System by Hand Gesture Recognition Using Particle Filter

  • Lee, Yang-Weon (Department of Information and Communication Engineering, Honam University)
  • Received : 2011.09.18
  • Accepted : 2011.10.15
  • Published : 2011.12.31

Abstract

This paper describes a implementation of virtual interactive interview system. A hand motion recognition algorithm based on the particle filters is applied for this system. The particle filter is well operated for human hand motion recognition than any other recognition algorithm. Through the experiments, we show that the proposed scheme is stable and works well in virtual interview system's environments.

Keywords

References

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