Automation of virtual interview system using the gesture recognition of particle filter

  • Authors:
  • Yang Weon Lee

  • Affiliations:
  • Department of Information and Communication Engineering, Honam University, Seobongdong, Gwangsangu, Gwangju, South Korea

  • Venue:
  • ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper describes a gesture recognition algorithm based on the particle filters for automation of virtual interview system. The particle filter is well operated for human gesture 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