Gesture recognition using depth-based hand tracking for contactless controller application

  title={Gesture recognition using depth-based hand tracking for contactless controller application},
  author={Cheoljong Yang and Yujeong Jang and Jounghoon Beh and David K. Han and Hanseok Ko},
  journal={2012 IEEE International Conference on Consumer Electronics (ICCE)},
This paper proposes a gesture recognition system capable of providing a contactless controller via depth-based hand tracking. Main proposal is a hand tracking algorithm in depth image by calculating a hand weighted probability. An implementation of the proposed system into a contactless controller application demonstrated its effectiveness. 
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  • C. Yang, J. Yoon, J. Beh, H. Ko
  • Computers, Networks, Systems, & Industrial Eng…
  • 2011
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An inequality and associated maximization technique in statistical estimation for probabilistic functions of Markov processes

  • L. Baum
  • STO
  • 1972
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