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

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5 Author(s)
Cheoljong Yang ; Vision Inf. Process., Korea Univ., Seoul, South Korea ; Yujeong Jang ; Jounghoon Beh ; Han, D.
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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.

Published in:

Consumer Electronics (ICCE), 2012 IEEE International Conference on

Date of Conference:

13-16 Jan. 2012