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

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

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.

Hanseok Ko | David K. Han | Jounghoon Beh | Cheoljong Yang | Yujeong Jang

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