Hand gesture recognition based on perceptual shape decomposition with a Kinect camera

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Abstract

In this paper, we propose the Perceptual Shape Decomposition (PSD) to detect fingers for a Kinect-based hand gesture recognition system. The PSD is formulated as a discrete optimization problem by removing all negative minima with minimum cost. Experiments show that our PSD is perceptually relevant and robust against distortion and hand variations, and thus improves the recognition system performance. Copyright © 2013 The Institute of Electronics, Information and Communication Engineers.

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APA

Wang, C., Lai, Z., & Wang, H. (2013). Hand gesture recognition based on perceptual shape decomposition with a Kinect camera. In IEICE Transactions on Information and Systems (Vol. E96-D, pp. 2147–2151). Institute of Electronics, Information and Communication, Engineers, IEICE. https://doi.org/10.1587/transinf.E96.D.2147

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