Abstract
Recently, the new Human Computer Interactive (HCI) technologies such as gesture recognition have drawn extensive attention, which have been extended to such field as the interaction between human and machine. In this paper, the critical technology about the gesture recognition is discussed, a method to locate human hand in high speed is proposed, based on the combination of skincolour based Gauss model and the revised optical flow. Considering the characters of dynamic hand gesture, we adopt the Hidden Markov Model and use it in ‘the remote robot control system based on p2p’.
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Zhao, J., Chen, T. (2009). An Approach to Dynamic Gesture Recognition for Real-Time Interaction. In: Wang, H., Shen, Y., Huang, T., Zeng, Z. (eds) The Sixth International Symposium on Neural Networks (ISNN 2009). Advances in Intelligent and Soft Computing, vol 56. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01216-7_39
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DOI: https://doi.org/10.1007/978-3-642-01216-7_39
Publisher Name: Springer, Berlin, Heidelberg
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