Abstract
An online gesture recognition system using a dynamical programming, One-Pass DP, is proposed in this paper. Firstly, 8 directions of hand motions are extracted with skin color analysis and optical flow calculation using a primary visual cortex model. Then, the patterns of motion are used to compose 40 basic templates of gestures. At last, hand gestures are recognized by the One-Pass DP algorithm. Experiments dealt with individual and compound gestures were executed by online processing, the results confirmed the effectiveness of the proposed system.
A part of this work was supported by Grant-in-Aid for Scientific Research (JSPS 20500207, 20500277, 23500181).
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Kuremoto, T., Kinoshita, Y., Feng, Lb., Watanabe, S., Kobayashi, K., Obayashi, M. (2012). A Gesture Recognition System Using One-Pass DP Method. In: Huang, DS., Gan, Y., Gupta, P., Gromiha, M.M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2011. Lecture Notes in Computer Science(), vol 6839. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25944-9_75
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DOI: https://doi.org/10.1007/978-3-642-25944-9_75
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