Abstract
This paper proposes a human hand detection method for gesture recognition used for communication of a robot with a human. A human hand motion can be recognized as a different meaning according to a situation in the communication between the human and robot. We propose a steady-state genetic algorithm for extracting a time series of human hand position. Finally, we discuss the effectiveness of the proposed method through several experimental results.
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Hashimoto, S., Kubota, N., Kojima, F. (2006). Human Hand Detection Using Evolutionary Computation for Gestures Recognition of a Partner Robot. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893011_87
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DOI: https://doi.org/10.1007/11893011_87
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46542-3
Online ISBN: 978-3-540-46544-7
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