Abstract
User-friendly Human-Computer interaction becomes more important accordance with rapid development of various information systems. In this paper we describe a three-dimensional gesture recognition algorithm and a system that adopts the algorithm for non-contact human-computer interaction. From sequence of stereo images, five feature regions are extracted with simple color segmentation algorithm and then those are used for three dimensional locus calculation processing. However, the result is not so stable, noisy, that we introduce principal component analysis method to get more robust gesture recognition results. This method can overcome the weakness of conventional algorithms since it directly uses three-dimensional information for human gesture recognition.
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Yang, HS., Kim, JM., Park, SK. (2005). Three Dimensional Gesture Recognition Using Modified Matching Algorithm. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539117_34
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DOI: https://doi.org/10.1007/11539117_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28325-6
Online ISBN: 978-3-540-31858-3
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