Abstract
This paper presents a vision-based face and gesture recognition system for human-robot interaction. By using subspace method, face and predefined hand poses are detected from the three largest skin-like regions that are segmented using YIQ color representation system. In this subspace method we consider separate eigenspaces for each class or pose. Gesture is recognized using the rule-based approach whenever the combination of three skin-like regions at a particular image frame matches with the predefined gesture. These gesture commands are sent to robot through TCP/IP network for human-robot interaction. Using subspace method pose invariant face recognition has also been addressed. The effectiveness of this method has been demonstrated by interacting with an entertainment robot named AIBO.
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Hasanuzzaman, M., Zhang, T., Ampornaramveth, V., Bhuiyan, M.A., Shirai, Y., Ueno, H. (2004). Face and Gesture Recognition Using Subspace Method for Human-Robot Interaction. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds) Advances in Multimedia Information Processing - PCM 2004. PCM 2004. Lecture Notes in Computer Science, vol 3331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30541-5_46
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DOI: https://doi.org/10.1007/978-3-540-30541-5_46
Publisher Name: Springer, Berlin, Heidelberg
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