Abstract
We propose an approach to achieving early recognition of gesture patterns. Early recognition is a method for recognizing sequential patterns at their earliest stage. Therefore, in the case of gesture recognition, we can get a recognition result for human gestures before the gestures are finished. The most difficult problem in early recognition is knowing when the system has determined the result. Most traditional approaches suffer from this problem, since gestures are often ambiguous. At the start of a gesture, in particular, it is very difficult to determinate the recognition result since insufficient input data have been observed. Therefore, we have improved on the traditional approach by using a self-organizing map.
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Park HS, Jung DJ, Kim HJ (2006) Vision-based game interface using human gesture. Adv Image Video Technol 4319:662–671
Park J, Yi J (2006) Gesture recognition-based interactive boxing game. Int J Inform Technol 12:36–44
Kawashima M, Shimada A, Taniguchi R (2009) Early recognition of gesture patterns using sparse code of self-organizing map. 7th International Workshop on Self-Organizing Maps, pp 116–123
Mori A, Uchida S, Kurazume R, et al (2006) Early recognition and prediction of gestures. Proceedings of the International Conference on Pattern Recognition, vol 3, pp 560–563
Uchida S, Amamoto K (2008) Early recognition of sequential patterns by classifier combination. Proceedings of the International Conference on Pattern Recognition
Kohonen T (1989) Self-organization and associative memory. Springer
Kohonen T (1995) Self-organizing maps. Springer Series in Information Science
Shimada A, Taniguchi R (2008) Gesture recognition using sparse code of hierarchical SOM. Proceedings of the International Conference on Pattern Recognition
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This work was presented in part at the 16th International symposium on Artificial Life and Robotics, Oita, Japan, January 27–29, 2011
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Shimada, A., Kawashima, M. & Taniguchi, Ri. Improvement of early recognition of gesture patterns based on a self-organizing map. Artif Life Robotics 16, 198–201 (2011). https://doi.org/10.1007/s10015-011-0917-9
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DOI: https://doi.org/10.1007/s10015-011-0917-9