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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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