Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Self-Organizing Maps
Early Recognition and Prediction of Gestures
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Early Recognition of Gesture Patterns Using Sparse Code of Self-Organizing Map
WSOM '09 Proceedings of the 7th International Workshop on Advances in Self-Organizing Maps
Vision-Based game interface using human gesture
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
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We propose an approach to achieve early recognition of gesture patterns. We assume that there are two people who interact with a machine, a robot or something. In such a situation, a gesture of a person often has a relationship with a gesture of another person. We exploit such a relationship to realize early recognition of gesture patterns. Early recognition is a method to recognize sequential patterns at their beginning parts. Therefore, in the case of gesture recognition, we can get a recognition result of human gestures before the gestures have finished. Recent years, some approaches have been proposed. In this paper, we expand the application range of early recognition to multiple people based on the co-occurrence of gesture patterns. In our approach, we use Self-Organizing Map to represent gesture patterns of each person, and associative memory based approach learns the relationship between cooccurring gestures. In the experiments, we have found that our proposed method achieved the early recognition more accurately and earlier than the traditional approach.