Dynamic Hand Gesture Recognition Based on Randomized Self-Organizing Map Algorithm
ALT '00 Proceedings of the 11th International Conference on Algorithmic Learning Theory
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Information Retrieval for Music and Motion
Information Retrieval for Music and Motion
A Unified Framework for Gesture Recognition and Spatiotemporal Gesture Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hand gesture recognition based on dynamic Bayesian network framework
Pattern Recognition
Hand gesture recognition using depth data
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Feature fusion for 3D hand gesture recognition by learning a shared hidden space
Pattern Recognition Letters
Comparing gesture recognition accuracy using color and depth information
Proceedings of the 4th International Conference on PErvasive Technologies Related to Assistive Environments
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To enhance a hand gesture recognition system, we compare performance in accordance with various parameters. We present an efficient framework for gesture recognition that can be easily implemented with low computational costs. Based on the simple K-NN classifier, we develop a pattern matching method through combining the Dynamic Time Warping (DTW) alignment and distance measure for similarity between two sequences. In this process, we extract various features of hand and apply various distance measure for similarity. In addition to the gesture features and distance measures, we proposed preprocessing method to enhance the performance.