Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Self-organizing maps
The handbook of brain theory and neural networks
Virtual Reality Technology
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
Real-time hand-tracking with a color glove
ACM SIGGRAPH 2009 papers
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A Survey of Glove-Based Systems and Their Applications
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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This paper presents a real-time hand gesture recognizer based on a color glove. The recognizer is formed by three modules. The first module, fed by the frame acquired by a webcam, identifies the hand image in the scene. The second module, a feature extractor, represents the image by a nine-dimensional feature vector. The third module, the classifier, is performed by means of Learning Vector Quantization. The recognizer, tested on a dataset of 907 hand gestures, has shown very high recognition rate.