Real-time hand gesture recognition using a color glove

Abstract

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. © 2011 Springer-Verlag.