Handy: A real-time three color glove-based gesture recognizer with learning vector quantization

This paper presents Handy, a real-time hand gesture recognizer based on a three 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.

► The paper presents Handy, a real-time color glove-based hand gesture recognizer.
► Handy requires low-cost resources such as a netbook and a webcam.
► Handy uses leaning vector quantization, as classifier.
► Handy, tested on a dataset of 900 gestures, has shown very high recognition rates.