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

Authors:
Luigi Lamberti;Francesco Camastra
Affiliations:
Istituto Tecnico Industriale "Enrico Medi", via Buongiovanni 84, 80046 San Giorgio a Cremano, Italy;Department of Applied Science, University of Naples Parthenope, Centro Direzionale Isola C4, 80143 Naples, Italy
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

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Abstract

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.