Real-Time Hand Gesture Recognition Using a Color Glove

  • Luigi Lamberti
  • Francesco Camastra
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6978)

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.

Keywords

Virtual Reality Recognition Rate Gesture Recognition Segmentation Process Hand Gesture 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Luigi Lamberti
    • 1
  • Francesco Camastra
    • 2
  1. 1.Istituto Tecnico Industriale “Enrico Medi”San Giorgio a CremanoItaly
  2. 2.Department of Applied ScienceUniversity of Naples ParthenopeNaplesItaly

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