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Recognition of Hand Posture for HCI Systems

  • R. S. Choraś
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 98)

Abstract

We present problem of recognizing gestures and signs executed by hands. Hand posture recognition is either the process by which gestures formed by a user interact with the computer or is the element of the special signs language to convey meaning. We propose methods for the recognition of hand gestures using Gabor wavelets (GW), Radon transform (RT) and texture features for gesture recognition. We compare these features and propose the fusion features to obtain high recognition rate.

Keywords

Color Space Hand Gesture Gabor Wavelet False Reject Rate Hand Gesture Recognition 
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 2012

Authors and Affiliations

  • R. S. Choraś
    • 1
  1. 1.Department of Telecommunications & Electrical EngineeringUniversity of Technology and Life SciencesBydgoszczPoland

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