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A real-time gesture recognizer based on dynamic programming

A I Tew1, C J Gray

  • 1Department of Electronics, University of York, Heslington, UK.

Journal of Biomedical Engineering
|May 1, 1993
PubMed
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This study developed a real-time gesture recognizer for electronic pointers, achieving a 98.3% recognition rate. This technology enables control of mouse-driven software using coded gestures, enhancing user interaction.

Area of Science:

  • Human-Computer Interaction
  • Computer Vision
  • Biomedical Engineering

Background:

  • Coded gestures, physical movements with assigned meanings, can enhance electronic pointing devices.
  • Gesture distortions pose challenges for automatic recognition systems.
  • Integrating gesture control into existing software requires robust recognition algorithms.

Purpose of the Study:

  • To develop a real-time gesture recognition system for electronic pointers.
  • To enable control of mouse-driven software using coded gestures.
  • To investigate the efficacy of a dynamic programming algorithm for gesture recognition.

Main Methods:

  • A dynamic programming algorithm was developed after evaluating three techniques.
  • A real-time gesture recognizer was designed and implemented.

Related Experiment Videos

  • The system was deployed on an obsolescent microcomputer to minimize costs.

    • Main Results:

    • Preliminary trials with 10 subjects demonstrated an average gesture recognition rate of 98.3%.
    • The system achieved a low gesture confusion rate of 0.4%.
    • The implementation on cost-effective hardware proved feasible despite technical compromises.

    Conclusions:

    • The developed dynamic programming algorithm effectively recognizes coded gestures in real-time.
    • Gesture recognition technology can enhance electronic pointer functionality for software control.
    • This approach offers a viable, low-cost solution for gesture-based human-computer interaction.