Mutual Information Based Gesture Recognition

نویسندگان

  • Peter J. Harding
  • Michael Topsom
  • Nicholas Costen
چکیده

Proliferation of gestural interfaces necessitates the creation of robust gesture recognition systems. A novel technique using Mutual Information to classify gestures in a recognition system is presented. As this technique is based on well-known information theory metrics the underlying operation is not as complex as many other techniques which allows for this technique to be easily implemented. A high recognition rate was achieved, 98.55% with recognition occuring in under 10ms.

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تاریخ انتشار 2011