Mutual Information Based Gesture Recognition

摘要

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 of 98.55% was achieved, with recognition occurring in under 10ms.