Gesture Recognition Based on Fuzzy C-Means Clustering Algorithm

Robots of the future should communicate with humans in a natural way. We are especially interested in visionbased gesture interaction. This paper describes a hand gesture recognition system which will be used in a mobile robot. A Fuzzy C-Means (FCM) clustering method is used to classify hand gestures. Testing results reveal a recognition accuracy of 85.83%. We also discuss some general conclusions and future work about our hand gesture recognition system.

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