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Enhancing Hand Gesture Recognition Using Fuzzy Clustering-based Mixture-of-experts Model by Jong-Won Yoon; Jun-Ki Min; Sung-Bae Cho is a scholarly article available to read on EtoBox.

What is Enhancing Hand Gesture Recognition Using Fuzzy Clustering-based Mixture-of-experts Model about?

Hand gestures have been widely applied to interface as the way of interaction between human and computers. Since a human hand can express various shapes of gestures, previous models for recognizing them cannot distinguish them accurately since they use only single model for recognition. For efficient hand gesture recognition with its enhanced performance, we propose the fuzzy c-means clustering based mixture-of-experts (FME). The proposed method uses multiple local experts obtained via fuzzy cmeans clustering and decisions from them are combined with the gating network. To evaluate the performance of the proposed method, we conduct experiments including comparisons with alternative models for hand gesture recognition. As the result of experiments, the proposed model shows improved gesture recognition performance, especially performance on similar hand gesture recognition.

Author

Jong-Won Yoon; Jun-Ki Min; Sung-Bae Cho

Publisher

ACM

Published

2011

Language

EN