Dynamic gesture recognition based on fuzzy neural network classifier

Ching Han Chen, Nai Yuan Liu, Kirk Chang, Gimmy Su

研究成果: 書貢獻/報告類型會議論文篇章同行評審

3 引文 斯高帕斯(Scopus)

摘要

This paper presents a dynamic gesture recognition method based on the combination of the fuzzy features of the dynamic gesture track changes and the fuzzy neural network inference system. This method first classified the dynamic gestures roughly into circular gestures and linear gestures. Further, gestures were classified narrowly into up, down, left, right, clockwise, and counter-clockwise gestures. These six dynamic gestures, which are commonly used in IP-TV controlling, were introduced as the recognition goal in our dynamic gesture recognition system. The results show that this method has a good recognition performance and fault tolerance, and more applicable to real gesture-controlled human-computer interactive environment.

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主出版物標題ACHI 2013 - 6th International Conference on Advances in Computer-Human Interactions
編輯Leslie Miller
發行者International Academy, Research and Industry Association, IARIA
頁面57-61
頁數5
ISBN(電子)9781612082509
出版狀態已出版 - 2013
事件6th International Conference on Advances in Computer-Human Interactions, ACHI 2013 - Nice, France
持續時間: 24 2月 20131 3月 2013

出版系列

名字ACHI 2013 - 6th International Conference on Advances in Computer-Human Interactions

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???event.eventtypes.event.conference???6th International Conference on Advances in Computer-Human Interactions, ACHI 2013
國家/地區France
城市Nice
期間24/02/131/03/13

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