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	A Kinect-based golf swing classification system using HMM and Neuro-Fuzzy
	Zhang, Lichao ; Hsieh, Jui-Chien ; Wang, Jiangping ; Zhang LC(张立超)
	2012
关键词	Computer science Data processing Fuzzy neural networks Neural networks
英文摘要	Conference Name:2012 International Conference on Computer Science and Information Processing, CSIP 2012. Conference Address: Xi'an, Shaanxi, China. Time:August 24, 2012 - August 26, 2012.; Xi'an Technological University; IEEE Xi'an Section; Missouri Western State University; Natl. New Netw. Monit. Control Eng. Lab.; This study displays a method of scoring time-sequential postures of golf swing. Correct posture of golf swing is the most important skill for golfer training. In this paper, firstly, a game controller, Kinect, is used to capture the 3D skeleton coordination of a golfer while swing is performed. Secondly, the time-sequential posture of golf swing features has been extracted. Thirdly, a HMM-NF model is used for scoring, which combines ability of HMM model for temporal data modeling with that of Fuzzy Neural Network for fuzz rule modeling and fuzzy defined in a fuzzy (I am not sure on this!!!). Results have shown that the proposed methods can be implemented to identify and score the golf swing effectively with up to 80% accuracy rate. 漏 2012 IEEE.
语种	英语
出处	http://dx.doi.org/10.1109/CSIP.2012.6309065
出版者	IEEE Computer Society
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86762]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Zhang, Lichao,Hsieh, Jui-Chien,Wang, Jiangping,et al. A Kinect-based golf swing classification system using HMM and Neuro-Fuzzy. 2012-01-01.

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