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	A kinect based golf swing reorganization and segmentation system
	Zhang, Lic ; Hsieh, Jui-Chien ; Li, Shaozi ; Li SZ(李绍滋)
	2013
关键词	Hidden Markov models Ubiquitous computing
英文摘要	Conference Name:Joint International Conference on Pervasive Computing and the Networked World, ICPCA/SWS 2012. Conference Address: Istanbul, Turkey. Time:November 28, 2012 - November 30, 2012.; This study displays a method to recognize and segment the time-sequential postures of golf swing. It's crucial to develop a system that can effectively recognize the steps of golf swing and facilitate self-learning of correct golf swing. First, a game controller, Kinect, is used to capture the 3D skeleton coordination of a golfer while performing swing. Second, a Hidden Markov Model (HMM) is applied onto the symbol sequence to recognize and segment the postures of golf swing. Results indicate that the proposed methods can effectively identify and categorize golf swing into 5 stages In conclusions, this developed golf swing training system is cost-effective as compared to traditional camera based golf swing trainer. ? 2013 Springer-Verlag.
语种	英语
出处	http://dx.doi.org/10.1007/978-3-642-37015-1_73
出版者	Springer Verlag
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86599]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Zhang, Lic,Hsieh, Jui-Chien,Li, Shaozi,et al. A kinect based golf swing reorganization and segmentation system. 2013-01-01.

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