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3D Parameter Extraction for Automatic Golf Putting Analysis SCOPUS

Pyeoung-Kee Kim

보안공학연구지원센터(IJSEIA) International Journal of Software Engineering and Its Applications Vol.9 No.4 2015.04 pp.133-138

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

Good putting is one of the most important factors for a good golf score because putting accounts for over 40% of strokes per round. In this paper, I proposed an automatic analysis method of golf putting using a Kinect. In the method, useful 3D putting parameters are extracted from both player body parts and putter club movement. For automatic analysis, four key putting frames are extracted and putting analysis is done in and between those key frames. I tested the proposed method on 20 putting data and found automatic analysis is done successfully. The proposed method is meaningful in three ways. First, automatic 3D putting analysis is possible without human intervention or marker attachment. Second, various putting parameters are analyzed for both body parts and putter club movement, whereas most previous works focused on putter movement. Third, cheap and easy putting analysis is possible using a Kinect.

 
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