Earticle

초록

영어

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.

목차

Abstract
 1. Introduction
 2. Related Works
 3. Putting Parameter Extraction and Analysis
 4. Experiments and Conclusion
 References

키워드

저자

• Pyeoung-Kee Kim [ School of Computer Information Engineering, Silla University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605