Korean Journal of Applied Biomechanics (한국운동역학회지)

Korean Society of Applied Biomechanics (한국운동역학회)
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Quantitative Golf Swing Analysis based on Kinematic Mining Approach

데이터마이닝을 활용한 골프 스윙 최적화 분석

  • Lee, Kyu Jong (Data Analytics Group, SAMSUNG SDS) ;
  • Ryou, Okhyun (Department of Business Administration, Korea Polytechnic University) ;
  • Kang, Jihoon (Department of Business Administration, Korea Polytechnic University)
  • Received : 2021.01.22
  • Accepted : 2021.04.20
  • Published : 2021.06.30
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Abstract

Objective: Identification of meaningful patterns and trends in large volumes of unstructured data is an important task in various research areas. In the present study, we gathered golf swing image data and did quantitative analysis of swing image. Method: We collected golf swing images of 30 novice players and 30 professional players in this study. Results: We selected important features of swing posture and employed data mining algorithm to classify whether a player is an expert or a novice. Moreover, our proposed method could offer quantitative advices for golf beginners for correcting their swing. Conclusion: Finally, we found a possibility that our proposed method can be expanded to golf swing correction system

Keywords

Acknowledgement

This study was supported by the Academic Promotion System funded by the Korea Polytechnic University (2020S02241).

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