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KCI 후보
데이터마이닝을 활용한 골프 스윙 최적화 분석
Quantitative Golf Swing Analysis based on Kinematic Mining Approach
( Kyu Jong Lee ) , ( Okhyun Ryou ) , ( Jihoon Kang )
UCI I410-ECN-0102-2022-600-000663910

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

INTRODUCTION
METHOD
RESULTS
DISCUSSION
CONCLUSION
ACKNOWLEDGEMENT
REFERENCES
[자료제공 : 네이버학술정보]
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