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Kinematic determinants of performance parameters during golf swing
Batbayar Khuyagbaatar1, Tserenchimed Purevsuren1, Yoon Hyuk Kim1
1Department of Mechanical Engineering, Kyung Hee University, Yongin-si, Korea.
This study identified key golf swing joint movements linked to performance metrics like X-Factor and pelvis motion. Specific knee, shoulder, and trunk movements predict golf performance and can inform training for skill improvement and injury prevention.
Area of Science:
- Biomechanics
- Sports Science
- Kinesiology
Background:
- Golf performance relies on complex trunk and pelvis kinematics.
- Specific joint contributions to golf performance parameters remain unclear.
Purpose of the Study:
- Identify key upper and lower trunk joints associated with golf performance parameters.
- Analyze relationships between joint kinematics and golf performance metrics like X-Factor and pelvis motion.
Main Methods:
- Utilized a 3D motion capture system for kinematic data acquisition.
- Analyzed golf swings from 10 low-handicap male golfers.
- Employed regression analysis to identify predictor variables.
Main Results:
- Specific joint movements (e.g., right knee adduction, shoulder rotation, elbow extension) predicted X-Factor.
- Pelvis posterior tilt and rotation during downswing/follow-through were strongly associated with pelvis motion.
- Identified key predictor variables for X-Factor and pelvis movement parameters.
Conclusions:
- Provides fundamental insights into the movement mechanisms of major joints in golf.
- Establishes relationships between specific joint kinematics and golf performance parameters.
- Findings can guide targeted training for enhanced golfing skill and injury prevention.
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