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Biomechanical Analysis Methods to Assess Professional Badminton Players' Lunge Performance
Published on: June 11, 2019
Shoulder-elbow coordination in the transverse plane during badminton forehand drive depending on training status
1Department of Software Convergence, Soonchunhyang University, Asan, South Korea.
Human Movement Science
|June 10, 2026
Summary
Training status significantly impacts badminton forehand drive coordination. Trained players exhibit distinct shoulder and elbow movement patterns, optimizing kinetic transfer for powerful shots.
Area of Science:
- Biomechanics
- Sports Science
- Motor Control
Background:
- The badminton forehand drive requires complex coordination between shoulder and elbow joints.
- Understanding how training influences this coordination is crucial for performance enhancement.
Purpose of the Study:
- To investigate the differences in shoulder and elbow transverse plane coordination during the badminton forehand drive between trained and untrained individuals.
- To identify distinct coordination strategies employed by different skill levels.
Main Methods:
- Utilized motion capture to record upper limb kinematics in 15 trained and 15 untrained participants.
- Applied vector coding and coupling angle mapping to analyze shoulder and elbow joint coordination.
- Computed range of motion and employed principal component analysis for phase count differentiation.
Main Results:
- Trained participants demonstrated greater upper limb range of motion and a distinct coordination sequence, transitioning from Anti-Phase to In-Phase near impact, with shoulder internal rotation dominance.
- Untrained participants showed a different inter-joint sequencing pattern, often starting In-Phase and ending Anti-Phase.
- Phase count analysis and principal component analysis clearly differentiated the groups based on coordination patterns.
Conclusions:
- Shoulder and elbow coordination in the transverse plane during the badminton forehand drive is significantly influenced by training status.
- Trained players adopt a proximal-dominant strategy, separating and synchronizing joint movements for efficient kinetic transfer and racket acceleration.
- Findings provide a biomechanical basis for coaching interventions aimed at developing optimal shoulder-led coordination.
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