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Updated: Jul 29, 2025

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Biomechanical Analysis Methods to Assess Professional Badminton Players' Lunge Performance
Published on: June 11, 2019
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Future Prediction of Shuttlecock Trajectory in Badminton Using Player's Information
Yuka Nokihara1, Ryo Hachiuma1, Ryosuke Hori1
1Graduate School of Science and Technology, Keio University, Yokohama 223-8852, Japan.
Journal of Imaging
|May 26, 2023
Summary
Predicting badminton shuttlecock trajectories using video analysis and player data significantly improves accuracy. This method enhances player performance and strategic decision-making in fast-paced matches.
Area of Science:
- Sports Science
- Computer Vision
- Machine Learning
Background:
- Video analysis is crucial for net sports like badminton.
- Accurate trajectory prediction aids player performance and strategy development.
Purpose of the Study:
- To analyze data for predicting future shuttlecock trajectories in badminton.
- To provide players with a competitive advantage through enhanced prediction models.
Main Methods:
- Extracting players from match videos and analyzing their postures.
- Developing a time-series model incorporating shuttlecock and player data.
- Comparing prediction accuracy against baseline methods.
Main Results:
- The proposed method improved accuracy by 13% over shuttlecock position alone.
- Accuracy increased by 8.4% compared to methods using shuttlecock and player positions.
- Incorporating player posture data enhances trajectory prediction.
Conclusions:
- The developed method offers a significant advancement in badminton trajectory prediction.
- Integrating player biomechanics with shuttlecock dynamics improves predictive accuracy.
- This approach can be applied to enhance training and in-game strategies for badminton players.
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