In the competitive world of sports, maintaining nutrition and physique is crucial for optimal performance. Badminton movements are easily tracked using video analytics. Neural networks analyze images from games to improve player techniques. The study focuses on various neural network techniques for image analysis. Machine learning aids in tactical analysis and stroke recognition. Physics behind shuttlecock trajectory is detailed for better understanding. Sensor-based models help optimize badminton performance through motion tracking. Machine learning assessments evaluate players' performance accurately. Video analysis provides insights into broadcast badminton videos for coaching and player evaluation.
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by Dhruv Toshni... at arxiv.org 03-15-2024
https://arxiv.org/pdf/2403.08956.pdfDeeper Inquiries