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GIST-MIT CSAIL Researchers Develop A Biomechanical Dataset for Badminton Performance Analysis

GIST-MIT CSAIL researchers develop a biomecha

<p><strong>In the sports industry, player data collection aids in personalized training feedback. Researchers from Gwangju Institute of Science and Technology and MIT CSAIL have gathered a detailed dataset and laid the foundation for delivering coaching assistance and feedback through the same. Utilizing wearable sensors and machine learning, their dataset offers real-time feedback and optimized movement suggestions. With over 7,763 badminton swings analyzed, stroke quality assessment offers valuable insights, making badminton training more accessible and affordable.</strong></p>

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