<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>

Related Keywords

Gwangju , Kwangju Gwangyoksi , South Korea , United States , Minwoo Seong , Wojciech Matusik , Seungjun Kim , Daniela Rus , Joseph Delpreto , Gwangju Institute Of Science , Massachusetts Institute Of Technology , Carnegie Mellon University , Computer Interaction Institute , Method Of Research , Scientific Data , Associate Professor Seungjun Kim , Gwangju Institute , Massachusetts Institute , Jun Kim , Associate Professor , Human Computer Interaction Institute , Electrical Engineering , Mechanical Engineering , Best Paper Award , Wearable Sensor , Based Biomechanical Dataset ,