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>

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 ,