Mingsi Sun

Papers

Total Citations

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About

Mingsi Sun is a researcher at the forefront of sports analytics and computer vision, with a particular focus on motion recognition in dynamic athletic environments. Sun’s most cited work, "Motion recognition technology of badminton players in sports video images" (2021, 31 citations), introduces innovative methods for extracting and analyzing player movements from video footage. This contribution addresses a critical challenge in sports science: accurately tracking and interpreting fast-paced, complex motions without intrusive sensors. By leveraging image processing and machine learning, Sun’s research enables coaches and analysts to gain deeper insights into player technique, strategy, and performance. The work has been recognized for its practical applications in training and real-time game analysis, bridging the gap between raw video data and actionable biomechanical feedback. Sun’s approach not only advances the field of sports technology but also offers a scalable framework for motion recognition in other high-speed sports. With a growing citation impact, Mingsi Sun continues to shape how we understand and optimize athletic performance through visual data.