Yoshinari Takegawa

Papers

Total Citations

H-Index

About

Yoshinari Takegawa is a pioneering researcher at the intersection of sports science and artificial intelligence, with a primary focus on the physics and computational modeling of curling—a sport often described as "chess on ice." His work bridges the gap between traditional sports analytics and cutting-edge machine learning, offering novel insights into the dynamics of curling stone motion. Takegawa’s major contributions include the development of real-time trajectory prediction systems for curling stones, leveraging attention-enhanced sequential modeling and multi-dimensional feature fusion to overcome the limitations of offline, fixed-window approaches. This breakthrough enables adaptive, real-time analysis critical for robotic coaching and advanced sports analytics. His foundational paper, "Scientific Approach and Challenges of Curling Study" (2017, 2 citations), laid the groundwork by systematically exploring the physics of stone rotation and ice interaction, while his more recent 2025 work (1 citation) pushes the boundaries of predictive accuracy in dynamic environments. Though early in citation impact, Takegawa’s research represents a significant step toward integrating AI into winter sports, with potential applications in training, strategy optimization, and automated commentary. His work exemplifies how interdisciplinary approaches can transform traditional athletic practices into data-driven sciences.