Baseball Batting Movement Analysis System
Hsiang-Lung Huang, Ming‐Da Ke, Pin-Hsuan Kao, Ming-Te Yen, Hsiao-Yun Chang, Ya‐Hsin Hsueh · 2024
The confluence of sports analytics and technology has increasingly influenced modern athletic practices. While current literature has extensively explored the optimization of pitcher performance in baseball, the study of batting techniques remains underrepresented. Addressing this gap, our research introduces a cutting-edge batting movement analysis system utilizing the MediaPipe framework. This system is engineered to calculate and analyze critical joint angles essential to a batter’s performance. Through analysis and visualization of angle variations, the system empowers coaches to monitor and correct the athletes' movements more effectively. Implementing of this analysis system offers a quick avenue for enhancing the understanding of batting mechanics, enabling data-driven coaching strategies. This work shows the potential for advanced computational tools to help sports training.