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Golf Swing Phenomena Analysis

Developed computer vision system for club and posture tracking using OpenCV, YOLO, and MediaPipe. Applied Lagrangian mechanics to model swing dynamics.

Advisor

Huang-Chia Shih

Human-Computer Interaction Multimedia Lab

Yuan Ze University

Team

Golf Swing Phenomena Analysis Team

Sheng-Kai Chen

Code Developer & Writing Paper

Tzu-Yu Liu

Physics Calculating & Writing Paper

Yan-Di Liu

Assemble & Writing Paper

Abstract

The rapid development of artificial intelligence in recent years has resulted in increasing application in sports. Meanwhile, people’s interest in watching golf tournaments has increased. This study aims to detect golfers’ posture, clubs, clubhead, and analyze each swing stage. We detect the club position when swinging and draw its trajectory; then, we use the double pendulum system and the Lagrangian equation to explain the physical phenomena in the swing phase. This will not only improve the training quality of players, but also enable golfers to use data analytic methods to determine their swing problems in real time. The swing speed could also be improved by considering the physical characteristics for players and coaches.