TTSWING: a Dataset for Table Tennis Swing Analysis

Based on the collected dataset, we perform pilot studies on swing analyses using various machine learning models. We introduce TTSWING, a novel dataset designed Specifically, we investigate the feasibility of using machine for table tennis swing analysis. This dataset comprises learning techniques to automatically predict a player's age, comprehensive swing information obtained gender, playing experience in years, racket-holding hand, and through 9-axis sensors integrated into custom-made swing mode, which includes swinging in the air, full power racket grips, accompanied by anonymized demographic stroke, and stable hitting. Our results demonstrate that the data of the players. We detail the data collection dataset is suitable for training and evaluating machine learning and annotation procedures.