Table Tennis Training Using 3D Motion Sensors
Every sport requires athletes to be trained repeatedly. For table tennis, it requires coaches to justify whether the athletes were doing the right movements during a drill. However, the training efficiency highly depends on the coach's observation and communications between trainer and trainee. In this project, we consider using 3D motion sensors to record the movements of the trainees. Through analyzing the data, the strength and the movement direction of the trainees can be studied, and the trainer can tune the movement of the trainee. In addition, the data analysis can provide the suggestions on the consistency of the movements.