Paper Title
Sport Skill Analysis with Inertial Sensors to Support Physical Education and Sports Science

This research discusses sport skill with statistical analysis on inertial sensor data. We select skateboarding as the target sport to analyze because it has been selected an official competition of Tokyo 2020 Olympic Games. A skateboard does not have any direct mechanism for moving forward, although a bicycle has pedals, crank, sprocket, and chain for direct driving mechanism. Hence a skateboarder has to do Tic-Tac, which is a basic trick to go forward on a skateboard. To gather inertial sensor data for analyzing Tic-Tac skill, we have provided a basic lesson to research participants and gave enough self-training time. We put two inertial sensors on a skateboard and waist of a research participant and got total 37 running data with Tic-Tac. According to the result of statistical analysis on the data, we confirmed that swinging a skateboard left and right is the most important motion to generate moving forward driving forth. This result means that inertial sensors are one of the effective tool to evaluate sport skill for physical education and sports science. Keywords - Sport Skill, Inertial Sensor, Skateboarding, Tic-Tac, Physical Education, Sports Science, Olympic Games.