抄録
In professional sports, motion analysis has become a fundamental tool for the creation of training menu and to prevent injuries. However, motion analysis techniques are not among ama-teurs due to the associated high costs and the need for a certain degree of expertise to process and analyze the data. Although video cameras and IMUs are successfully used to monitor athletes’ mo-tion in short-distance running sports, they require to place subjects in a controlled environment that is far from the real conditions met during a competition. Therefore, we propose a non-intrusive speed, stride, and pitch estimation method using 3D-LiDAR, which is compact and can measure real competitions. Our preliminary results show that the maximum error of the proposed method is 2.2%, indicating that the performance of the proposed method is comparable to that of video-based methods.
