A-22 拡張カルマンフィルタを用いた野球・素振り動作におけるバットの軌道推定法に関する研究(バットスイング)

抄録

The purpose of this study was to develop the analysis algorithm that is able to estimate the baseball bat trajectory in the practice swing motion and to examine the accuracy of the proposed method using 3D motion capture system. The measurement system in this study, which consists of inertial sensor system, measured 3-axis angular velocity and 3-axis acceleration. The sensor fusion using the extended Kalman filter compensated the drift error of the gyro sensor output and the error of dynamic acceleration of the accelerometer, and it estimated the 3D bat trajectory in a global coordinate by combining the sensor fusion and the compensation using motion characteristics. The measurement experiment was conducted to indicate the accuracy of the proposed method using 3D motion capture system. The 3D bat trajectory estimated by the proposed method corresponded with the 3D bat trajectory obtained by the 3D motion capture system. This result indicates that the drift error of gyro sensor and the error by dynamic acceleration are compensated. Therefore, the effectiveness of the proposed method was indicated and the proposed method can be used to evaluate baseball swing skill with high accuracy.