2020年
帯状慣性センサを用いたカーブ時の座面形状推定
日本機械学会シンポジウム:スポーツ工学・ヒューマンダイナミクス講演論文集(CD-ROM)
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- 開催年月日
- 2020年 - 2020年
- 記述言語
- 日本語
- 会議種別
- 主催者
- 一般社団法人 日本機械学会
<p>In this paper, we propose the estimation method of face geometry during a curve using a belt-shaped inertial sensor system in which multiple inertial sensors are mounted in a belt shape. In order to reduce the effects of dynamic acceleration and drift error during operation, the roll angle and pitch angle, which are the attitude information of the inertial sensor, are estimated using sensor fusion that focuses on velocity information including centrifugal acceleration during a curve motion. The shape of the entire belt-shaped inertial sensor system can be estimated by conducting forward kinematics analysis using the rotation matrix calculated from the attitude information and the distance between the sensors and applying the adaptive Kalman filter. The effectiveness of this method is evaluated by comparing the estimation result with the measurement result of the motion capture system. It is shown that high-precision shape estimation is possible by using this method even in an environment where dynamic acceleration acts significantly during curved motion.</p>