| 大会名称 |
| 2023年 総合大会 |
| 大会コ－ド |
| 2023G |
| 開催年 |
|
2023
|
| 発行日 |
|
2023-02-28
|
| セッション番号 |
|
H-2
|
| セッション名 |
|
ヒューマン情報処理
|
| 講演日 |
|
2023/3/10
|
| 講演場所(会議室等) |
|
3号館 3303教室
|
| 講演番号 |
|
H-2-8
|
| タイトル |
|
IMU-based Lower Body Gait Trajectory Estimation with Kinematic Constraint
|
| 著者名 |
|
◎Jian Zhang, Hirotaka Uchitomi, Yoshihiro Miyake,
|
| キーワード |
|
Gait analysis, IMU, Lower body trajectory estimation
|
| 抄録 |
|
The method proposed in this pilot study estimated the lower body trajectory with only two shank-worn IMU sensors with the kinematic constraint and theoretical pelvis position calculation. Previous research estimating the whole lower body mostly aimed at the relative position of joints in 3D space, but the global trajectories of lower body segments were given in this research. This proposed method got shanks and pelvis trajectories separately, and used the results in the kinematic model to get also knee trajectory. This design kept relatively high accuracy of shank estimation and errors were reduced before put into kinematic model.
|
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|
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|
