Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.22907 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866908427452678144 |
|---|---|
| author | Shao, Yunzhe Yi, Xinyu Yin, Lu Guo, Shihui Yong, Junhai Xu, Feng |
| author_facet | Shao, Yunzhe Yi, Xinyu Yin, Lu Guo, Shihui Yong, Junhai Xu, Feng |
| contents | This paper proposes a novel method called MagShield, designed to address the issue of magnetic interference in sparse inertial motion capture (MoCap) systems. Existing Inertial Measurement Unit (IMU) systems are prone to orientation estimation errors in magnetically disturbed environments, limiting their practical application in real-world scenarios. To address this problem, MagShield employs a "detect-then-correct" strategy, first detecting magnetic disturbances through multi-IMU joint analysis, and then correcting orientation errors using human motion priors. MagShield can be integrated with most existing sparse inertial MoCap systems, improving their performance in magnetically disturbed environments. Experimental results demonstrate that MagShield significantly enhances the accuracy of motion capture under magnetic interference and exhibits good compatibility across different sparse inertial MoCap systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_22907 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | MagShield: Towards Better Robustness in Sparse Inertial Motion Capture Under Magnetic Disturbances Shao, Yunzhe Yi, Xinyu Yin, Lu Guo, Shihui Yong, Junhai Xu, Feng Computer Vision and Pattern Recognition Graphics This paper proposes a novel method called MagShield, designed to address the issue of magnetic interference in sparse inertial motion capture (MoCap) systems. Existing Inertial Measurement Unit (IMU) systems are prone to orientation estimation errors in magnetically disturbed environments, limiting their practical application in real-world scenarios. To address this problem, MagShield employs a "detect-then-correct" strategy, first detecting magnetic disturbances through multi-IMU joint analysis, and then correcting orientation errors using human motion priors. MagShield can be integrated with most existing sparse inertial MoCap systems, improving their performance in magnetically disturbed environments. Experimental results demonstrate that MagShield significantly enhances the accuracy of motion capture under magnetic interference and exhibits good compatibility across different sparse inertial MoCap systems. |
| title | MagShield: Towards Better Robustness in Sparse Inertial Motion Capture Under Magnetic Disturbances |
| topic | Computer Vision and Pattern Recognition Graphics |
| url | https://arxiv.org/abs/2506.22907 |