MagShield: Towards Better Robustness in Sparse Inertial Motion Capture Under Magnetic Disturbances
Yunzhe Shao, Xinyu Yi, Lu Yin, Shihui Guo, Junhai Yong, Feng Xu
摘要
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.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper1
问问它们各自怎么用它它引用的顶会 Paper9
- AMASS: Archive of Motion Capture As Surface ShapesNaureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons-Moll 等ICCV 2019 · 被引用 1,784 次
- TransPose: real-time 3D human translation and pose estimation with six inertial sensorsXinyu Yi, Yuxiao Zhou, Feng XuSIGGRAPH 2021 · 被引用 200 次
- Physical Inertial Poser (PIP): Physics-aware Real-time Human Motion Tracking from Sparse Inertial SensorsXinyu Yi, Yuxiao Zhou, Marc Habermann, Soshi Shimada 等CVPR 2022 · 被引用 198 次
- IMUPoser: Full-Body Pose Estimation using IMUs in Phones, Watches, and EarbudsVimal Mollyn, Riku Arakawa, Mayank Goel, Chris Harrison 等CHI 2023 · 被引用 103 次
- MobilePoser: Real-Time Full-Body Pose Estimation and 3D Human Translation from IMUs in Mobile Consumer DevicesVasco Xu, Chenfeng Gao, Henry Hoffmann, Karan AhujaUIST 2024 · 被引用 37 次
相关 Paper
- IMU-HOI: A Symbiotic Framework for Coherent Human-Object Interaction and Motion Capture via Contact-Conscious Inertial FusionLizhou Lin, Songpengcheng Xia, Zengyuan Lai, Lan Sun 等CVPR 2026 · 被引用 1 次
- Transformer IMU Calibrator: Dynamic On-body IMU Calibration for Inertial Motion CaptureChengxu Zuo, Jiawei Huang, Xiao Jiang, Yuan Yao 等SIGGRAPH 2025 · 被引用 13 次
- Dynamic Inertial Poser (DynaIP): Part-Based Motion Dynamics Learning for Enhanced Human Pose Estimation with Sparse Inertial SensorsYu Zhang, Songpengcheng Xia, Lei Chu, Jiarui Yang 等CVPR 2024 · 被引用 23 次
- LiDAR-aid Inertial Poser: Large-scale Human Motion Capture by Sparse Inertial and LiDAR SensorsYiming Ren, Chengfeng Zhao, Yannan He, Peishan Cong 等IEEE VR 2023 · 被引用 50 次
- EgoLocate: Real-time Motion Capture, Localization, and Mapping with Sparse Body-mounted SensorsXinyu Yi, Yuxiao Zhou, Marc Habermann, Vladislav Golyanik 等SIGGRAPH 2023 · 被引用 62 次
