Detecting and Correcting IMU Movements During Joint Angle Estimation

Inertial measurement units (IMUs) increasingly function as a basic component of wearable sensor network (WSN). The IMU-based joint angle estimation (JAE) is typical usage IMUs for WSN, with extensive applications. However, the issue that move respect to their original placement during JAE still research gap and limits robustness deploying technique in real-world application scenarios. In this study, we propose detect correct IMU movement online computationally lightweight manner. particular, first experimentally investigate influence movements. Second, design metrics detecting movements by mathematically formulating how affects IMU’s measurements. Third, determine optimal thresholds synthetic data from significantly amended simulation model. Finally, correction method proposed effects We demonstrate our on both real-user data. Our achieves detection rate 94.8%, misdetection 9.8%, calculation time 2.15 ms can restore accuracy JAE. All results outperform intuitive method. promising solution This study will aid deployment