Real-time Human Motion Tracking and Reconstruction using IMU Sensors

Human body-strap-based, and sensor-mounted clothing-based easy-to-wear motion capture systems have generated a lot of interest and been thoroughly investigated in recentm times. Body movements are typically assessed using miniature inertial measurement unit (IMU) sensors. Based on body strap IMU sensors, this paper presents a system enabling real-time human motion monitoring and reconstruction. To track fullbody motions, the system utilizes a human-body kinematicsassured orientation and position estimation technique. A threedimensional (3D) humanoid model-based motion reconstruction module is included, letting people visualize human motions in real-time. Furthermore, We can edit the motion data that has already been captured and validate joint-segment kinematics. Finally, we utilize complicated yoga exercise movements to demonstrate the accuracy in terms of orientation estimation.