Research on an inertial sensor-based human motion twin system

Inhalt:
This paper proposes a human motion twin system for real-time motion capture and reconstruction, which has the following advantages: low cost, high environmental adaptability, high degree of motion restoration, and strong versatility. Through sensor initialization calibration, the estimated motion angle error has been minimized. Test experiments are conducted to investigate the accuracy of limb movement twinning, thus verifying the motion twinning effectiveness of the proposed system. The results show that the proposed system can accurately capture and reproduce limb motion, realistically replicating human activities in real-time. A satisfactory level of subtle differences in sensor-measured motion data between real and mannequins in the virtual domain has been found. During locomotion, the variations between the rotation angles obtained from the three-axis ZYX sensor and the virtual rotation angle of a randomly chosen limb are minimized, with values of only 0.128, 0.027, and 0.031, respectively. In addition, the system enables visualization, preservation, rewinding and further analysis of limb movement data, which means it can provide a new and practical technology for rehabilitation medicine, physical therapy, ergonomics research and the creation of special effects in film and television, etc.