Digital twin technology in biomechanics: Revolutionizing human movement analysis and rehabilitation practices

Lower limb rehabilitation exoskeletons are wearable assistive rehabilitation devices designed to protect and aid patients in rehabilitation training. However, traditional lower limb rehabilitation exoskeleton systems are limited by information acquisition technology, mostly adopting passive training with fixed trajectories and lacking real-time motion data interaction, resulting in deficiencies in the overall system’s safety and autonomy. Based on this, this study proposes a lower limb rehabilitation exoskeleton system based on digital twin technology. By leveraging digital twin technology, the system achieves a deep integration of virtual and physical spaces, improves human-machine information interaction technology, and enhances the effectiveness of rehabilitation training. Experimental results demonstrate that the system can achieve personalized gait trajectory planning and real-time motion data interaction, providing a new solution for lower limb rehabilitation.