Digital Twin

This research introduces an exoskeleton integrating lab-fabricated sensors and a real-time digital twin framework for personalized gait rehabilitation. Using a hybrid sensor array and fuzzy control, the system dynamically adjusts assistive torque based on biomechanical data. VR feedback and communication enable immersive, adaptive training. By converging multimodal sensing with intelligent control, this platform facilitates precise motion tracking and synchronized virtual analysis for enhanced recovery.