We investigate the biomechanical and sensorimotor mechanisms underlying multi-joint motor control and translate these principles into precision rehabilitation strategies and assistive technologies for neurological and aging populations.
Our work combines 3D motion capture, surface EMG, EEG, robotic exoskeletons, and immersive virtual reality to study proprioception, interaction-torque control, and motor adaptation. By integrating multimodal neurophysiological and biomechanical measurements, we aim to identify individual neuromechanical biomarkers and develop mechanism-based interventions across the lifespan.
Measure–Adapt–Predict Framework