Musculoskeletal model of human gait and novel methods for real-time adaptive control algorithms using muscle force information.
Investigators: Prof. Hunter, A/Prof. Bezier, JP Dr. Schmitt
By leveraging other aspects of this programme, we aim to develop a novel real-time adaptive control algorithm that uses muscle forces obtained from an EMG-driven musculoskeletal model [BT4, BT9]. This control algorithm will be used to define a new walking gait that reduces joint contact forces. Using wearable sensors and haptic feedback, we will test the efficacy of this controller in a clinical population.