Transactions on Neural Systems and Rehabilitation Engineering

Detecting human movement intentions is fundamental to neural control of robotic exoskeletons, as it is essential for achieving seamless transitions between different locomotion modes. In this study, we enhanced a muscle synergy-inspired method of locomotion mode identification by fusing the... Read more

  We propose the addition of environmental sensing, in the form of depth sensing, to the control of powered, lower-limb prostheses. Currently, the prediction of which locomotion mode-based controller to use has been performed using EMG from the residual limb and... Read more