We propose a novel controller for powered prosthetic arms, in which EMG and gaze data are used to predict the end-point for a full arm prosthesis, which could then be used to drive the forward motion of individual joints.
Intent Prediction Based on Biomechanical Coordination of EMG and Vision-Filtered Gaze for End-Point Control of an Arm Prosthesis
Nili Krausz 