The objective of this research is to develop a trustworthy and high-performance neural-machine interface (NMI) that accurately interprets the user’s intended movements in real-time for neural control of artificial legs.
The objective of this research is to address challenges posed by the man-machine interface. Couched in the specifics of neuroprosthetic hands, this research seeks to develop transformative methods of human-machine communication and control to enhance the capabilities of currently-limited physical resources. In the grand vision of cyber-physical systems, these advancements translate into (i) communication of tactile sensation from a remote end-effector to a human user, (ii) division of control based on the spatial and temporal capabilities of the syst
