Overview

Prosthetic limbs can significantly improve the quality of life of people with amputations or neurological disabilities. With the rapid evolution of sensors and mechatronic technology, these devices are becoming widespread therapeutic solutions.

However, unlike living agents that combine different sensory inputs to perform complex tasks accurately, most prosthetic limbs rely on uni-sensory input, which affects their accuracy and usability.

Moreover, current prosthetic control strategies often depend on sequential control and power-hungry mechanisms, resulting in limited natural motion and long training procedures.

Our Goal

This project develops an advanced real-time neuromorphic prosthesis hand, AIzuHand, featuring integrated sensory fusion and feedback sensing. We also design a user-friendly software tool for calibration, real-time feedback, and functional tasks.