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 a complex task accurately, most prosthetic limbs use uni-sensory input, which affects their accuracy and usability. Moreover, the methods used to control current prosthetic limbs (i.e., arms and legs) generally rely on sequential control and power-hungry strategies with limited natural motion and long and complicated training procedures.
This project develops an advanced real-time neuromorphic prosthesis hand, AIzuHand, with sensory integration and feedback sensing. In addition, we investigate a user-friendly software tool for calibration, real-time feedback, and functional tasks.....read more.
