Adaptive Real-time Non-invasive Neuroprosthesis Hand
Prostheses/Neuro-prostheses can significantly improve the quality of life of people who have suffered from neurological disabilities. These devices are becoming widespread therapeutic solutions (i.e., parkinson's disease, retinal implants, walking rehabilitation, restoration of sensory feedback in limb prostheses, breast engorgement or palpation, etc.). However, unlike living agents that combine different sensory inputs to perform a complex task accurately, most prosthetics and neuro-robotics arms use uni-sensory input, which affects their accuracy. Therefore, understanding the richness of the sensorimotor functions of the prosthesis hand remains one of the challenges in modern science and engineering. This project investigates advanced real-time neuromorphic prosthesis hand, named AIzuHand, with sensorimotor integration and feedback sensing. We aim to develop solutions for controlling prosthetic limbs to restore movement to people with neurologic impairment and amputation.
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