Prostheses/Neuro-prostheses can significantly improve the quality of life of people with 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 t o perform a complex task accurately, most prosthetics and anthropomorphic robotics arms use uni-sensory input, which affects their accuracy. Yet, they are power-constrained devices due to their control approaches.

This project investigates an advanced real-time and power-efficient neuromorphic prosthesis hand, AIzuHand, with sensory motor integration and feedback sensing. We aim to develop solutions for controlling prosthetic limbs to restore movement to people with neurologic impairment and amputation.

Related Ongoing MS Theses

• PHEA Sinchhean, ''Non-Invasive AI-​based Neuroprosthetic for Transradial Amputees''

• AOYAMA Naoki,''Low-Cost Design of a 3D-Printed AI-Enabled Prosthetic Limb for Child Transhumeral Amputation''

• CHENG Hong, ''Software Platform for Controlling and Monitoring Multi-modal Robot Arm/Prosthesis''

• SAIKAWA Yamato, ''sEMG and Speech-Reinforced Control for Neuromorphic Prosthetic Grasp''

Members

• PHEA, AOYAMA, CHENG, SAIKAWA

Prototypes & Videos

• AIzuHand I
• Related project (internal)