This project is aimed at developing a non-invasive strategy for the somatotopic and real-time restoration of proprioceptive perception for upper limb prosthesis users. The results of this project will be used in designing more effective hand prostheses. 

In this project, a motion intention classifiers for transradial (TR) amputees is developed based on EMG data by implementing various deep learning models. The result can be useful for patients with neuromotor deficits to control an assistive robotic arm to help them with their activities of daily living.