AI-VR Platform for Hand Rehabilitation

Fractures and injuries can happen anytime to any person. However, there are body parts such as the upper limbs that have a high recurrence of lesions such as Carpal Tunnel Syndrome (CTS), Scaphoid fracture and Trigger Finger (TF) which are more prevalent in young adult populations. The purpose of this work is to develop an AI-VR-based hand rehabilitation system with a quantitative objective scale that aims to optimize the rehabilitation of the patients. The system analyses muscle (EMG) signals using an AI algorithm to classify different rehabilitation movements and provides visual feedback through a Virtual Reality (VR) environment. Moreover, a tracking hand system was used to acquire the difference in degrees for each movement to keep track of the hand movement in order to provide a better measure of accuracy.