Evaluating the post-stroke patients progress using an Augmented Reality Rehabilitation system

A stroke has been considered one of the leading causes of death in the world. Survivors suffer from major or minor disabilities in their motor functions so that they are unable to carry on their daily activities, therefore, they go through a rehabilitation process to recover their motor abilities up to a certain point. Recently, the fields of virtual reality and haptic have been investigated for use in rehabilitation. In this paper, we propose a novel approach based on Augmented Reality (AR) technology with two main goals as driving forces: First, the system enhances the patient involvement in the rehabilitation exercise, and second, the system measures the patient performance without the direct supervision of a therapist. We called this system AR-REHAB, for Augmented Reality REHABilitation. In addition, the system is empowered with an intelligent decision support engine to assess the patients´ progress to help therapists fine-tune the exercises based on the patient´s progress.