Augmented Reality for Rehabilitation Using Multimodal Feedback.

It is usual for a patient to continue performing exercises outside of the clinic and without any therapist's supervision, after being exempted from in-clinic physical therapy. While performing unsupervised exercises, it is desirable for the patient to receive similar feedback as otherwise provided by a physical therapist, to maintain an accurate execution of the rehabilitation tasks. To address this problem, several approaches have been proposed using multimodal feedback for rehabilitation. Unfortunately, the test subjects frequently reported difficulty in completely understanding the feedback given to them, therefore failing to correctly execute the given movement. In this work, we present SleeveAR, a novel approach to address multimodal feedback strategies, and evaluate which different combinations are more suitable to successfully guide a subject through an exercise prescribed by a physical therapist. Therefore we expect this work will contribute to facilitate the rehabilitation process.