Motion detection and rendering for upper limb post-stroke rehabilitation: Multimedia applications for medical and healthcare education and learning; Rehabilitative and assistive technologies

In this paper will be presented a first prototype of a system that will aid stroke survivors in neuromotor rehabilitation. The system is based on two novel ideas: the augmentation of the reality for movement detection and the existence of a virtual therapist that will guide the patient through the rehabilitation sessions. The first prototype is focused on the kinematic module. This module is responsible for movements tracking not only at runtime to display them in the virtual scene using an avatar, but also to record a small set of exercises that will represent an example for a rehabilitation session.