Modeling therapy rehabilitation sessions using non-invasive serious games

The use of non-invasive methods for detecting motion of the human body in three dimensions has become very popular in recent years due to commercial availability of economically priced 3D sensors. In this paper, we present a web-based interactive serious game interface that uses noninvasive methods to recognize the movements of the body. Our framework provides a mechanism that can engage disabled children in playing serious games while tracking, in the background, their movements in the 3D axes. Motion data of the subjects is collected through multiple sensors in a noninvasive manner. This information can be displayed on screen in a live manner or recorded for offline replaying and data analysis. The system incorporates an intelligent authoring tool that allows the therapist to design a therapy and assign it to a patient. The subject as well as other members of the Community of Interest such as therapists, parents and caregivers can view the results at any time and thus could follow up with patient´s progress.