In this paper, we present a gestural control system to support rehabilitation exercises using the Microsoft Kinect device. More specifically, the graphical application consists of a static avatar (which represents the pose to be registered by a professional, that will be performed by the user) and a dynamic avatar (which corresponds to the user's pose in real time). The avatars are modeled from the skeletal segments of the user. For verifying the matching between the poses of the two avatars we have used the Cohen-Sutherland clipping algorithm, which quickly identifies whether or not a dynamic segment (straight line) is totally contained in a static segment (rectangular region). During the exercises a visual feedback in real-time and by segment is displayed in the system's interface, helping the user to correct the posture and, consequently, finalize the physical exercises successfully. Initial tests with participants were conducted, showing that the application is effective, simple to use, of low cost, and flexible, since automatically adjusts itself according to anatomical structures that contain segments of varying sizes.
['Kleber A. Sousa', 'José Fillus Neto', 'Édimo Sousa Silva', 'Maria Andréia Formico Rodrigues']
A Gesture Control System to Support Rehabilitation Exercises