Quantitative Assessment and Validation of a Stroke Rehabilitation Game

We explore a quantitative assessment for a Microsoft Kinect-based stroke rehabilitation virtual reality (VR) video game, Mystic Isle, by evaluating three assessment metrics of player hand movement- maximum range (extension), peak velocity and mean velocity. We also analyze the left-right hand symmetry by visualizing trajectories of both hands throughout the game. Assessment metrics obtained by the Kinect-based game have been validated using a Vicon motion capture system. The percentage errors of maximum range and mean velocity are less than 10%. The peak velocity metric is more sensitive to noise and sampling rate with a percentage error up to 18%.