Kinect-based application for progress monitoring of the stroke patients

In this paper, we present a new approach for monitoring of patients during recovery after stroke. We propose quantitative measurements to characterize patients’ movements. The focus is on the large range upper body movements acquired using Kinect device. Finally, we develop a software application for visualization and interpretation of the collected sensor data and calculated measurements. The application is intended to support the clinical evaluations by medical doctors and to store the patients’ data over time. We record patients’ scores during their scheduled rehabilitation sessions. Based on the collected scores, we build the personal profile for each patient that gives insight into the movement performance over time.