Physiotherapy assessment based on Kinect and mobile APPs

The paper describes a set of frameworks developed to materialize physiotherapy assessment. Using data provided by the Microsoft Kinect sensor associated with upper limb joint position and Artificial Neural Network classification algorithms an evaluation and correction of the patients´ exercises can be done, helping therapists to improve the effectiveness of training sessions. To improve the patient motivation a set of Kinect serious games for upper limbs training assures 3D data capture of the patients´ joints and data storage in a remote database. Through a web based information system or mobile APPs the data associated with upper limb motion can be further visualized by the physiotherapists on their assessments but also to perform the serious game setting according to the patient specific needs. The developed frameworks intend to be a starting point for the remote physiotherapy in the smart health context, allowing high quality of service and cost reduction.