In this paper, we describe Remote Monitoring Validation Engineering System (ReMoVES), a newly-developed platform for motion rehabilitation through serious games and biophysical sensors. The main features of the system are highlighted as follows: motion tracking capabilities through Microsoft Kinect V2 and Leap Motion are disclosed and compared with other solutions; the emotional state of the patient is evaluated with heart rate measurements and electrodermal activity monitored by Microsoft Band 2 during the execution of the functional exercises planned by the therapist. The ReMoVES platform is conceived for home-based rehabilitation after the hospitalisation period, and the system will deploy machine learning techniques to provide an automated evaluation of the patient performance during the training. The algorithms should deliver effective reports to the therapist about the training performance while the patient exercises on their own. The game features that will be described in this manuscript represent the input for the training set, while the feedback provided by the therapist is the output. To face this supervised learning problem, we are describing the most significant features to be used as key indicators of the patient’s performance along with the evaluation of their accuracy in discriminating between good or bad patient actions.

Sustainable technologies and collaborative Learning Management Systems (LMS) are investigated according to the Sustainable Development Goals (SDGs), as possible ways to improve, towards distance learning systems, education and towards it, social empowerment and development. Web -based systems, customized for academic teaching in medicine and surgery field, could help the development of cooperation among universities as well as research empowerment and exchange, useful for all the involved stakeholders. Different uses and approaches to the technological solution allow different participants to model and interact with the project despite also difficulties and environmental gaps that could occur in some LMIC.