Integrating Ontological Modelling, IoT and Humanoid Robotics for Motor Rehabilitation Systems

The difficulties of healthcare infrastructure, further highlighted by the Covid-19 pandemic, push to develop tailored and sustainable healthcare systems that exploit the integration of different methodologies and technologies. Here, we present projects I-TROPHYTS and SORTT which aim to develop an innovative framework for the real-time and semi-autonomous supervision of motor rehabilitation activities in dedicated facilities or at home. I-TROPHYTS leverages the use of ontological modelling, IoT communications and humanoid robotics to dispense with the physical presence of the physiotherapist. SORTT leverages on the use of ontological modelling and IoT to remotely monitor the rehabilitation activities of patients at home. The ontology-based modelling of the patient is central to control health and safety during the physiotherapy session, as well as to verify the quality of the patient’s exercise execution. An important challenge in these projects is the integration and evaluation of individual qualities describing the human body state and the human body movements.