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IoT for Movement Recognation and Prehabilitation Support System

With more than a decade of research and development, the Internet of Things (IoT) and Cyber-Physical Systems (CPS) are both promising solutions for various novel healthcare applications. This proves significant for supporting data collection on human movement detection and recognition. The paper discusses a novel concept of the IoT for healthcare applications. The focus is on the follow-up of prehabilitation programs that are essential for pre-operative patients. The solution caters for a flexible approach that benefits both supervised and unsupervised prehabilitation programs. This paper describes the overall system architecture considering a distributed computation model that includes the wearable sensors, the access points and the edge or cloud-related computing. The model can act as a baseline for a digital twin that could follow up the prehabilitation program implementation of a preoperative patient and offer the necessary information relevant to recommendations and alerts.