Towards the basic principles of osmotic computing: A closed-loop gamified cognitive rehabilitation flow model

The Internet of Medical Things (IoMT) is a sweeping revolution in the healthcare industry, with IoT quickly establishing itself as a critical part of modern healthcare. The rapid proliferation of such IoMT devices can bring limitations to the current Cloud-IoT centric infrastructures which are not designed to handle huge volumes and velocity of data generated. To address this problem, it is necessary to revisit the network architecture, pushing some data, processing and services directly on the edge nodes of the network where the data originates, away from the centralized Cloud. In this context, Osmotic Computing (OC) aims to provide a new paradigm for the integration between a centralized Cloud layer and Edge/IoT layers. The deployment and migration strategies through the Cloud and Edge layers depend on the infrastructures and applications requirements. This scientific work promotes the basic principles behind the OC paradigm and proposes a closed-loop OC flow model applied to a gamified cognitive rehabilitation use case. Moreover, the use case introduces the development of a customized virtual reality system based on a serious game which allows the patient to carry out physical and cognitive rehabilitation therapies using a natural user interface based on Microsoft Kinect.