Use-case

MYRTUS techniques will be tested in smart mobility and virtual telerehabilitation scenarios, ensuring that the project delivers real-world benefits to users. 

Fig. Swarm-inspired cooperative telerehabilitation

HEALTHCARE USE-CASE

Swarm-inspired cooperative telerehabilitation

In home rehabilitation, people achieve higher performance interacting with a partner. Collaborative telerehabilitation has been studied for neuromotor recovery, but MYRTUS will provide the technologies to investigate a novel swarm-inspired paradigm for telerehabilitation promoting attention, visuomotor coordination, visuospatial exploration, movement recovery, pace in a group task, empathy, and engagement, while doing neurorehabilitation exergames (videogames with physical activity) at home through a self-managed rehabilitation framework enabling remote supervision and interaction between therapists, patients and virtual nodes. Human-only interaction presents two limitations: 1) the number of participants simultaneously connected might not be sufficient, and 2) triggering specific reactions and promoting adaptation, learning, and interaction among patients might be unfeasible. Here is where the living dimension of CPS becomes handy. Defining the exergame enabling an heterogenous composition of human beings and virtual agents, the latter fitting specific patient/therapist models, will overcome these issues by guaranteeing training no matter the number of connected people, while supporting the weaker patients and progressively challenging the strongest ones. The rehabilitation goal is a collaborative solution of a task in a virtual environment, according to the rules imposed by the exergame, whose specs (e.g., purpose of the rehabilitation, type of exercise, etc.) will be defined by bioengineers and rehabilitation specialists.

Fig. Intersection Safety

MOBILITY USE-CASE

Intersection Safety

Managing traffic safety at road intersections will become increasingly more complex and adaptive with the deployment of CCAM. In addition to traffic rules and traffic light controllers, roadside systems will autonomously communicate and cooperate intensively with AVs, VRUs with personal devices, and traffic safety and information services in the cloud. Roadside systems will need to be more reliable and accurate to detect and predict imminent conflicts such as red-light violations and collisions with VRUs. Connecting AVs to each other and to the infrastructure allows for collaboration on the perception of other road users (Collective Perception Messages services) to improve perception performance and reduce occlusion effects, and coordination of intentions and manoeuvres (Maneuver Coordination Message services) in order to prevent or mitigate potential safety hazards. This requires continuous adaptation and learning in a constantly changing environment with endless safety critical scenarios that could occur. Depending on the traffic situation, computational tasks can be relatively simple, or extremely complex. Dynamic offloading of tasks from edge to fog or cloud can ensure these tasks can always be performed whilst alleviating the computational burden for the different edge/fog/cloud components. It also allows sharing the “lessons learned” across all other smart infrastructures. Indeed, this kind of CPS is meant to become a living one with continuous exchange, both at the infrastructure level and with users in a seamless manner and learning processes. MYRTUS technologies will enable a next evolution in CCAM with the ability to advise and coordinate manoeuvres to avoid collisions.

MYRTUS is funded by the European Union, by grant No. 101135183. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.

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