Real-Time XR Simulation for Emergency Medical Response Training
Аннотация
EMR training requires a realistic, repeat, and scalable simulation that may adequately prepare the providers to practice in environment under high-stress variable environments, and in highly complex environment. The suggested solution is introduced as a new viable comprehensive solution in this paper and comprised of real-time Extended Reality (XR); that are an integration of Virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR) to be implemented to provide life-like immersion simulations of the emergency medical response exercises. The research critique uses a critical critique of the current XR applications used with Emergency Medical Service (EMS) education, and the incidence of the current limitations, which include lack of physiological feedback, bad interactivity, and scales. As a response to the above-mentioned cases, we can offer an AI-based and multi-user real time XR simulation model, which can have its complexity accessed depending on trainee actions, as well as its ability to react to decision-making and indicators of real-time stresses (e.g., heart rate, eye-tracking, and the voice can be modulated). It is an embodiment of adaptive mechanism of what causes training in a group more realistic, or rather more individually-determined in diverse emergency setting; the high-tech framework is, thus, adapted to train a registered company of individuals and be better prepared to an emergency that seems to have involved great number of casualties. It will be powered by commodity hardware (e.g. XR headsets; standards-compliant AR-instance tablet customizable to some level) and will be developed as a standards-compliant modular architecture, in a manner that will simplify the task of updating, its possible customization of situations, and deploying it to other institutions. Along with technical viability, the solution is highly orientated on better decision-making, arousal inoculation, psychological preparedness, training expenses, risks and logistics compared to the utilization of simulation to train the conventional approach of training group-wise. The platform abreast with the changing requirements in the training of medical responders and act as an indicator on straight road to medical responder training: a novel medical responder training, that is immersive, evidence-based and repeatable to both urban and rural location.