VR technologies for providing first aid training in emergencies: Methodology rapid development of VR-simulators tactical medicine using generative AI and photogrammetry

The monograph explores the concept and practical implementation of an intelligent system of virtual (VR) and augmented (AR) reality for training in first aid skills in conditions of war and mass destruction of civilian infrastructure. The authors substantiate the advantages of using immersive technologies over traditional training methods, particularly the ability to create realistic stress scenarios (shelling, explosions, mass casualties) in a safe environment. Special attention is paid to the use of generative artificial intelligence models (Stable Diffusion, Trellis3D, Meshy) to accelerate the creation of 2D and 3D content, reducing the time required for prototype development from weeks to several days. The technique of "damaged realism" in mobile photogrammetry for modelling of affected areas is described. The book presents the results of experimental studies that confirm the increase in the efficiency of skill acquisition (stopping bleeding, CPR, triage) by 20-30% when using VR/AR systems. The publication is intended for IT specialists, medical professionals, police, rescue service, military instructors, and scientists involved in implementing XR technologies in education.

Pagina's: 268, Paperback, LAP LAMBERT Academic Publishing