Virtual Museum Scene Design Based on VRAR Realistic Interaction under PMC Artificial Intelligence Model

Autor: Zhang Wenyi, Liu Xiaotong
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Druh dokumentu: article
ISSN: 2444-8656
DOI: 10.2478/amns.2023.1.00200
Popis: At present, there are problems of insufficient conservation and heritage and single display channels in the field of museums. In the background of digital era, innovative new museum display mode and interaction mode can bring new exhibition experience for visitors. In this paper, we study the key technologies such as 3D scene visualization, facility and equipment simulation, and human-computer interaction simulation. Based on virtual reality and augmented reality, somatosensory interactive digital technologies, an interaction engine under multiple classifiers is proposed, an online virtual museum design strategy is built, and an all-round, multi-angle, three-dimensional interactive museum display platform is constructed. A quantitative analysis method based on the policy consistency index model is proposed to conduct user measurement and post-use evaluation of the conceived virtual museum. The application results show that the design platform can intuitively display the complex environment of an intelligent digital museum, support the development of immersive virtual roaming and virtual touch, and provide a new way to visit a new type of interactive museum.
Databáze: Directory of Open Access Journals