Keywords: extended reality, metaspace, augmented reality, geo-oriented AR internet, immersive technologies, XR, metaspace object model, ERML
Classification and model of objects in extended reality metaspace
UDC 004.622; 004.435; 004.55
DOI: 10.26102/2310-6018/2025.48.1.032
The article discusses the current state of augmented reality technologies and prospects for their global application. To create global distributed augmented reality networks, common approaches and standards are needed. That task requires methodological support. The relevance of the research is due to the active development of XR technologies and necessity to create a simple and universal platform for immersive content exchange. The authors propose methods for classifying metaspaces and metaspace objects. Based on classification and requirements for metaspaces, a storage model and a basic technology for creating a markup language for metaspace objects are proposed. The proposed scheme is functionally independent and will allow the markup language to be expanded with new components. A model for storing metaspace objects is proposed, the main task of the model is to ensure potential extensibility. Obtained results can be used as a basis for developing a markup language for metaspace objects and browser-interpreters for various wearable devices. The similarity of markup and approaches to displaying content will allow the development process to reuse part of the classic Internet infrastructure, such as the server part. The proposed classification will also allow wearable devices to be divided into functional categories, thereby determining their capabilities in terms of interpreting metaspaces.
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Keywords: extended reality, metaspace, augmented reality, geo-oriented AR internet, immersive technologies, XR, metaspace object model, ERML
For citation: Dorokhin V.A., Podgorny S.A., Tokareva N.A. Classification and model of objects in extended reality metaspace. Modeling, Optimization and Information Technology. 2025;13(1). URL: https://moitvivt.ru/ru/journal/pdf?id=1823 DOI: 10.26102/2310-6018/2025.48.1.032 (In Russ).
Received 21.02.2025
Revised 06.03.2025
Accepted 14.03.2025
Published 31.03.2025