Autors: Koshnicharova, D. I., Nidhi., Mihovska, A., Koleva, P. H., Poulkov, V. K.
Title: Data-driven Interactive Crowd Management Systems for Metaverse Scenarios
Keywords: Artificial Intelligence; Crowd Management

Abstract: Understanding human behavior in urban settings has never been more accessible thanks to the growing accessibility of enormous volumes of data produced by people, cars, and other connected objects. We are entering a new era of innovation and creativity with the Metaverse. It will integrate comprehensive technologies such as 3D imaging, eXtended reality (XR), and advanced sensing into next-generation Internet services. Moreover, recent advances in disruptive technology, such as Artificial Intelligence (AI), and Machine Learning (ML), adding to the increasing decentralization of the Internet due to the possibility to deploy complex analytics across Edge-Cloud, are driving the further development of the Metaverse, as a 3D network of experiences and services. It allows users a sense of synchronous and persistent presence, with continuity of data, which highlights Crowd Management (CM) techniques to manage and control data-driven communications.

References

    Issue

    in Proceedings of International Symposium on Wireless Personal Multimedia Communications (WPMC), Herning, Denmark, 30 October-02 November 2022, pp. 549-554, 2022, Denmark, IEEE Computer Society, DOI 10.1109/WPMC55625.2022.10014794

    Copyright IEEE

    Цитирания (Citation/s):
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    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus и Web of Science