Intelligent wireless sensing driven metaverse: A survey

Lingjun Zhao, Qinglin Yang, Huakun Huang, Longtao Guo, Shan Jiang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

12 Citations (Scopus)

Abstract

Metaverse seamlessly integrates the real world with the virtual world and allows avatars to carry out rich activities including creation, display, entertainment, social, and trading. It integrates the most fundamental technologies, such as Blockchain, Interaction, Games, Artificial Intelligence, Networks, and the Internet of Things, named BIGANT. Interaction technologies are significant to allow users to interact with virtual entities in physical environments via sensors, such as AR, MR, and VR. However, there are still great challenges regarding how to access the metaverse in a more intelligent, faster, and effective way, especially in capturing human positions and activities. Intelligent wireless sensing technology, integrating AI, can serve as an intelligent, flexible, non-contact way to access the metaverse and expedite the establishment of a bridge between the real physical world and the metaverse. Hence, this paper elaborates on the existing work and discusses potential important trends and hotspots in wireless sensing, especially localization, activity recognition, and pattern analysis. After that, we discussed how intelligent wireless sensing will evolve in the metaverse, together with current challenges and open issues in this topic. Through this overview, we wish readers can better understand how intelligent wireless sensing accelerates the accessing to metaverse and the insights behind the wireless sensing in the metaverse.

Original languageEnglish
Pages (from-to)46-56
Number of pages11
JournalComputer Communications
Volume214
DOIs
Publication statusPublished - 15 Jan 2024

Keywords

  • Activity recognition
  • Interaction
  • Localization
  • Metaverse
  • Wireless sensing

ASJC Scopus subject areas

  • Computer Networks and Communications

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