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MINI REVIEW article

Front. Neurosci.
Sec. Neuromorphic Engineering
Volume 18 - 2024 | doi: 10.3389/fnins.2024.1383319
This article is part of the Research Topic Brain-Inspired Computing: From Neuroscience to Neuromorphic Electronics for new forms of Artificial Intelligence View all 4 articles

Advancements in Brain-Machine Interfaces for Application in the Metaverse

Provisionally accepted
Yang Liu Yang Liu 1Ruibin Liu Ruibin Liu 2Jinnian Ge Jinnian Ge 1Yue Wang Yue Wang 2*
  • 1 China Medical University, Shenyang, Liaoning Province, China
  • 2 Liaoning Cancer Hospital, China Medical University, Shenyang, Liaoning Province, China

The final, formatted version of the article will be published soon.

    In recent years, with the shift of focus in metaverse research towards content exchange and social interaction, breaking through the current bottleneck of audio-visual media interaction has become an urgent issue. The use of brain-machine interfaces for sensory simulation is one of the proposed solutions. Currently, brain-machine interfaces have demonstrated irreplaceable potential as physiological signal acquisition tools in various fields within the metaverse. This study explores three application scenarios: generative art in the metaverse, serious gaming for healthcare in metaverse medicine, and brain-machine interface applications for facial expression synthesis in the virtual society of the metaverse. It investigates existing commercial products and patents (such as MindWave Mobile, GVS, Galea), draws analogies with the development processes of network security and neurosecurity, bioethics and neuroethics, and discusses the challenges and potential issues that may arise when brain-machine interfaces mature and are widely applied. Furthermore, it looks ahead to the diverse possibilities of deep and varied applications of brain-machine interfaces in the metaverse in the future.

    Keywords: brain-machine interface, Metaverse, human-computer interaction, neurosecurity, Application'

    Received: 07 Feb 2024; Accepted: 14 May 2024.

    Copyright: © 2024 Liu, Liu, Ge and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Yue Wang, Liaoning Cancer Hospital, China Medical University, Shenyang, 110042, Liaoning Province, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.