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Topical Review | Open Access

Nanomaterial-based flexible sensors for metaverse and virtual reality applications

Jianfei Wang1,3Jiao Suo2,3Zhengxun Song1Wen Jung Li2( )Zuobin Wang1( )
International Research Centre for Nano Handling and Manufacturing of China, Changchun University of Science and Technology, Jilin 130022, People’s Republic of China
Department of Mechanical Engineering, City University of Hong Kong, Kowloon, Hong Kong Special Administrative Region of China, People’s Republic of China

3 These authors have contributed equally on this work.

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Abstract

Nanomaterial-based flexible sensors (NMFSs) can be tightly attached to the human skin or integrated with clothing to monitor human physiological information, provide medical data, or explore metaverse spaces. Nanomaterials have been widely incorporated into flexible sensors due to their facile processing, material compatibility, and unique properties. This review highlights the recent advancements in NMFSs involving various nanomaterial frameworks such as nanoparticles, nanowires, and nanofilms. Different triggering interaction interfaces between NMFSs and metaverse/virtual reality (VR) applications, e.g. skin-mechanics-triggered, temperature-triggered, magnetically triggered, and neural-triggered interfaces, are discussed. In the context of interfacing physical and virtual worlds, machine learning (ML) has emerged as a promising tool for processing sensor data for controlling avatars in metaverse/VR worlds, and many ML algorithms have been proposed for virtual interaction technologies. This paper discusses the advantages, disadvantages, and prospects of NMFSs in metaverse/VR applications.

International Journal of Extreme Manufacturing
Article number: 032013
Cite this article:
Wang J, Suo J, Song Z, et al. Nanomaterial-based flexible sensors for metaverse and virtual reality applications. International Journal of Extreme Manufacturing, 2023, 5(3): 032013. https://doi.org/10.1088/2631-7990/acded1

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Received: 16 February 2023
Revised: 03 April 2023
Accepted: 15 June 2023
Published: 11 July 2023
© 2023 The Author(s).

Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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