Nanomaterial-based flexible sensors for metaverse and virtual reality applications
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 proce...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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IOP Publishing
2023-01-01
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Series: | International Journal of Extreme Manufacturing |
Subjects: | |
Online Access: | https://doi.org/10.1088/2631-7990/acded1 |
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author | Jianfei Wang Jiao Suo Zhengxun Song Wen Jung Li Zuobin Wang |
author_facet | Jianfei Wang Jiao Suo Zhengxun Song Wen Jung Li Zuobin Wang |
author_sort | Jianfei Wang |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-13T00:23:24Z |
format | Article |
id | doaj.art-9a34d0b0ba134953863e1b9124791ac4 |
institution | Directory Open Access Journal |
issn | 2631-7990 |
language | English |
last_indexed | 2024-03-13T00:23:24Z |
publishDate | 2023-01-01 |
publisher | IOP Publishing |
record_format | Article |
series | International Journal of Extreme Manufacturing |
spelling | doaj.art-9a34d0b0ba134953863e1b9124791ac42023-07-11T09:22:58ZengIOP PublishingInternational Journal of Extreme Manufacturing2631-79902023-01-015303201310.1088/2631-7990/acded1Nanomaterial-based flexible sensors for metaverse and virtual reality applicationsJianfei Wang0https://orcid.org/0000-0003-3545-4638Jiao Suo1Zhengxun Song2Wen Jung Li3Zuobin Wang4International Research Centre for Nano Handling and Manufacturing of China, Changchun University of Science and Technology , Jilin 130022, People’s Republic of ChinaDepartment of Mechanical Engineering, City University of Hong Kong , Kowloon, Hong Kong Special Administrative Region of China, People’s Republic of ChinaInternational Research Centre for Nano Handling and Manufacturing of China, Changchun University of Science and Technology , Jilin 130022, People’s Republic of ChinaDepartment of Mechanical Engineering, City University of Hong Kong , Kowloon, Hong Kong Special Administrative Region of China, People’s Republic of ChinaInternational Research Centre for Nano Handling and Manufacturing of China, Changchun University of Science and Technology , Jilin 130022, People’s Republic of ChinaNanomaterial-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.https://doi.org/10.1088/2631-7990/acded1flexible sensorsmetaversevirtual realityhuman-computer interactionmachine learning |
spellingShingle | Jianfei Wang Jiao Suo Zhengxun Song Wen Jung Li Zuobin Wang Nanomaterial-based flexible sensors for metaverse and virtual reality applications International Journal of Extreme Manufacturing flexible sensors metaverse virtual reality human-computer interaction machine learning |
title | Nanomaterial-based flexible sensors for metaverse and virtual reality applications |
title_full | Nanomaterial-based flexible sensors for metaverse and virtual reality applications |
title_fullStr | Nanomaterial-based flexible sensors for metaverse and virtual reality applications |
title_full_unstemmed | Nanomaterial-based flexible sensors for metaverse and virtual reality applications |
title_short | Nanomaterial-based flexible sensors for metaverse and virtual reality applications |
title_sort | nanomaterial based flexible sensors for metaverse and virtual reality applications |
topic | flexible sensors metaverse virtual reality human-computer interaction machine learning |
url | https://doi.org/10.1088/2631-7990/acded1 |
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