{"title":"Nanomaterial-based flexible sensors for metaverse and virtual reality applications","authors":"Jianfei Wang, Jiao Suo, Zhengxun Song, Wen Jung Li, Zuobin Wang","doi":"10.1088/2631-7990/acded1","DOIUrl":null,"url":null,"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.","PeriodicalId":52353,"journal":{"name":"International Journal of Extreme Manufacturing","volume":"1 1","pages":""},"PeriodicalIF":16.1000,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Extreme Manufacturing","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1088/2631-7990/acded1","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 1
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.
期刊介绍:
The International Journal of Extreme Manufacturing (IJEM) focuses on publishing original articles and reviews related to the science and technology of manufacturing functional devices and systems with extreme dimensions and/or extreme functionalities. The journal covers a wide range of topics, from fundamental science to cutting-edge technologies that push the boundaries of currently known theories, methods, scales, environments, and performance. Extreme manufacturing encompasses various aspects such as manufacturing with extremely high energy density, ultrahigh precision, extremely small spatial and temporal scales, extremely intensive fields, and giant systems with extreme complexity and several factors. It encompasses multiple disciplines, including machinery, materials, optics, physics, chemistry, mechanics, and mathematics. The journal is interested in theories, processes, metrology, characterization, equipment, conditions, and system integration in extreme manufacturing. Additionally, it covers materials, structures, and devices with extreme functionalities.