基于纳米材料的柔性传感器,用于虚拟现实和虚拟现实应用

IF 16.1 1区 工程技术 Q1 ENGINEERING, MANUFACTURING
Jianfei Wang, Jiao Suo, Zhengxun Song, Wen Jung Li, Zuobin Wang
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引用次数: 1

摘要

基于纳米材料的柔性传感器(NMFSs)可以紧密附着在人体皮肤上或与衣服集成,以监测人体生理信息,提供医疗数据或探索超空间。纳米材料由于其易于加工、材料相容性和独特的性能而被广泛应用于柔性传感器中。本文综述了纳米纤维结构的最新进展,包括纳米颗粒、纳米线和纳米膜等各种纳米材料框架。讨论了nmfs与虚拟现实(VR)应用程序之间的不同触发交互接口,例如皮肤力学触发、温度触发、磁触发和神经触发接口。在连接物理世界和虚拟世界的背景下,机器学习(ML)已经成为处理传感器数据以控制虚拟世界/虚拟现实世界中的化身的有前途的工具,并且已经提出了许多ML算法用于虚拟交互技术。本文讨论了nmfs在虚拟现实/虚拟现实应用中的优点、缺点和前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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 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.
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来源期刊
International Journal of Extreme Manufacturing
International Journal of Extreme Manufacturing Engineering-Industrial and Manufacturing Engineering
CiteScore
17.70
自引率
6.10%
发文量
83
审稿时长
12 weeks
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.
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