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Metamaterials-Enabled Sensing for Human-Machine Interfacing

Our modern lives have been radically revolutionized by mechanical or electric machines that redefine and recreate the way we work, communicate, entertain, and travel. Whether being perceived or not, human-machine interfacing (HMI) technologies have been extensively employed in our daily lives, and o...

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Detalles Bibliográficos
Autores principales: Li, Fei, Hu, Run
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795397/
https://www.ncbi.nlm.nih.gov/pubmed/33383751
http://dx.doi.org/10.3390/s21010161
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author Li, Fei
Hu, Run
author_facet Li, Fei
Hu, Run
author_sort Li, Fei
collection PubMed
description Our modern lives have been radically revolutionized by mechanical or electric machines that redefine and recreate the way we work, communicate, entertain, and travel. Whether being perceived or not, human-machine interfacing (HMI) technologies have been extensively employed in our daily lives, and only when the machines can sense the ambient through various signals, they can respond to human commands for finishing desired tasks. Metamaterials have offered a great platform to develop the sensing materials and devices from different disciplines with very high accuracy, thus enabling the great potential for HMI applications. For this regard, significant progresses have been achieved in the recent decade, but haven’t been reviewed systematically yet. In the Review, we introduce the working principle, state-of-the-art sensing metamaterials, and the corresponding enabled HMI applications. For practical HMI applications, four kinds of signals are usually used, i.e., light, heat, sound, and force, and therefore the progresses in these four aspects are discussed in particular. Finally, the future directions for the metamaterials-based HMI applications are outlined and discussed.
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spelling pubmed-77953972021-01-10 Metamaterials-Enabled Sensing for Human-Machine Interfacing Li, Fei Hu, Run Sensors (Basel) Review Our modern lives have been radically revolutionized by mechanical or electric machines that redefine and recreate the way we work, communicate, entertain, and travel. Whether being perceived or not, human-machine interfacing (HMI) technologies have been extensively employed in our daily lives, and only when the machines can sense the ambient through various signals, they can respond to human commands for finishing desired tasks. Metamaterials have offered a great platform to develop the sensing materials and devices from different disciplines with very high accuracy, thus enabling the great potential for HMI applications. For this regard, significant progresses have been achieved in the recent decade, but haven’t been reviewed systematically yet. In the Review, we introduce the working principle, state-of-the-art sensing metamaterials, and the corresponding enabled HMI applications. For practical HMI applications, four kinds of signals are usually used, i.e., light, heat, sound, and force, and therefore the progresses in these four aspects are discussed in particular. Finally, the future directions for the metamaterials-based HMI applications are outlined and discussed. MDPI 2020-12-29 /pmc/articles/PMC7795397/ /pubmed/33383751 http://dx.doi.org/10.3390/s21010161 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Li, Fei
Hu, Run
Metamaterials-Enabled Sensing for Human-Machine Interfacing
title Metamaterials-Enabled Sensing for Human-Machine Interfacing
title_full Metamaterials-Enabled Sensing for Human-Machine Interfacing
title_fullStr Metamaterials-Enabled Sensing for Human-Machine Interfacing
title_full_unstemmed Metamaterials-Enabled Sensing for Human-Machine Interfacing
title_short Metamaterials-Enabled Sensing for Human-Machine Interfacing
title_sort metamaterials-enabled sensing for human-machine interfacing
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795397/
https://www.ncbi.nlm.nih.gov/pubmed/33383751
http://dx.doi.org/10.3390/s21010161
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