Metamaterials-Enabled Sensing for Human-Machine Interfacing

Сенсорные технологии на основе метаматериалов для человеко-машинного взаимодействия
Fei Li, Run Hu
2020-12-29

human-machine interfacingmetamaterials-based HMImetamaterials-enabled sensingmultimodal signal sensingsensing metamaterials
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.
1
Metamaterials provide a platform for developing highly accurate sensing materials and devices across multiple disciplines for human-machine interfacing.
2
Metamaterials-enabled HMI sensing is organized around four practical signal types: light, heat, sound, and force.
3
The review identifies significant progress over the past decade and outlines future directions for metamaterials-based HMI applications.
4
The review systematically summarizes sensing metamaterials, their operating principles, and associated human-machine interfacing applications.

metamaterials-based sensing materials and devices for human-machine interfacing

sensing of light, heat, sound, and force signals and their use in human-machine interfacing applications

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2020-12-29
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Fei Li
Run Hu
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