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Review | Open Access

Graphene-based sensors for human-machine interaction

Tianrui Cui1,2, Ding Li1,2, Thomas Hirtz1,2, Jiandong Xu1,2, Yancong Qiao1,2, Haokai Xu1,2, He Tian1,2, Houfang Liu2 ( ), Yi Yang1,2 ( ), Tian-Ling Ren1,2,3( )
School of Integrated Circuit, Tsinghua University, Beijing 100084, China
Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
Center for Flexible Electronics Technology, Tsinghua University, Beijing 100084, China
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Graphical Abstract

This review introduces our typical graphene-based sensors from head to toe in a “people-oriented way” based on thediverse human-machine interaction requirements of all parts of the human body, and discuss their possibledevelopment directions including multi-model, high comfort, and intelligence.

Abstract

Since 2021, the concept of the metaverse has gained significant popularity and attention, not only among the general public but also among researchers who are interested in novel technologies and human-machine interfaces. Sensors, a critical component of human-machine interaction, have seen rapid advancements in recent years, particularly graphene-based sensors. These sensors offer a number of benefits, including flexibility, lightweight, ease of integration, and outstanding electrical properties. Over the past decade, our research team has focused on developing advanced graphene sensors for use in human-machine interaction and wearable healthcare. In this review, we showcase our team’s efforts by presenting the design, manufacturing process, and performance of various graphene-based sensors, focusing on their suitability for diverse human-machine interaction needs across the human body. Additionally, we discuss potential future directions for the development of graphene-based sensors in human-machine interaction and share our insights.

Keywords

grapheneflexible sensorwearable electronicshuman-machine interactionmetaverse

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Carbon Future
Volume 1 Issue 1,
March 2024
Pages 9200005-1-9200005-13
DOI: 10.26599/CF.2023.9200005
Cite this article:
Cui T, Li D, Hirtz T, et al. Graphene-based sensors for human-machine interaction. Carbon Future, 2024, 1(1): 9200005. https://doi.org/10.26599/CF.2023.9200005

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Received: 01 March 2023
Revised: 31 March 2023
Accepted: 11 July 2023
Published: 14 August 2023
© The Author(s) 2023.

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the original author(s) and the source, provide a link to the license, and indicate if changes were made. See https://creativecommons.org/licenses/by/4.0/.
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