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基于石墨烯的应变和压力传感器在潜在人工智能应用中的结构-性能关系。

Structure-Property Relationships in Graphene-Based Strain and Pressure Sensors for Potential Artificial Intelligence Applications.

机构信息

Shanghai Key Laboratory of Multidimensional Information Processing, Department of Electronic Engineering, East China Normal University, Shanghai 200241, China.

Shanghai Institute of Intelligent Electronics & Systems, Fudan University, Shanghai 200433, China.

出版信息

Sensors (Basel). 2019 Mar 12;19(5):1250. doi: 10.3390/s19051250.

DOI:10.3390/s19051250
PMID:30871069
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6427630/
Abstract

Wearable electronic sensing devices are deemed to be a crucial technology of smart personal electronics. Strain and pressure sensors, one of the most popular research directions in recent years, are the key components of smart and flexible electronics. Graphene, as an advanced nanomaterial, exerts pre-eminent characteristics including high electrical conductivity, excellent mechanical properties, and flexibility. The above advantages of graphene provide great potential for applications in mechatronics, robotics, automation, human-machine interaction, etc.: graphene with diverse structures and leverages, strain and pressure sensors with new functionalities. Herein, the recent progress in graphene-based strain and pressure sensors is presented. The sensing materials are classified into four structures including 0D fullerene, 1D fiber, 2D film, and 3D porous structures. Different structures of graphene-based strain and pressure sensors provide various properties and multifunctions in crucial parameters such as sensitivity, linearity, and hysteresis. The recent and potential applications for graphene-based sensors are also discussed, especially in the field of human motion detection. Finally, the perspectives of graphene-based strain and pressure sensors used in human motion detection combined with artificial intelligence are surveyed. Challenges such as the biocompatibility, integration, and additivity of the sensors are discussed as well.

摘要

可穿戴电子传感设备被认为是智能个人电子产品的关键技术。应变和压力传感器是近年来最热门的研究方向之一,是智能和灵活电子产品的关键组成部分。作为一种先进的纳米材料,石墨烯具有突出的特性,包括高导电性、优异的机械性能和柔韧性。石墨烯的上述优势为机电一体化、机器人技术、自动化、人机交互等领域的应用提供了巨大的潜力:具有不同结构和杠杆作用的石墨烯,具有新功能的应变和压力传感器。本文介绍了基于石墨烯的应变和压力传感器的最新进展。传感材料分为四类:0D 富勒烯、1D 纤维、2D 薄膜和 3D 多孔结构。基于石墨烯的应变和压力传感器的不同结构在灵敏度、线性度和滞后等关键参数中提供了各种性能和多功能性。还讨论了基于石墨烯的传感器的最新和潜在应用,特别是在人体运动检测领域。最后,调查了基于石墨烯的应变和压力传感器与人工智能结合在人体运动检测中的应用前景。还讨论了传感器的生物相容性、集成和可加性等挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3cc/6427630/b4486806ae29/sensors-19-01250-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3cc/6427630/a9010fcd7469/sensors-19-01250-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3cc/6427630/8ca7ba669d16/sensors-19-01250-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3cc/6427630/afbf5d851b7c/sensors-19-01250-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3cc/6427630/b4486806ae29/sensors-19-01250-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3cc/6427630/a9010fcd7469/sensors-19-01250-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3cc/6427630/891098f2884b/sensors-19-01250-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3cc/6427630/c8f3b1baea5c/sensors-19-01250-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3cc/6427630/d55d91d861bd/sensors-19-01250-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3cc/6427630/6ec85f99f237/sensors-19-01250-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3cc/6427630/bc98fc4b9e8f/sensors-19-01250-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3cc/6427630/8ca7ba669d16/sensors-19-01250-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3cc/6427630/afbf5d851b7c/sensors-19-01250-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3cc/6427630/b4486806ae29/sensors-19-01250-g009.jpg

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