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摩擦电接触定位电子学:系统综述

Triboelectric Contact Localization Electronics: A Systematic Review.

作者信息

Xu Wei, Ren Qingying, Li Jinze, Xu Jie, Bai Gang, Zhu Chen, Li Wei

机构信息

College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, Nanjing 210023, China.

College of Integrated Circuit Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.

出版信息

Sensors (Basel). 2024 Jan 11;24(2):449. doi: 10.3390/s24020449.

DOI:10.3390/s24020449
PMID:38257543
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10819133/
Abstract

The growing demand from the extended reality and wearable electronics market has led to an increased focus on the development of flexible human-machine interfaces (HMI). These interfaces require efficient user input acquisition modules that can realize touch operation, handwriting input, and motion sensing functions. In this paper, we present a systematic review of triboelectric-based contact localization electronics (TCLE) which play a crucial role in enabling the lightweight and long-endurance designs of flexible HMI. We begin by summarizing the mainstream working principles utilized in the design of TCLE, highlighting their respective strengths and weaknesses. Additionally, we discuss the implementation methods of TCLE in realizing advanced functions such as sliding motion detection, handwriting trajectory detection, and artificial intelligence-based user recognition. Furthermore, we review recent works on the applications of TCLE in HMI devices, which provide valuable insights for guiding the design of application scene-specified TCLE devices. Overall, this review aims to contribute to the advancement and understanding of TCLE, facilitating the development of next-generation HMI for various applications.

摘要

扩展现实和可穿戴电子产品市场不断增长的需求,导致人们越来越关注柔性人机界面(HMI)的开发。这些界面需要高效的用户输入采集模块,以实现触摸操作、手写输入和运动传感功能。在本文中,我们对基于摩擦电的接触定位电子器件(TCLE)进行了系统综述,其在实现柔性HMI的轻量化和长续航设计方面发挥着关键作用。我们首先总结了TCLE设计中使用的主流工作原理,突出了它们各自的优缺点。此外,我们讨论了TCLE在实现诸如滑动运动检测、手写轨迹检测和基于人工智能的用户识别等先进功能方面的实现方法。此外,我们回顾了TCLE在HMI设备中的应用的近期研究工作,这些工作为指导特定应用场景的TCLE设备设计提供了有价值的见解。总体而言,本综述旨在推动对TCLE的进步和理解,促进面向各种应用的下一代HMI的开发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e468/10819133/62e793c1a542/sensors-24-00449-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e468/10819133/41b2ea581e92/sensors-24-00449-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e468/10819133/88065fbf38fd/sensors-24-00449-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e468/10819133/18177fb8ebcf/sensors-24-00449-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e468/10819133/b74218da44e7/sensors-24-00449-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e468/10819133/03ed30b447d0/sensors-24-00449-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e468/10819133/62e793c1a542/sensors-24-00449-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e468/10819133/41b2ea581e92/sensors-24-00449-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e468/10819133/88065fbf38fd/sensors-24-00449-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e468/10819133/18177fb8ebcf/sensors-24-00449-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e468/10819133/b74218da44e7/sensors-24-00449-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e468/10819133/03ed30b447d0/sensors-24-00449-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e468/10819133/62e793c1a542/sensors-24-00449-g006.jpg

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