Using Folding Structure to Enhance Measurement Range, Sensitivity of the Flexible Sensors: A Simple, Eco‐Friendly, and Effective Method

灵敏度(控制系统) 折叠(DSP实现) 电容感应 信号(编程语言) 磁滞 计算机科学 电子工程 航程(航空) 工程类 机械工程 物理 航空航天工程 量子力学 程序设计语言 操作系统
作者
Junwen Zhu,Xing Yang,Zhanxuan Zhou,Yuyu Ren,Yuqi Xing
出处
期刊:Advanced materials and technologies [Wiley]
卷期号:6 (7) 被引量:10
标识
DOI:10.1002/admt.202001216
摘要

Abstract Flexible sensing technology has shown great application value in motion monitoring and physiological signal detection. In many applications, the detected signal has the characteristics of low strength and wide range, thus improving the sensitivity and measurement range of sensors becomes extremely important. An enhancing method based on folding structure is proposed in this paper. Through the analysis of folding structure characteristics, the theoretical model of the folding structure effect in flexible sensors is established and the enhancement effect of sensitivity and measurement range is testified through three kinds of commonly used sensors, resistive, capacitive, and inductive sensors. Through changing the number of folding units, the sensitivity and measurement range of sensors can achieve to be adjusted. Folding sensors also have good hysteresis and repeatability properties and show the great performance in the application of human motion monitoring, such as limbs bending and rotating, muscle powering. The proposed method has the characteristics of simple, economical, environment friendly, and widely suitable, meanwhile avoiding the complexity of other ways to improve performance. This work has potential to enhance the sensitivity and measurement range for more kinds of flexible sensors and is of great value to fabricate high performance sensors based on folding structure.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Ava应助科研通管家采纳,获得10
刚刚
谦让的灵阳完成签到,获得积分10
刚刚
CodeCraft应助677采纳,获得10
刚刚
无极微光应助科研通管家采纳,获得20
刚刚
Owen应助科研通管家采纳,获得10
刚刚
无花果应助科研通管家采纳,获得10
刚刚
super发布了新的文献求助10
刚刚
1秒前
黑色吐司发布了新的文献求助10
1秒前
1秒前
1秒前
1秒前
1秒前
1秒前
gzl发布了新的文献求助10
1秒前
iris2333发布了新的文献求助10
2秒前
2秒前
啦啦啦完成签到,获得积分10
3秒前
lolitam完成签到,获得积分20
3秒前
Sea_U应助大胆的向卉采纳,获得10
3秒前
Sea_U应助大胆的向卉采纳,获得10
4秒前
4秒前
4秒前
4秒前
萝卜头发布了新的文献求助10
4秒前
真君山山长完成签到,获得积分10
4秒前
5秒前
6秒前
wansc发布了新的文献求助10
6秒前
领导范儿应助sk夏冰采纳,获得30
6秒前
6秒前
Jane完成签到,获得积分20
6秒前
6秒前
斯文败类应助iris2333采纳,获得10
7秒前
8秒前
8秒前
cen发布了新的文献求助10
8秒前
李庆发布了新的文献求助10
8秒前
Niko发布了新的文献求助200
8秒前
搜集达人应助chncng12采纳,获得10
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
Elevating Next Generation Genomic Science and Technology using Machine Learning in the Healthcare Industry Applied Machine Learning for IoT and Data Analytics 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6443096
求助须知:如何正确求助?哪些是违规求助? 8257012
关于积分的说明 17584811
捐赠科研通 5501648
什么是DOI,文献DOI怎么找? 2900795
邀请新用户注册赠送积分活动 1877795
关于科研通互助平台的介绍 1717445