A Study of Highly Sensitive Wearable Strain Sensor Based on Graphical Sensitive Units

A Study of Highly Sensitive Wearable Strain Sensor Based on Graphical Sensitive Units

The sensitivity improvement is the choke point of the soft strain sensor’s development. This paper focuses on heightening the soft strain sensor’s sensitivity through changing the sensitive unit’s shape. The sensitive units in shape of square or sine wave with different periods were studied in this...

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Main Authors: Jie Wang, Yi Du, Qiang Zhang, Zhu Jing, Kai Zhuo, Jianlong Ji, Zhongyun Yuan, Wendong Zhang, Shengbo Sang
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Journal of Sensors
Online Access:http://dx.doi.org/10.1155/2021/6634455
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spelling doaj-983497eb7e5645489f8bc7187848a7342021-02-15T12:53:06ZengHindawi LimitedJournal of Sensors1687-725X1687-72682021-01-01202110.1155/2021/66344556634455A Study of Highly Sensitive Wearable Strain Sensor Based on Graphical Sensitive UnitsJie Wang0Yi Du1Qiang Zhang2Zhu Jing3Kai Zhuo4Jianlong Ji5Zhongyun Yuan6Wendong Zhang7Shengbo Sang8Micro Nano System Research Center, Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education and Shanxi Province & College of Information and Computer, Taiyuan University of Technology, Taiyuan 030024, ChinaMicro Nano System Research Center, Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education and Shanxi Province & College of Information and Computer, Taiyuan University of Technology, Taiyuan 030024, ChinaMicro Nano System Research Center, Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education and Shanxi Province & College of Information and Computer, Taiyuan University of Technology, Taiyuan 030024, ChinaMicro Nano System Research Center, Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education and Shanxi Province & College of Information and Computer, Taiyuan University of Technology, Taiyuan 030024, ChinaMicro Nano System Research Center, Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education and Shanxi Province & College of Information and Computer, Taiyuan University of Technology, Taiyuan 030024, ChinaMicro Nano System Research Center, Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education and Shanxi Province & College of Information and Computer, Taiyuan University of Technology, Taiyuan 030024, ChinaMicro Nano System Research Center, Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education and Shanxi Province & College of Information and Computer, Taiyuan University of Technology, Taiyuan 030024, ChinaMicro Nano System Research Center, Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education and Shanxi Province & College of Information and Computer, Taiyuan University of Technology, Taiyuan 030024, ChinaMicro Nano System Research Center, Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education and Shanxi Province & College of Information and Computer, Taiyuan University of Technology, Taiyuan 030024, ChinaThe sensitivity improvement is the choke point of the soft strain sensor’s development. This paper focuses on heightening the soft strain sensor’s sensitivity through changing the sensitive unit’s shape. The sensitive units in shape of square or sine wave with different periods were studied in this work. Silver nanowires (Ag NWs) in excellent electrical conductivity and flexible polydimethylsiloxane (PDMS) were used as sensitive nanomaterials and soft substrate. The soft strain sensor whose sensitive unit is double cycled square wave performs the highest sensitivity whose gauge factor (GF) reaches to 14763.8. Based on the high sensitivity, the sensor was applied on real-time detection of the human expression.http://dx.doi.org/10.1155/2021/6634455
collection DOAJ
language English
format Article
sources DOAJ
author Jie Wang
Yi Du
Qiang Zhang
Zhu Jing
Kai Zhuo
Jianlong Ji
Zhongyun Yuan
Wendong Zhang
Shengbo Sang
spellingShingle Jie Wang
Yi Du
Qiang Zhang
Zhu Jing
Kai Zhuo
Jianlong Ji
Zhongyun Yuan
Wendong Zhang
Shengbo Sang
A Study of Highly Sensitive Wearable Strain Sensor Based on Graphical Sensitive Units
Journal of Sensors
author_facet Jie Wang
Yi Du
Qiang Zhang
Zhu Jing
Kai Zhuo
Jianlong Ji
Zhongyun Yuan
Wendong Zhang
Shengbo Sang
author_sort Jie Wang
title A Study of Highly Sensitive Wearable Strain Sensor Based on Graphical Sensitive Units
title_short A Study of Highly Sensitive Wearable Strain Sensor Based on Graphical Sensitive Units
title_full A Study of Highly Sensitive Wearable Strain Sensor Based on Graphical Sensitive Units
title_fullStr A Study of Highly Sensitive Wearable Strain Sensor Based on Graphical Sensitive Units
title_full_unstemmed A Study of Highly Sensitive Wearable Strain Sensor Based on Graphical Sensitive Units
title_sort study of highly sensitive wearable strain sensor based on graphical sensitive units
publisher Hindawi Limited
series Journal of Sensors
issn 1687-725X
1687-7268
publishDate 2021-01-01
description The sensitivity improvement is the choke point of the soft strain sensor’s development. This paper focuses on heightening the soft strain sensor’s sensitivity through changing the sensitive unit’s shape. The sensitive units in shape of square or sine wave with different periods were studied in this work. Silver nanowires (Ag NWs) in excellent electrical conductivity and flexible polydimethylsiloxane (PDMS) were used as sensitive nanomaterials and soft substrate. The soft strain sensor whose sensitive unit is double cycled square wave performs the highest sensitivity whose gauge factor (GF) reaches to 14763.8. Based on the high sensitivity, the sensor was applied on real-time detection of the human expression.
url http://dx.doi.org/10.1155/2021/6634455
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