From materials to structures: A holistic examination of achieving linearity in flexible pressure sensors DOI
Pei Li, Yong‐Wei Zhang, Chunbao Li

et al.

Nanotechnology, Journal Year: 2024, Volume and Issue: 36(4), P. 042002 - 042002

Published: Oct. 16, 2024

Abstract As a pivotal category in the realm of electronics skins, flexible pressure sensors have become focal point due to their diverse applications such as robotics, aerospace industries, and wearable devices. With growing demands for measurement accuracy, data reliability, electrical system compatibility, enhancing sensor’s linearity has increasingly critical. Analysis shows that nonlinearity primarily originates from mechanical nolinear deformation polymers caused by changes parameters resistance. These nonlinearities can be mitigated through geometric design, material design or combination both. This work reviews linear strategies perspectives structure materials, covering following main points: (a) an overview fundamental working mechanisms various sensors; (b) comprehensive explanation different underlying reasons; (c) detailed review existing employing these achieved effects. Additionally, this delves into sensors, spanning safety, electronic skin, health monitoring. Finally, constraints future research prospects are outlined pave way further development high-performance sensors.

Language: Английский

An intelligent dual-sensing e-skin system for pressure and temperature detection using laser-induced graphene and polydimethylsiloxane DOI Creative Commons

Guo Jingjing,

Xueqian Liu,

Zhongsen Sun

et al.

Materials & Design, Journal Year: 2024, Volume and Issue: 238, P. 112640 - 112640

Published: Jan. 8, 2024

Motivated by artificial intelligence, we present a novel electronic skin (e-skin) system capable of dual-sensing pressure and temperature signals. Our approach utilizes laser-induced graphene polydimethylsiloxane, offering simple yet efficient method for e-skin preparation. Experimental results reveal exceptional performance with good sensitivity (0.037 kPa−1 at 0–50 kPa), wide detection range (0–220 fast response time 56 ms, an ultra-low limit (30 Pa), excellent stability (8000 cycles). Additionally, the exhibits positive coefficients (0.0025 ℃-1) within 20–100 ℃, rapid 2.57 s, extremely low (1 ℃), after 50 cycles. Crucially, our intelligent system, employing Long Short-Term Memory algorithm, enables real-time multi-modal tactile perception, accurately separating mixed This versatile technology holds immense potential applications in robotics human health monitoring.

Language: Английский

Citations

16

Self‐Powered Biomimetic Pressure Sensor Based on Mn–Ag Electrochemical Reaction for Monitoring Rehabilitation Training of Athletes DOI Creative Commons

Ziyan Yang,

Qingzhou Wang,

Huixin Yu

et al.

Advanced Science, Journal Year: 2024, Volume and Issue: 11(25)

Published: April 23, 2024

Abstract Self‐powered pressure detection using smart wearable devices is the subject of intense research attention, which intended to address critical need for prolonged and uninterrupted operations. Current piezoelectric triboelectric sensors well respond dynamic stimuli while overlooking static stimuli. This study proposes a dual‐response potentiometric sensor that responds both The proposed utilizes interdigital electrodes with MnO 2 /carbon/polyvinyl alcohol (PVA) as cathode conductive silver paste anode. electrolyte layer incorporates mixed hydrogel PVA phosphoric acid. optimized sandpaper‐like microstructured surface contribute enhanced performance by facilitating an increased contact area between electrodes. features open‐circuit voltage 0.927 V, short‐circuit current 6 µA, higher sensitivity 14 mV/kPa, outstanding cycling (>5000 cycles). It can accurately recognize letter writing enable capacitor charging LED lighting. Additionally, data acquisition display system employing sensor, facilitates monitoring athletes’ rehabilitation training, machine learning algorithms effectively guide actions are presented. offers novel solutions future development devices.

Language: Английский

Citations

16

Hierarchical conducting networks constructed as resistive strain sensors for personal healthcare monitoring and robotic arm control DOI
Huijuan Lin, Jia Wang, Wei Cao

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 490, P. 151840 - 151840

Published: May 1, 2024

Language: Английский

Citations

11

A rigid–soft hybrid paper-based flexible pressure sensor with an ultrawide working range and frequency bandwidth DOI
Cong Wang, Jiamin Quan, Linpeng Liu

et al.

Journal of Materials Chemistry A, Journal Year: 2024, Volume and Issue: 12(23), P. 13994 - 14004

Published: Jan. 1, 2024

A rigid–soft hybrid design strategy to fabricate paper-based pressure sensor with ultrawide working range and frequency bandwidth.

Language: Английский

Citations

11

Multifunctional cross-sensitive magnetic alginate-chitosan-polyethylene oxide nanofiber sensor for human-machine interaction DOI
Yu Fu,

Shijie Zhao,

Boqiang Zhang

et al.

International Journal of Biological Macromolecules, Journal Year: 2024, Volume and Issue: 264, P. 130482 - 130482

Published: Feb. 29, 2024

Language: Английский

Citations

9

Ecofriendly and high-performance flexible pressure sensor derived from natural plant materials for intelligent audible and silent speech recognition DOI

X. L. Zheng,

Bingcheng Yi, Qihui Zhou

et al.

Nano Energy, Journal Year: 2024, Volume and Issue: 126, P. 109701 - 109701

Published: May 6, 2024

Language: Английский

Citations

9

Recent Advances in Graphene-Based Pressure Sensors: A Review DOI
Zhe Zhang, Quan Liu,

Hongliang Ma

et al.

IEEE Sensors Journal, Journal Year: 2024, Volume and Issue: 24(16), P. 25227 - 25248

Published: Aug. 15, 2024

In recent years, pressure sensors have been widely used as crucial technology components in industrial, healthcare, consumer electronics, and automotive safety applications. With the development of intelligent technologies, there is a growing demand for with higher sensitivity, smaller size, wider detection range. Graphene its derivatives, novel emerging materials received widespread attention from researchers due to their unique mechanical electrical properties, are considered promising sensing high-performance sensors. general, graphene-based can be classified into flexible gas this paper, we firstly introduce basic properties graphene derivatives then review research progress both respectively, focusing on different mechanisms. Finally, application prospects well future challenges discussed.

Language: Английский

Citations

8

Octopus-inspired multichannel tactile sensor for enhanced underwater material identification DOI
Yutao Hao,

Yanshuo Sun,

Jing Wen

et al.

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 160604 - 160604

Published: Feb. 1, 2025

Language: Английский

Citations

1

Double-layer stretchable composite conductive graphene-hydrogel with wide-range linear sensing and thermal-humidity management for health monitoring DOI
Yijie Wang, Xiaohong Li, Xinyu Xu

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: unknown, P. 155808 - 155808

Published: Sept. 1, 2024

Language: Английский

Citations

6

Flexible Multimodal Magnetoresistive Sensors Based on Alginate/Poly(vinyl alcohol) Foam with Stimulus Discriminability for Soft Electronics Using Machine Learning DOI
Yu Fu, Shuangkun Wang, Dong Wang

et al.

ACS Applied Materials & Interfaces, Journal Year: 2024, Volume and Issue: unknown

Published: April 10, 2024

Flexible foam-based sensors have attracted substantial interest due to their high specific surface area, light weight, superior deformability, and ease of manufacture. However, it is still a challenge integrate multimodal stimuli-responsiveness, sensitivity, reliable stability, good biocompatibility into single foam sensor. To achieve this, magnetoresistive sensor was fabricated by an in situ freezing–polymerization strategy based on the interpenetrating networks sodium alginate, poly(vinyl alcohol) conjunction with glycerol, physical reinforcement core–shell bidisperse magnetic particles. The assembled exhibited preferable magnetic/strain-sensing capability (GF ≈ 0.41 T–1 for field, 4.305 tension, −0.735 bending, −1.345 pressing), quick response time, durability up 6000 cycles under external stimuli. Importantly, machine learning algorithm developed identify encryption information, enabling recognition accuracies 99.22% 99.34%. Moreover, they could be employed as health systems detect human physiological motion integrated smart arrays perceive pressure/magnetic field distributions. This work provides simple ecofriendly fabricate biocompatible potential applications next-generation soft electronics.

Language: Английский

Citations

5