Recent advances and new frontier of flexible pressure sensors: structure engineering, performances and applications DOI
Tianhui Jiang, Chunnan Wang,

Tianyi Ling

et al.

Materials Today Physics, Journal Year: 2024, Volume and Issue: unknown, P. 101576 - 101576

Published: Oct. 1, 2024

Language: Английский

Facile preparation of porous MXene/cellulose nanofiber composite for highly-sensitive flexible piezoresistive sensors in e-skin DOI
Xiaohai Zhang, Yijie Wang, Lei Zhang

et al.

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: 505, P. 159369 - 159369

Published: Jan. 7, 2025

Language: Английский

Citations

10
Mechanical sensing by cellulose-aided composites: A critical overview DOI
Hongjian Zhang, Yebin Lee, Tiandong Zhang

et al.

Composites Part B Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112145 - 112145

Published: Jan. 1, 2025

Language: Английский

Citations

0
Natural polysaccharides-based smart sensors for health monitoring, diagnosis and rehabilitation: A review DOI
Na Li, Yu Xiao, Da‐Peng Yang

et al.

International Journal of Biological Macromolecules, Journal Year: 2025, Volume and Issue: 304, P. 140966 - 140966

Published: Feb. 12, 2025

Language: Английский

Citations

0
Self-Powered and Reconfigurable Double-Terminal MoS2 Photodetector for Image Recognition DOI

Chengjie Zhou,

Qingliang Liu, Xiao Fu

et al.

Nano Letters, Journal Year: 2025, Volume and Issue: 25(9), P. 3515 - 3523

Published: Feb. 24, 2025

Two-dimensional (2D) semiconductors hold significant potential for the fabrication of self-powered reconfigurable devices due to their atomically thin body thickness and excellent heterogeneous integration capabilities. Despite these advantages, regulating polarity in 2D remains challenging, complex heterostructures hinder practical applications. Here, we demonstrate a metal-semiconductor-metal (MSM) two-terminal structure achieve multiple functions MoS2 devices. By applying different voltage pulses modulate sulfur vacancy concentration, device obtains reversible internal electric field, leading bidirectional photocurrent that switches from negative positive. This achieves fastest response speed 224 μs maximum responsivity 280 mA/W. Besides, proposed resistance-dependent method stable modulation successfully implement image processing object detection using convolutional neural network (CNN). work provides straightforward approach integrating next-generation optoelectronic

Language: Английский

Citations

0
Survey of Sustainable Wearable Strain Sensors Enabled by Biopolymers and Conductive Organic Polymers DOI Creative Commons
Cephas Amoah, W. G. Skene

Gels, Journal Year: 2025, Volume and Issue: 11(4), P. 235 - 235

Published: March 24, 2025

The field of wearable sensors has evolved with operating devices capable measuring biomechanics and biometrics, detecting speech. transduction, being the conversion biosignal to a measurable quantifiable electrical signal, is governed by conductive organic polymer. Meanwhile, conformality skin substrate quintessential. Both polymer must work in concert reversibly deform user’s movements for motion tracking. While polydimethylsiloxane shows mechanical compliance as sensor substrate, it environmental interest replace sustainable degradable alternatives. As both bulk weight area consist using renewable biodegradable materials its preparation would be an important step toward improving lifecycle sensors. This review highlights resistive that are prepared from naturally occurring polymers biodegradable. Conductive polythiophenes also presented, well how they integrated into biopolymer showing skin. highlighted because structural conformality, conductivity, processability, ensuring fulfils requirements use without adversely affecting overall sustainability biodegradability Different their performance compared conventional illustrate successful integration biosourced comprising desired elasticity sensitivity movement. current state-of-the-art along knowledge biopolymers different fields can leveraged rational design next generation potentially composted after use.

Language: Английский

Citations

0
Biocompatible, biodegradable, and high-performance flexible pressure sensors for severity grading and rehabilitation assessment in Parkinson's disease management DOI

X. L. Zheng,

Yuanlong Li, Qihui Zhou

et al.

Nano Energy, Journal Year: 2025, Volume and Issue: unknown, P. 111030 - 111030

Published: April 1, 2025

Language: Английский

Citations

0
Ultra-broad sensing range, high sensitivity textile pressure sensors with heterogeneous fibre architecture and molecular interconnection strategy DOI
Xuan Zhou,

Mengxi Gu,

Jie Li

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 496, P. 154067 - 154067

Published: July 17, 2024

Language: Английский

Citations

3
Ultra-low cost and high-performance paper-based flexible pressure sensor for artificial intelligent E-skin DOI
Yugang Chen, Shasha Wang, Yiren Liu

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: unknown, P. 156293 - 156293

Published: Sept. 1, 2024

Language: Английский

Citations

2
Leather-Based Shoe Soles for Real-Time Gait Recognition and Automatic Remote Assistance Using Machine Learning DOI
Peng Zhang, Xiaomeng Zhang,

Ming Teng

et al.

ACS Applied Materials & Interfaces, Journal Year: 2024, Volume and Issue: 16(45), P. 62803 - 62816

Published: Nov. 1, 2024

Real-time monitoring of gait characteristics is crucial for applications in health monitoring, patient rehabilitation feedback, and telemedicine. However, the effective stable acquisition automatic analysis information remain significant challenges. In this study, we present a flexible sensor based on carbon nanotube/graphene composite conductive leather (CGL), which uses collagen fiber with three-dimensional network structure as substrate. The CGL-based demonstrates high dynamic range, notable pressure responses ranging from 0.6 to 14.5 kPa sensitivity (S = 0.2465 kPa–1). We further developed device incorporating collect foot characteristic signals human motion designed smart sports shoes facilitate human–computer interaction. Machine learning was employed process various states, including standing, sitting, walking, falling. For real-time falls, optimized K-Nearest Time Series Classifier (KNTC) algorithm, achieving an accuracy 0.99 prediction time only 13 ms, highlights system's excellent intelligent response capabilities. system maintained recognition 90% across diverse populations, low false-positive (3.3%) false-negative rates. This work capabilities provides valuable methods insights plantar behavior data analysis, contributing development advanced systems.

Language: Английский

Citations

1
Recent advances and new frontier of flexible pressure sensors: structure engineering, performances and applications DOI
Tianhui Jiang, Chunnan Wang,

Tianyi Ling

et al.

Materials Today Physics, Journal Year: 2024, Volume and Issue: unknown, P. 101576 - 101576

Published: Oct. 1, 2024

Language: Английский

Citations

0