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

Tianyi Ling

и другие.

Materials Today Physics, Год журнала: 2024, Номер unknown, С. 101576 - 101576

Опубликована: Окт. 1, 2024

Язык: 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

и другие.

Chemical Engineering Journal, Год журнала: 2025, Номер 505, С. 159369 - 159369

Опубликована: Янв. 7, 2025

Язык: Английский

Процитировано

10

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

и другие.

Composites Part B Engineering, Год журнала: 2025, Номер unknown, С. 112145 - 112145

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

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

и другие.

International Journal of Biological Macromolecules, Год журнала: 2025, Номер 304, С. 140966 - 140966

Опубликована: Фев. 12, 2025

Язык: Английский

Процитировано

0

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

Chengjie Zhou,

Qingliang Liu, Xiao Fu

и другие.

Nano Letters, Год журнала: 2025, Номер 25(9), С. 3515 - 3523

Опубликована: Фев. 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

Язык: Английский

Процитировано

0

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

Gels, Год журнала: 2025, Номер 11(4), С. 235 - 235

Опубликована: Март 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.

Язык: Английский

Процитировано

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

и другие.

Nano Energy, Год журнала: 2025, Номер unknown, С. 111030 - 111030

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

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

и другие.

Chemical Engineering Journal, Год журнала: 2024, Номер 496, С. 154067 - 154067

Опубликована: Июль 17, 2024

Язык: Английский

Процитировано

3

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

и другие.

Chemical Engineering Journal, Год журнала: 2024, Номер unknown, С. 156293 - 156293

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

2

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

Ming Teng

и другие.

ACS Applied Materials & Interfaces, Год журнала: 2024, Номер 16(45), С. 62803 - 62816

Опубликована: Ноя. 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.

Язык: Английский

Процитировано

1

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

Tianyi Ling

и другие.

Materials Today Physics, Год журнала: 2024, Номер unknown, С. 101576 - 101576

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

0