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Research Article | Open Access | Just Accepted

A BiOI/TiO2 heterogeneous interface-based fiber memristor for intelligent textile system and high-precision hand gestures recognition

Chao Jiang1Shenglong Huang1Yantao Yu2Zixiang Zhao1YiLun Cheng1Yusuf Abdullahi Hassan3Chuanghong Zhao4,5Dou Zhang1Zizhao Ding1( )

Powder Metallurgy Research Institute, State Key Laboratory of Powder Metallurgy, Central South University, Changsha 410083, China

2 College of Physics and Electronic Information & Research Center for Novel Solar-Blind Ultraviolet and Infrared Photoelectronic Detectors of Henan province, Luoyang Normal University, Luoyang 471934, China

3 EPS Department of Mill Maintenace, Zijin AGM INC, Durban Backlands, Georgetown, Guyana

4 College of Electronics and Information Engineering, Shenzhen University, Shenzhen 518060, China

5 Guangdong Provincial Key Laboratory of Intelligent Information Processing , Shenzhen 518060, China

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Abstract

Textile memristor is the decision-making center of a bionic neuromorphic intelligent textile system and presents a promising opportunity for the incorporation of intricate information processing components within the architecture of flexible electronic textiles. This architecture, characterized by its cross-bar configuration and adaptability, positions textile memristors as a highly promising avenue for the future advancement of wearable electronic devices. Here, carbon fiber is chosen as electrode, and the memristor functional layer is made up of a high-performance and reliable BiOI/TiO2 heterogeneous interface synthesized hydrothermally. The textile memristor exhibits an average set voltage of ≈0.78 V, set voltage deviation of 12.3%, long retention time (>104 s) and high on/off ratio (>105). Simultaneously, the observed self-rectification, room-temperature negative differential resistance (NDR) effect and biological synaptic phenomenon offer the possibility of further neuromorphic applications. Subsequently, the pressure sensor was integrated onto the textile memristor to construct an intelligent textile system. Especially through self built datasets and neural network calculations, the gesture recognition rate of the system reached 98.5%, maintaining a high level under the influence of 20% Gaussian noise (64%). This textile memristor arrays supply great memristive performance, steady device distribution, and good mechanical strength, indicating a reliable direction for the next generation of integrated textile electrical systems.

Nano Research
Cite this article:
Jiang C, Huang S, Yu Y, et al. A BiOI/TiO2 heterogeneous interface-based fiber memristor for intelligent textile system and high-precision hand gestures recognition. Nano Research, 2025, https://doi.org/10.26599/NR.2025.94907367

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Received: 30 December 2024
Revised: 07 March 2025
Accepted: 14 March 2025
Available online: 13 March 2025

© The Author(s) 2025. Published by Tsinghua University Press.

This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/)

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