Fiber/Yarn and Textile-Based Piezoresistive Pressure Sensors

IF 17.2 1区 工程技术 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Yiduo Yang, Yang Liu, Rong Yin
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引用次数: 0

Abstract

The rapid growth of wearable technology has significantly enhanced the capabilities of wearable sensors, transitioning from simple attachments of rigid electronics to the more comfortable and adaptable integration with soft substrates. Among these, flexible piezoresistive pressure sensors are particularly notable for their straightforward and reliable signal readout. Fiber, yarn, and textile-based sensors, which allow for multiscale material and structural engineering, present ideal solutions for achieving sensors with excellent wearability, sensitivity, and scalability potential. Innovations in materials and the advancement of artificial intelligence (AI) have further enhanced sensor performance, adding multifunctional capabilities and broadening their applications. This review systematically examines fiber, yarn, and textile-based piezoresistive pressure sensors, covering fundamental mechanisms, key performance metrics, conductive and substrate materials, structural designs, fabrication techniques, multifunctional integrations, and advanced applications in healthcare, fitness, and human–machine interaction, augmented by machine learning (ML). Finally, the review discusses sensor design and technical considerations, material–structure–property engineering, scalable production, performance evaluation, and offers recommendations and prospects for future sensor research and development. This comprehensive overview aims to provide a deeper understanding of current innovations and challenges, facilitating the advancement of flexible and intelligent wearable sensing technologies.

Abstract Image

纤维/纱线和纺织品压阻压力传感器
可穿戴技术的快速发展极大地增强了可穿戴传感器的功能,从简单的刚性电子元件连接过渡到与软性基底进行更舒适、适应性更强的集成。其中,柔性压阻压力传感器因其直接可靠的信号读取而尤为突出。基于纤维、纱线和纺织品的传感器可进行多尺度材料和结构工程设计,是实现传感器具有出色的耐磨性、灵敏度和可扩展性的理想解决方案。材料的创新和人工智能(AI)的发展进一步提高了传感器的性能,增加了多功能性并拓宽了其应用领域。本综述系统地研究了基于纤维、纱线和纺织品的压阻压力传感器,内容涵盖基本机理、关键性能指标、导电和基底材料、结构设计、制造技术、多功能集成,以及在医疗保健、健身和人机交互领域的先进应用,并通过机器学习(ML)加以增强。最后,综述讨论了传感器的设计和技术考虑因素、材料-结构-性能工程、可扩展生产、性能评估,并对未来传感器的研究和开发提出了建议和展望。这篇综合综述旨在让人们更深入地了解当前的创新和挑战,促进灵活、智能的可穿戴传感技术的发展。
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来源期刊
CiteScore
18.70
自引率
11.20%
发文量
109
期刊介绍: Advanced Fiber Materials is a hybrid, peer-reviewed, international and interdisciplinary research journal which aims to publish the most important papers in fibers and fiber-related devices as well as their applications.Indexed by SCIE, EI, Scopus et al. Publishing on fiber or fiber-related materials, technology, engineering and application.
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