Knot‐Patterned Treble‐Weaving Smart Electronic Textiles With Advanced Thermal and Moisture Regulation for Seamless Motion Monitoring

Abstract

Electronic textiles (e-textiles) promise advancements in wearable devices and electronic skin, thanks to their flexibility, breathability, and conformal properties. However, their micrometer-scale porous structure, while enhancing these features, poses challenges in sample stability and data reproducibility. To address this contradiction, this study introduces a hybrid macro-micro mixed scale strategy. Specifically, at the macro scale, dimensionally stable and breathable thermally bonded nonwoven fabrics are utilized as interdigitated electrodes to provide a stable platform for the integration of sensing elements, while spun lace nonwoven fabrics leverage the high sensitivity of textiles by a micrometer-scale fluffy porous structure serve as the sensing material layer. Furthermore, two-dimensional MXene nanosheets, graphene oxide (GO) flakes, and one-dimensional silver nanowires are incorporated on these fabrics, exhibiting good adhesion and a nano-porous structure while eliminating the stacking and linking of nanomaterials between fibers. These structures facilitate the formation of voids and contact points required for resistive sensing. The material structures endow the e-textiles with superior comprehensive performance, including efficient electromagnetic interference shielding (84 dB), ultrafast Joule heating (3.6 °C s⁻¹), excellent pressure sensing (33 kPa⁻¹). By integrating machine learning, gesture recognition interaction (accuracy > 96.8%) and dual-mode sensing and recognition of temperature and pressure (accuracy > 98.9%) are achieved. This proposed mixed-dimensional assembly design creates a versatile e-textile that offers a practical paradigm for next-generation smart flexible electronics.

Pengpeng Hu

Senior Lecturer (Associate Professor)

Pengpeng Hu is currently a Senior Lecturer (Associate Professor) with The University of Manchester. His research interests include biometrics, geometric deep learning, 3D human body reconstruction, point cloud processing, and vision-based measurement. He serves as an Associate Editor for IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Automation Science and Engineering, and Engineering and Mathematics in Medical and Life Sciences, as well as an Academic Editor for PLOS ONE and a member of the editorial board for Scientific Reports. He is also the Programme Chair for the 25th UK Workshop on Computational Intelligence (UKCI 2026) and an Area Chair for the 35th British Machine Vision Conference (BMVC 2024). He is the recipient of the Emerald Literati Award for an outstanding paper in 2019.