Jump to main content
Jump to site search


Self-Protective, Reproducible Textile Sensor with High Performance towards Human-Machine Interaction

Abstract

Textile-based electronic devices have aroused considerable interests due to their excellent flexible, wearable and breathable features towards the next-generation intelligent wearable human-machine interfaces. However, as they are vulnerable to the mechanochemical attacks from sweat, oil, etc or wears and tears, the realization of functional electronic textiles (e-textiles) with simultaneous high performance, environment stability, mechanical robustness still remains a big challenge. Herein, we designed a self-protective and reproducible e-textile (SPRET) composed of entangled carbon nanotubes (CNTs) network, combined polypyrrole-polydopamine-perfluorodecyltrlethoxysilane (PPy-PDA-PFDS) polymer layer and textile substrate via a hierarchical constructing strategy. The achieved SPRET sensor can protect itself from the interference of a variety of agents with superlyophobicity, reproduce after severe machine-washing or tape-peeling cycles with mechanical robustness. In our system, the resulted wearable e-textile can be effectively conducted to monitor human motions, realize intuitive human-machine interactions and robot-learning with sweat/water exposure, showing significant potentials in practical wearable e-textiles for continuous, long-term and reliable human behavior monitoring.

Back to tab navigation

Supplementary files

Publication details

The article was received on 28 Sep 2019, accepted on 31 Oct 2019 and first published on 01 Nov 2019


Article type: Paper
DOI: 10.1039/C9TA10744D
J. Mater. Chem. A, 2019, Accepted Manuscript

  •   Request permissions

    Self-Protective, Reproducible Textile Sensor with High Performance towards Human-Machine Interaction

    L. Zhang, J. He, Y. Liao, X. Zeng, N. Qiu, Y. Liang, P. Xiao and T. Chen, J. Mater. Chem. A, 2019, Accepted Manuscript , DOI: 10.1039/C9TA10744D

Search articles by author

Spotlight

Advertisements