Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/137133
Title: Directly printed wearable electronic sensing textiles towards human – machine interfaces
Authors: Liao, Xinqin
Song, Weitao
Zhang, Xiangyu
Huang, Hua
Wang, Yongtian
Zheng, Yuanjin
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2018
Source: Liao, X., Song, W., Zhang, X., Huang, H., Wang, Y., & Zheng, Y. (2018). Directly printed wearable electronic sensing textiles towards human – machine interfaces. Journal of Materials Chemistry C, 6(47), 12841-12848. doi:10.1039/c8tc02655f
Journal: Journal of Materials Chemistry C
Abstract: Gesture control is an emerging technological goal in the field of human–machine interfaces (HMIs). Optical fibers or metal strain sensors as sensing elements are generally complex and not sensitive enough to accurately capture gestures, and thus there is a need for additional complicated signal optimization. Electronic sensing textiles hold great promise for the next generation of wearable electronics. Here, soft, deformable and ultrahigh-performance textile strain sensors are fabricated by directly stencil printing silver ink on pre-stretched textiles towards HMIs. These textile strain sensors exhibit ultrahigh sensitivity (a gauge factor of ∼2000), stretchability (up to 60% strain), and durability (>10 000 stretching cycles). Through a simple auxiliary signal processing circuit with Bluetooth communication technology, an intelligent glove assembled with these textile strain sensors is prepared, which is capable of detecting the full range of fingers’ bending and can translate the fingers’ bending into wireless control commands. Immediate applications, for example, as a smart car director, for wireless typing, and as a remote PowerPoint controller, bring out the great practical value of these textile strain sensors in the field of wearable electronics. This work provides a new prospective for achieving wearable sensing electronic textiles with ultrahigh performance towards HMIs, and will further expand their impact in the field of the Internet of Things.
URI: https://hdl.handle.net/10356/137133
ISSN: 2050-7526
DOI: 10.1039/c8tc02655f
Rights: © 2018 The Author(s). All rights reserved. This paper was published by The Royal Society of Chemistry in Journal of Materials Chemistry C and is made available with permission of The Author(s).
Fulltext Permission: open
Fulltext Availability: With Fulltext
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