Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/163931
Title: Knitted Ti₃C₂Tₓ MXene based fiber strain sensor for human-computer interaction
Authors: Fu, Xiyao
Li, La
Chen, Shuai
Xu, Hao
Li, Junzhi
Shulga, Valerii
Han, Wei
Keywords: Engineering::Materials
Issue Date: 2021
Source: Fu, X., Li, L., Chen, S., Xu, H., Li, J., Shulga, V. & Han, W. (2021). Knitted Ti₃C₂Tₓ MXene based fiber strain sensor for human-computer interaction. Journal of Colloid and Interface Science, 604, 643-649. https://dx.doi.org/10.1016/j.jcis.2021.07.025
Journal: Journal of Colloid and Interface Science 
Abstract: Fiber-based stretchable electronics with feasibility of weaving into textiles and advantages of light-weight, long-term stability, conformability and easy integration are highly desirable for wearable electronics to realize personalized medicine, artificial intelligence and human health monitoring. Herein, a fiber strain sensor is developed based on the Ti3C2Tx MXene wrapped by poly(vinylidenefluoride-co-trifluoroethylene) (P(VDF-TrFE)) polymer nanofibers prepared via electrostatic spinning. Owing to the good conductivity of Ti3C2Tx and unique 3D reticular structure with wave shape, the resistance of Ti3C2Tx@P(VDF-TrFE) polymer nanofibers changes under external force, thus providing remarkable strain inducted sensing performance. As-fabricated sensor exhibits high gauge factor (GF) of 108.8 in range of 45-66% strain, rapid response of 19 ms, and outstanding durability over 1600 stretching/releasing cycles. The strain sensor is able to monitor vigorous human motions (finger or wrist bending) and subtle physiological signals (blinking, pulse or voice recognition) in real-time. Moreover, a data glove is designed to connect different gestures and expressions to form an intelligent gesture-expression control system, further confirming the practicability of our Ti3C2Tx@P(VDF-TrFE) strain sensors in multifunctional wearable electronic devices.
URI: https://hdl.handle.net/10356/163931
ISSN: 0021-9797
DOI: 10.1016/j.jcis.2021.07.025
Rights: © 2021 Elsevier Inc. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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