Citation

BibTex format

@article{Zhou:2022:10.1002/app.52755,
author = {Zhou, Y and Myant, C and Stewart, R},
doi = {10.1002/app.52755},
journal = {Journal of Applied Polymer Science},
title = {Multifunctional and stretchable graphene/textile composite sensor for human motion monitoring},
url = {http://dx.doi.org/10.1002/app.52755},
volume = {139},
year = {2022}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Sensors based on electronic textiles (e-textiles) have become increasingly prominent in the field of biomechanical monitoring technology due to multiple properties such as being lightweight, flexible, and comfortable, with increasing potential in incorporating into long-term monitoring devices. Previous research has been conducted into textile strain sensors based on graphene for human motion monitoring, however most graphene e-textile strain sensors exhibit poor sensitivity and stretchability. To our knowledge, no previous research has looked at knitted graphene-based fabrics in regards to the fabric composition of the substrate. In this paper, we propose a graphene/fabric composite sensor using a cost-effective dip coating method of an acrylic/Spandex knit fabric, and further explores its mechanical, electrical, and sensing properties. The developed graphene/textile composite sensor has a wide sensing range (up to 344%) and exhibits a good sensitivity with a high gauge factor of up to 16. As a wearable sensor, our sensing fabric can detect both large and subtle human motions and is able to distinguish between various ranges of joint movements, demonstrating its ability to function as a human motion monitoring system. Our sensor further exhibits the ability to be used as a supercapacitor or capacitive pressure sensor.
AU - Zhou,Y
AU - Myant,C
AU - Stewart,R
DO - 10.1002/app.52755
PY - 2022///
SN - 0021-8995
TI - Multifunctional and stretchable graphene/textile composite sensor for human motion monitoring
T2 - Journal of Applied Polymer Science
UR - http://dx.doi.org/10.1002/app.52755
UR - https://onlinelibrary.wiley.com/doi/10.1002/app.52755
UR - http://hdl.handle.net/10044/1/97845
VL - 139
ER -

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