Highly stretchable and wearable graphene strain sensors with controllable sensitivity for human motion monitoring

Jung Jin Park; Woo Jin Hyun; Sung Cik Mun; Yong Tae Park; O. Ok Park

doi:10.1021/acsami.5b00695

Highly stretchable and wearable graphene strain sensors with controllable sensitivity for human motion monitoring

Jung Jin Park, Woo Jin Hyun, Sung Cik Mun, Yong Tae Park, O. Ok Park^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

524 Scopus citations

Abstract

Because of their outstanding electrical and mechanical properties, graphene strain sensors have attracted extensive attention for electronic applications in virtual reality, robotics, medical diagnostics, and healthcare. Although several strain sensors based on graphene have been reported, the stretchability and sensitivity of these sensors remain limited, and also there is a pressing need to develop a practical fabrication process. This paper reports the fabrication and characterization of new types of graphene strain sensors based on stretchable yarns. Highly stretchable, sensitive, and wearable sensors are realized by a layer-by-layer assembly method that is simple, low-cost, scalable, and solution-processable. Because of the yarn structures, these sensors exhibit high stretchability (up to 150%) and versatility, and can detect both large- and small-scale human motions. For this study, wearable electronics are fabricated with implanted sensors that can monitor diverse human motions, including joint movement, phonation, swallowing, and breathing.

Original language	English
Pages (from-to)	6317-6324
Number of pages	8
Journal	ACS applied materials & interfaces
Volume	7
Issue number	11
DOIs	https://doi.org/10.1021/acsami.5b00695
State	Published - 25 Mar 2015
Externally published	Yes

Keywords

graphene
human motion monitoring
layer-by-layer assembly
strain sensor
stretchable electronics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1021/acsami.5b00695

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title = "Highly stretchable and wearable graphene strain sensors with controllable sensitivity for human motion monitoring",

abstract = "Because of their outstanding electrical and mechanical properties, graphene strain sensors have attracted extensive attention for electronic applications in virtual reality, robotics, medical diagnostics, and healthcare. Although several strain sensors based on graphene have been reported, the stretchability and sensitivity of these sensors remain limited, and also there is a pressing need to develop a practical fabrication process. This paper reports the fabrication and characterization of new types of graphene strain sensors based on stretchable yarns. Highly stretchable, sensitive, and wearable sensors are realized by a layer-by-layer assembly method that is simple, low-cost, scalable, and solution-processable. Because of the yarn structures, these sensors exhibit high stretchability (up to 150%) and versatility, and can detect both large- and small-scale human motions. For this study, wearable electronics are fabricated with implanted sensors that can monitor diverse human motions, including joint movement, phonation, swallowing, and breathing.",

keywords = "graphene, human motion monitoring, layer-by-layer assembly, strain sensor, stretchable electronics",

author = "Park, {Jung Jin} and Hyun, {Woo Jin} and Mun, {Sung Cik} and Park, {Yong Tae} and Park, {O. Ok}",

note = "Publisher Copyright: {\textcopyright} 2015 American Chemical Society.",

year = "2015",

month = mar,

day = "25",

doi = "10.1021/acsami.5b00695",

language = "英语",

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AU - Park, Jung Jin

AU - Hyun, Woo Jin

AU - Mun, Sung Cik

AU - Park, Yong Tae

AU - Park, O. Ok

PY - 2015/3/25

Y1 - 2015/3/25

N2 - Because of their outstanding electrical and mechanical properties, graphene strain sensors have attracted extensive attention for electronic applications in virtual reality, robotics, medical diagnostics, and healthcare. Although several strain sensors based on graphene have been reported, the stretchability and sensitivity of these sensors remain limited, and also there is a pressing need to develop a practical fabrication process. This paper reports the fabrication and characterization of new types of graphene strain sensors based on stretchable yarns. Highly stretchable, sensitive, and wearable sensors are realized by a layer-by-layer assembly method that is simple, low-cost, scalable, and solution-processable. Because of the yarn structures, these sensors exhibit high stretchability (up to 150%) and versatility, and can detect both large- and small-scale human motions. For this study, wearable electronics are fabricated with implanted sensors that can monitor diverse human motions, including joint movement, phonation, swallowing, and breathing.

AB - Because of their outstanding electrical and mechanical properties, graphene strain sensors have attracted extensive attention for electronic applications in virtual reality, robotics, medical diagnostics, and healthcare. Although several strain sensors based on graphene have been reported, the stretchability and sensitivity of these sensors remain limited, and also there is a pressing need to develop a practical fabrication process. This paper reports the fabrication and characterization of new types of graphene strain sensors based on stretchable yarns. Highly stretchable, sensitive, and wearable sensors are realized by a layer-by-layer assembly method that is simple, low-cost, scalable, and solution-processable. Because of the yarn structures, these sensors exhibit high stretchability (up to 150%) and versatility, and can detect both large- and small-scale human motions. For this study, wearable electronics are fabricated with implanted sensors that can monitor diverse human motions, including joint movement, phonation, swallowing, and breathing.

KW - graphene

KW - human motion monitoring

KW - layer-by-layer assembly

KW - strain sensor

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ER -

Highly stretchable and wearable graphene strain sensors with controllable sensitivity for human motion monitoring

Abstract

Keywords

UN SDGs

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