ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Journal Article High Durability and Waterproofing rGO/SWCNT-Fabric-Based Multifunctional Sensors for Human-Motion Detection
Cited 159 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Seong Jun Kim, Wooseok Song, Yoonsik Yi, Bok Ki Min, Shuvra Mondal, Ki-Seok An, Choon-Gi Choi
Issue Date
2018-01
Citation
ACS Applied Materials & Interfaces, v.10, no.4, pp.3921-3928
ISSN
1944-8244
Publisher
American Chemical Society(ACS)
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1021/acsami.7b15386
Abstract
Wearable strain-pressure sensors for detecting electrical signals generated by human activities are being widely investigated because of their diverse potential applications, from observing human motion to health monitoring. In this study, we fabricated reduced graphene oxide (rGO)/single-wall carbon nanotube (SWCNT) hybrid fabric-based strain-pressure sensors using a simple solution process. The structural and chemical properties of the rGO/SWCNT fabrics were characterized using scanning electron microscopy (SEM), Raman, and X-ray photoelectron spectroscopy (XPS). Complex networks containing rGO and SWCNTs were homogeneously formed on the cotton fabric. The sensing performance of the devices was evaluated by measuring the effects of bending strain and pressure. When the CNT content was increased, the change in relative resistance decreased, while durability was significantly improved. The rGO/SWCNT (0.04 wt %) fabric sensor showed particularly high mechanical stability and flexibility during 100 000 bending tests at the extremely small bending radius of 3.5 mm (11.6% bending strain). Moreover, the rGO/SWCNT fabric device exhibited excellent water resistant properties after 10 washing tests due to its hydrophobic nature. Finally, we demonstrated a fabric-sensor-based motion glove and confirmed its practical applicability.
KSP Keywords
3.5 mm, Carbon nano-tube(CNT), Complex Networks(CN), Cotton fabric, Electrical signal, Fabric sensor, Graphene oxide(GOS), Health monitoring, Human motion, Hydrophobic nature, Mechanical stability