• 文献标题:   Electrooculography by Wearable Graphene Textiles
  • 文献类型:   Article, Proceedings Paper
  • 作  者:   GOLPARVAR AJ, YAPICI MK
  • 作者关键词:   activity recognition, biopotential acquisition circuit, conductive textile, dry electrode, electrooculography, eog, etextile, eye movement, eye tracking, flexible, graphene textile electrode, hci, humancomputer interaction, internet of thing, iot, longterm monitoring, mhealth, motor paralysi, reduced graphene oxide, rgo, smart fabric, wearable electronic
  • 出版物名称:   IEEE SENSORS JOURNAL
  • ISSN:   1530-437X EI 1558-1748
  • 通讯作者地址:   Sabanci Univ
  • 被引频次:   4
  • DOI:   10.1109/JSEN.2018.2868879
  • 出版年:   2018

▎ 摘  要

Study of eye movements and measurement of the resulting biopotentials, referred to as electrooculography (EOG), may find increasing use in applications within the domain of personalized medicine provided that the limitations of conventional "wet" electrodes are addressed. To overcome the limitations of conventional electrodes, in this paper, we report for the first time the use and characterization of graphene-coated electroconductive textile electrodes for EOG acquisition. The feasibility of the developed gel-free, flexible, dry textile electrodes was experimentally authenticated through side-by-side comparison with pre-gelled, wet, silver/silver chloride (Ag/AgCl) electrodes, where the simultaneously recorded signals displayed correlation of up to similar to 87% over durations reaching hundred seconds and repeated on eight participants. This outstanding performance demonstrates the potential of graphene textiles in wearable devices based on sensing and processing of electrooculograms.