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Toward graphene textiles in wearable eye tracking systems for human–machine interaction

The study of eye movements and the measurement of the resulting biopotential, referred to as electrooculography (EOG), may find increasing use in applications within the domain of activity recognition, context awareness, mobile human–computer and human–machine interaction (HCI/HMI), and personal med...

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Autores principales: Golparvar, Ata Jedari, Yapici, Murat Kaya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Beilstein-Institut 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884882/
https://www.ncbi.nlm.nih.gov/pubmed/33614384
http://dx.doi.org/10.3762/bjnano.12.14
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author Golparvar, Ata Jedari
Yapici, Murat Kaya
author_facet Golparvar, Ata Jedari
Yapici, Murat Kaya
author_sort Golparvar, Ata Jedari
collection PubMed
description The study of eye movements and the measurement of the resulting biopotential, referred to as electrooculography (EOG), may find increasing use in applications within the domain of activity recognition, context awareness, mobile human–computer and human–machine interaction (HCI/HMI), and personal medical devices; provided that, seamless sensing of eye activity and processing thereof is achieved by a truly wearable, low-cost, and accessible technology. The present study demonstrates an alternative to the bulky and expensive camera-based eye tracking systems and reports the development of a graphene textile-based personal assistive device for the first time. This self-contained wearable prototype comprises a headband with soft graphene textile electrodes that overcome the limitations of conventional “wet” electrodes, along with miniaturized, portable readout electronics with real-time signal processing capability that can stream data to a remote device over Bluetooth. The potential of graphene textiles in wearable eye tracking and eye-operated remote object interaction is demonstrated by controlling a mouse cursor on screen for typing with a virtual keyboard and enabling navigation of a four-wheeled robot in a maze, all utilizing five different eye motions initiated with a single channel EOG acquisition. Typing speeds of up to six characters per minute without prediction algorithms and guidance of the robot in a maze with four 180° turns were successfully achieved with perfect pattern detection accuracies of 100% and 98%, respectively.
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spelling pubmed-78848822021-02-18 Toward graphene textiles in wearable eye tracking systems for human–machine interaction Golparvar, Ata Jedari Yapici, Murat Kaya Beilstein J Nanotechnol Full Research Paper The study of eye movements and the measurement of the resulting biopotential, referred to as electrooculography (EOG), may find increasing use in applications within the domain of activity recognition, context awareness, mobile human–computer and human–machine interaction (HCI/HMI), and personal medical devices; provided that, seamless sensing of eye activity and processing thereof is achieved by a truly wearable, low-cost, and accessible technology. The present study demonstrates an alternative to the bulky and expensive camera-based eye tracking systems and reports the development of a graphene textile-based personal assistive device for the first time. This self-contained wearable prototype comprises a headband with soft graphene textile electrodes that overcome the limitations of conventional “wet” electrodes, along with miniaturized, portable readout electronics with real-time signal processing capability that can stream data to a remote device over Bluetooth. The potential of graphene textiles in wearable eye tracking and eye-operated remote object interaction is demonstrated by controlling a mouse cursor on screen for typing with a virtual keyboard and enabling navigation of a four-wheeled robot in a maze, all utilizing five different eye motions initiated with a single channel EOG acquisition. Typing speeds of up to six characters per minute without prediction algorithms and guidance of the robot in a maze with four 180° turns were successfully achieved with perfect pattern detection accuracies of 100% and 98%, respectively. Beilstein-Institut 2021-02-11 /pmc/articles/PMC7884882/ /pubmed/33614384 http://dx.doi.org/10.3762/bjnano.12.14 Text en Copyright © 2021, Golparvar and Yapici https://creativecommons.org/licenses/by/4.0https://www.beilstein-journals.org/bjnano/terms/termsThis is an Open Access article under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0). Please note that the reuse, redistribution and reproduction in particular requires that the author(s) and source are credited and that individual graphics may be subject to special legal provisions. The license is subject to the Beilstein Journal of Nanotechnology terms and conditions: (https://www.beilstein-journals.org/bjnano/terms/terms)
spellingShingle Full Research Paper
Golparvar, Ata Jedari
Yapici, Murat Kaya
Toward graphene textiles in wearable eye tracking systems for human–machine interaction
title Toward graphene textiles in wearable eye tracking systems for human–machine interaction
title_full Toward graphene textiles in wearable eye tracking systems for human–machine interaction
title_fullStr Toward graphene textiles in wearable eye tracking systems for human–machine interaction
title_full_unstemmed Toward graphene textiles in wearable eye tracking systems for human–machine interaction
title_short Toward graphene textiles in wearable eye tracking systems for human–machine interaction
title_sort toward graphene textiles in wearable eye tracking systems for human–machine interaction
topic Full Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884882/
https://www.ncbi.nlm.nih.gov/pubmed/33614384
http://dx.doi.org/10.3762/bjnano.12.14
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