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Capturing brain activity during driving automobile

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dc.title Capturing brain activity during driving automobile en
dc.contributor.author Koudelková, Zuzana
dc.contributor.author Jašek, Roman
dc.relation.ispartof Transportation Research Procedia
dc.identifier.issn 2352-1457 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2019
utb.relation.volume 40
dc.citation.spage 1434
dc.citation.epage 1440
dc.event.title 13th International Scientific Conference on Sustainable, Modern and Safe Transport, TRANSCOM 2019
dc.event.location Horný Smokovec
utb.event.state-en Slovakia
utb.event.state-cs Slovensko
dc.event.sdate 2019-05-29
dc.event.edate 2019-05-31
dc.type conferenceObject
dc.language.iso en
dc.publisher Elsevier B.V.
dc.identifier.doi 10.1016/j.trpro.2019.07.198
dc.relation.uri https://www.sciencedirect.com/science/article/pii/S2352146519303680
dc.subject EEG en
dc.subject electroencephalography en
dc.subject Brain Computer Interface en
dc.subject BCI en
dc.description.abstract The primary purpose of this article is to show which brain waves are activated while driving an automobile. The first part of this article deals with the theoretical information about brain waves and electroencephalogram (EEG). The activity of the brain is measured by EEG technology, which is represented by Emotiv System devices. The following section defines which devices have been selected. For measuring EEG was used headset Emotiv EPOC and for analysing measurements, the application Emotiv Brain Activity Map was used. The third part of this article focuses on the experimental section. The experimental part provides four various measurements. These measurements describe activated brain waves during different actions while driving. The last chapter of this paper is devoted to possible ways of using this technology. © 2019 The Authors. Published by Elsevier B.V. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1009052
utb.identifier.obdid 43879999
utb.identifier.scopus 2-s2.0-85070928612
utb.identifier.wok 000568460300197
utb.source d-scopus
dc.date.accessioned 2019-09-19T07:56:13Z
dc.date.available 2019-09-19T07:56:13Z
dc.description.sponsorship Internal Grant Agency of Tomas Bata University in Zlin [IGA/FAI/2019/005]
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Koudelková, Zuzana
utb.contributor.internalauthor Jašek, Roman
utb.fulltext.affiliation Zuzana Koudelkova a*, Roman Jasek a a Tomas Bata University in Zlin, Faculty of Applied Informatics, Nad Stranemi 4511, 76005 Zlin, Czech Republic * Corresponding author. Tel.: +420 702 594 390. E-mail address: koudelkova@utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by Internal Grant Agency of Tomas Bata University in Zlin under the project No. IGA/FAI/2019/005.
utb.wos.affiliation [Koudelkova, Zuzana; Jasek, Roman] Tomas Bata Univ Zlin, Fac Appl Informat, Nad Stranemi 4511, Zlin 76005, Czech Republic
utb.scopus.affiliation Tomas Bata University in Zlin, Faculty of Applied Informatics, Nad Stranemi 4511, Zlin, 76005, Czech Republic
utb.fulltext.projects IGA/FAI/2019/005
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
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