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Measuring brain signals using emotiv devices

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dc.title Measuring brain signals using emotiv devices en
dc.contributor.author Strmiska, Martin
dc.contributor.author Koudelková, Zuzana
dc.contributor.author Žabčíková, Martina
dc.relation.ispartof WSEAS Transactions on Systems and Control
dc.identifier.issn 1991-8763 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2018
utb.relation.volume 13
dc.citation.spage 537
dc.citation.epage 542
dc.type article
dc.language.iso en
dc.publisher World Scientific and Engineering Academy and Society (WSEAS)
dc.subject BCI en
dc.subject EEG en
dc.subject Emotional states en
dc.subject Emotiv EPOC+ en
dc.subject Emotiv insight en
dc.subject MyEmotiv en
dc.subject Non-invasive en
dc.subject Xavier en
dc.description.abstract BCI (Brain-computer interface) use for scanning the brain activity. This is the interface, which creates the connection between the brain and the computer. Thanks to this interconnection allows us to observe the brain activity. BCI translate brain signals into control commands for external devices using decoding algorithm. BCI systems can be very useful for examining areas neurobiology, neuropsychology, physiotherapy, neurophysiology etc. The aim of this article is to prove that brain-computer interface is a helpful and quite precise tool. To achieve that objective has been created few real-life examples, among which we can find a practical use. The results show that this device is indeed helpful (in a medical field, rehabilitation or psychology). In practice, unfortunately not used very much. © 2018, World Scientific and Engineering Academy and Society. All rights reserved. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1008488
utb.identifier.obdid 43878579
utb.identifier.obdid 43879684
utb.identifier.scopus 2-s2.0-85061296111
utb.source j-scopus
dc.date.accessioned 2019-07-08T11:59:51Z
dc.date.available 2019-07-08T11:59:51Z
dc.rights Attribution 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Strmiska, Martin
utb.contributor.internalauthor Koudelková, Zuzana
utb.contributor.internalauthor Žabčíková, Martina
utb.scopus.affiliation Department Mathematics, Tomas Bata University in Zlin, Faculty of Applied Informatics, Nad Stráněmi 4511, Zlin, 760 05, Czech Republic; Department of Informatics and Artificial Intelligence, Tomas Bata University in Zlin, Faculty of Applied Informatics, Nad Stráněmi 4511, Zlin, 760 05, Czech Republic
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Attribution 4.0 International Except where otherwise noted, this item's license is described as Attribution 4.0 International