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Introduction to the identification of brain waves based on their frequency

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dc.title Introduction to the identification of brain waves based on their frequency en
dc.contributor.author Koudelková, Zuzana
dc.contributor.author Strmiska, Martin
dc.relation.ispartof MATEC Web of Conferences
dc.identifier.issn 2261-236X Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2018
utb.relation.volume 210
dc.event.title 22nd International Conference on Circuits, Systems, Communications and Computers, CSCC 2018
dc.event.location Majorca
utb.event.state-en Spain
utb.event.state-cs Španělsko
dc.event.sdate 2018-07-14
dc.event.edate 2018-07-17
dc.type conferenceObject
dc.language.iso en
dc.publisher EDP Sciences
dc.identifier.doi 10.1051/matecconf/201821005012
dc.relation.uri https://www.matec-conferences.org/articles/matecconf/abs/2018/69/matecconf_cscc2018_05012/matecconf_cscc2018_05012.html
dc.description.abstract A Brain Computer Interface (BCI) enables to get electrical signals from the brain. In this paper, the research type of BCI was non-invasive, which capture the brain signals using electroencephalogram (EEG). EEG senses the signals from the surface of the head, where one of the important criteria is the brain wave frequency. This paper provides the measurement of EEG using the Emotiv EPOC headset and applications developed by Emotiv System. Two types of the measurements were taken to describe brain waves by their frequency. The first type of the measurements was based on logical and analytical reasoning, which was captured during solving mathematical exercise. The second type was based on relax mind during listening three types of relaxing music. The results of the measurements were displayed as a visualization of a brain activity. © 2018 The Authors, published by EDP Sciences. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1008307
utb.identifier.obdid 43878575
utb.identifier.scopus 2-s2.0-85055575422
utb.identifier.wok 000567668400143
utb.source d-scopus
dc.date.accessioned 2019-01-03T12:31:44Z
dc.date.available 2019-01-03T12:31:44Z
dc.description.sponsorship Internal Grant Agency of Tomas Bata University in Zlin [IGA/FAI/2018/008]
dc.rights Attribution 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Koudelková, Zuzana
utb.contributor.internalauthor Strmiska, Martin
utb.fulltext.affiliation Zuzana Koudelková 1*, Martin Strmiska 1 1 Tomas Bata University in Zlin, Faculty of Applied Informatics, Nad Stranemi 4511, 76005 Zlin, Czech Republic * Corresponding author: koudelkova@utb.cz
utb.fulltext.dates -
utb.wos.affiliation [Koudelkova, Zuzana; Strmiska, Martin] 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.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
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Attribution 4.0 International Except where otherwise noted, this item's license is described as Attribution 4.0 International