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Analysis of Performance Metrics Using Emotiv EPOC +

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dc.title Analysis of Performance Metrics Using Emotiv EPOC + en Strmiska, Martin Koudelková, Zuzana
dc.relation.ispartof MATEC Web of Conferences
dc.identifier.issn 2261-236X OCLC, Ulrich, Sherpa/RoMEO, JCR 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/201821004046
dc.description.abstract Brain-computer interface (BCI) is a device that enables the connection between the human brain and a computer, therefore, it allows us to observe the brain activity. The goal of this article is to prove that brain-computer interface is a helpful and quite precise tool. This goal will be achieved by presenting various examples from real-life situations. The results show that this device is indeed helpful, e.g. in a medical field, however, it is not commonly used in hospitals. © 2018 The Authors, published by EDP Sciences. en
utb.faculty Faculty of Applied Informatics
utb.identifier.scopus 2-s2.0-85055584335
utb.source d-scopus 2019-01-03T12:31:44Z 2019-01-03T12:31:44Z
utb.contributor.internalauthor Strmiska, Martin
utb.contributor.internalauthor Koudelková, Zuzana
utb.scopus.affiliation Tomas Bata University in Zlin, Faculty of Applied Informatics, Department Mathematics, Zlin, 760-05, Czech Republic; Tomas Bata University in Zlin, Faculty of Applied Informatics, Department of Informatics and Artificial Intelligence, Zlin, 760-05, Czech Republic
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