Examining the Efficiency of Emotiv Insight Headset by Measuring Different Stimuli
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F19%3A63522697" target="_blank" >RIV/70883521:28140/19:63522697 - isvavai.cz</a>
Result on the web
<a href="http://www.wseas.org/multimedia/journals/mechanics/2019/a525111-382.pdf" target="_blank" >http://www.wseas.org/multimedia/journals/mechanics/2019/a525111-382.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Examining the Efficiency of Emotiv Insight Headset by Measuring Different Stimuli
Original language description
BCI (Brain-Computer Interface) is used to connect a computer with a device that senses brain activity. Devices based on EEG (electroencephalography) technology are used to sense brain activity. EEGbased BCI has become an important tool for real-time analysis of brain activity. This article examines the quality and usability of the signals recorded using the Emotiv device. To examine brain activity, visual, auditory and visual-auditory stimuli were investigated. Responses were observed using wireless noninvasive EEG device Emotiv Insight. Two software was used to measure the signals. The first was software Emotiv Xavier ControlPanel and the second was mobile application MyEmotiv. Measurements were performed with four participants.
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
WSEAS Transactions on Applied and Theoretical Mechanics
ISSN
1991-8747
e-ISSN
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Volume of the periodical
14
Issue of the periodical within the volume
1
Country of publishing house
GR - GREECE
Number of pages
8
Pages from-to
235-242
UT code for WoS article
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EID of the result in the Scopus database
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