Introduction to the identification of brain waves based on their frequency
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F18%3A63519890" target="_blank" >RIV/70883521:28140/18:63519890 - isvavai.cz</a>
Result on the web
<a href="https://www.matec-conferences.org/articles/matecconf/pdf/2018/69/matecconf_cscc2018_05012.pdf" target="_blank" >https://www.matec-conferences.org/articles/matecconf/pdf/2018/69/matecconf_cscc2018_05012.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Introduction to the identification of brain waves based on their frequency
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MATEC Web of Conferences
ISBN
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ISSN
2261-236X
e-ISSN
neuvedeno
Number of pages
4
Pages from-to
"nestrankovano"
Publisher name
EDP Sciences
Place of publication
Les Ulis
Event location
Majorca
Event date
Jul 14, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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