Examining the Efficiency of Emotiv Insight Headset by Measuring Different Stimuli

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

Examining the Efficiency of Emotiv Insight Headset by Measuring Different Stimuli

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Examining the Efficiency of Emotiv Insight Headset by Measuring Different Stimuli

Popis výsledku anglicky

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.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

WSEAS Transactions on Applied and Theoretical Mechanics

ISSN

1991-8747

e-ISSN

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Svazek periodika

14

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GR - Řecká republika

Počet stran výsledku

8

Strana od-do

235-242

Kód UT WoS článku

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EID výsledku v databázi Scopus

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