Detailed Information

Cited 0 time in webofscience Cited 6 time in scopus
Metadata Downloads

The effect of binaural beat-based audiovisual stimulation on brain waves and concentration

Full metadata record
DC Field Value Language
dc.contributor.authorPark, J.-
dc.contributor.authorKwon, H.-
dc.contributor.authorKang, S.-
dc.contributor.authorLee, Y.-
dc.date.available2020-02-27T12:44:12Z-
dc.date.created2020-02-12-
dc.date.issued2018-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/4408-
dc.description.abstractIn this study, we analyzed the effect of binaural beat auditory stimulation on EEG. In particular, this research focused on alpha and beta waves of EEG, which are known to be closely related to attention. As a result, we were able to confirm that alpha waves are more active on all channels when providing alpha binaural beats than in meditation, and the temporal lobe was activated when we provided a beta binaural beat. Also, when we provided the alpha and beta binaural beats, the attention and concentration index was more activated on most channels. These results can help build content that is based on attention and concentration using binaural beat. © 2018 IEEE.-
dc.language영어-
dc.language.isoen-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.relation.isPartOf9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018-
dc.subjectElectroencephalography-
dc.subjectAlpha waves-
dc.subjectAttention-
dc.subjectAudio-visual stimulation-
dc.subjectBinaural beat-
dc.subjectBrain wave-
dc.subjectConcentration (process)-
dc.titleThe effect of binaural beat-based audiovisual stimulation on brain waves and concentration-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.doi10.1109/ICTC.2018.8539512-
dc.identifier.bibliographicCitation9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018, pp.420 - 423-
dc.identifier.scopusid2-s2.0-85059487494-
dc.citation.endPage423-
dc.citation.startPage420-
dc.citation.title9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018-
dc.contributor.affiliatedAuthorPark, J.-
dc.contributor.affiliatedAuthorKwon, H.-
dc.contributor.affiliatedAuthorKang, S.-
dc.contributor.affiliatedAuthorLee, Y.-
dc.type.docTypeConference Paper-
dc.subject.keywordAuthorAlpha Wave-
dc.subject.keywordAuthorAttention-
dc.subject.keywordAuthorAudiovisual Stimulation-
dc.subject.keywordAuthorBeta Wave-
dc.subject.keywordAuthorBinaural Beat-
dc.subject.keywordAuthorBrain wave-
dc.subject.keywordAuthorConcentration-
dc.subject.keywordAuthorEEG-
dc.subject.keywordPlusElectroencephalography-
dc.subject.keywordPlusAlpha waves-
dc.subject.keywordPlusAttention-
dc.subject.keywordPlusAudio-visual stimulation-
dc.subject.keywordPlusBinaural beat-
dc.subject.keywordPlusBrain wave-
dc.subject.keywordPlusConcentration (process)-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
IT융합대학 > 컴퓨터공학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Young Ho photo

Lee, Young Ho
College of IT Convergence (컴퓨터공학부(컴퓨터공학전공))
Read more

Altmetrics

Total Views & Downloads

BROWSE