Full metadata record

DC Field Value Language
dc.contributor.authorKoo, Bonseok-
dc.contributor.authorKim, Laehyun-
dc.contributor.authorHa, Jihyeon-
dc.contributor.authorKim, Da-Hye-
dc.date.accessioned2024-01-19T09:08:41Z-
dc.date.available2024-01-19T09:08:41Z-
dc.date.created2022-02-25-
dc.date.issued2021-02-
dc.identifier.issn2572-7680-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/113581-
dc.description.abstractAutonomous sensory meridian response (ASMR) is a theory that the brain feels a sense of psychological stability by stimulating the five senses. Existing ASMR studies mainly use subjective evaluation such as questionnaires having potential biases. Therefore, objective evaluation needs to be made. To increase objectivity, we determined a biomarker based on electroencephalography. This study found that the characteristics of ASMR depend on arousal. We detected differences in delta waves in the frontal and central areas and gamma waves in the occipital region. This result means that arousal characteristics can be applied to the ASMR biomarker. We anticipate that our study will improve our understanding of objective ASMR characteristics.-
dc.languageEnglish-
dc.publisherIEEE-
dc.titleAn approach for assessing arousal characteristics of ASMR using electroencephalographic power-
dc.typeConference-
dc.identifier.doi10.1109/BCI51272.2021.9385308-
dc.description.journalClass1-
dc.identifier.bibliographicCitation9th IEEE International Winter Conference on Brain-Computer Interface (BCI), pp.207 - 209-
dc.citation.title9th IEEE International Winter Conference on Brain-Computer Interface (BCI)-
dc.citation.startPage207-
dc.citation.endPage209-
dc.citation.conferencePlaceUS-
dc.citation.conferencePlaceKorea Univ Inst Artificial Intelligence, ELECTR NETWORK-
dc.citation.conferenceDate2021-02-22-
dc.relation.isPartOf2021 9TH IEEE INTERNATIONAL WINTER CONFERENCE ON BRAIN-COMPUTER INTERFACE (BCI)-
dc.identifier.wosid000669665700046-
dc.identifier.scopusid2-s2.0-85104837256-
Appears in Collections:
KIST Conference Paper > 2021
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML

qrcode

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

BROWSE