File Download

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

김성필

Kim, Sung-Phil
Brain-Computer Interface Lab.
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.citation.startPage 682113 -
dc.citation.title FRONTIERS IN NEUROSCIENCE -
dc.citation.volume 15 -
dc.contributor.author Park, Wanjoo -
dc.contributor.author Kim, Sung-Phil -
dc.contributor.author Eid, Mohamad -
dc.date.accessioned 2023-12-21T15:07:09Z -
dc.date.available 2023-12-21T15:07:09Z -
dc.date.created 2022-01-01 -
dc.date.issued 2021-11 -
dc.description.abstract Vibrotactile feedback technology has become widely used in human-computer interaction due to its low cost, wearability, and expressiveness. Although neuroimaging studies have investigated neural processes associated with different types of vibrotactile feedback, encoding vibration intensity in the brain remains largely unknown. The aim of this study is to investigate neural processes associated with vibration intensity using electroencephalography. Twenty-nine healthy participants (aged 18-40 years, nine females) experienced vibrotactile feedback at the distal phalanx of the left index finger with three vibration intensity conditions: no vibration, low-intensity vibration (1.56 g), and high-intensity vibration (2.26 g). The alpha and beta band event-related desynchronization (ERD) as well as P2 and P3 event-related potential components for each of the three vibration intensity conditions are obtained. Results demonstrate that the ERD in the alpha band in the contralateral somatosensory and motor cortex areas is significantly associated with the vibration intensity. The average power spectral density (PSD) of the peak period of the ERD (400-600 ms) is significantly stronger for the high- and low-vibration intensity conditions compared to the no vibration condition. Furthermore, the average PSD of the ERD rebound (700-2,000 ms) is significantly maintained for the high-vibration intensity compared to low-intensity and no vibration conditions. Beta ERD signals the presence of vibration. These findings inform the development of quantitative measurements for vibration intensities based on neural signals. -
dc.identifier.bibliographicCitation FRONTIERS IN NEUROSCIENCE, v.15, pp.682113 -
dc.identifier.doi 10.3389/fnins.2021.682113 -
dc.identifier.issn 1662-4548 -
dc.identifier.scopusid 2-s2.0-85120408819 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/55912 -
dc.identifier.url https://www.frontiersin.org/articles/10.3389/fnins.2021.682113/full -
dc.identifier.wosid 000726246400001 -
dc.language 영어 -
dc.publisher FRONTIERS MEDIA SA -
dc.title Neural Coding of Vibration Intensity -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.relation.journalWebOfScienceCategory Neurosciences -
dc.relation.journalResearchArea Neurosciences & Neurology -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor haptics -
dc.subject.keywordAuthor neural signal processing -
dc.subject.keywordAuthor vibration -
dc.subject.keywordAuthor sensation -
dc.subject.keywordAuthor alpha ERD -
dc.subject.keywordPlus SINGLE-TRIAL EEG -
dc.subject.keywordPlus VIBROTACTILE FREQUENCY -
dc.subject.keywordPlus EVOKED-POTENTIALS -
dc.subject.keywordPlus DISCRIMINATION -
dc.subject.keywordPlus PERCEPTION -
dc.subject.keywordPlus ACTIVATION -
dc.subject.keywordPlus DEPENDENCE -
dc.subject.keywordPlus COMPONENTS -
dc.subject.keywordPlus DYNAMICS -
dc.subject.keywordPlus STIMULI -

qrcode

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