Publication:

Physiology-driven cybersickness detection in virtual reality: a machine learning and explainable AI approach

Date

2024
Journal article
https://doi.org/10.1007/s10055-024-01067-z
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dc.contributor.authorSameri, Javad
dc.contributor.authorCoenegracht, Hendrick
dc.contributor.authorVan Damme, Sam
dc.contributor.authorDe Turck, Filip
dc.contributor.authorTorres Vega, Maria
dc.contributor.imecauthorSameri, Javad
dc.contributor.imecauthorCoenegracht, Hendrick
dc.contributor.imecauthorVan Damme, Sam
dc.contributor.imecauthorDe Turck, Filip
dc.contributor.imecauthorTorres Vega, Maria
dc.contributor.orcidimecVan Damme, Sam::0000-0001-5398-7927
dc.contributor.orcidimecDe Turck, Filip::0000-0003-4824-1199
dc.contributor.orcidimecTorres Vega, Maria::0000-0002-5656-6607
dc.contributor.orcidimecSameri, Javad::0009-0005-0863-8134
dc.date.accessioned2025-03-26T08:36:40Z
dc.date.available2024-11-25T16:47:52Z
dc.date.available2024-11-26T11:09:24Z
dc.date.available2025-03-26T08:36:40Z
dc.date.embargo2024-11-19
dc.date.issued2024
dc.description.wosFundingTextThis research is partly funded by the FWO WaveVR project (Grant Number: G034322N). Sam Van Damme is also funded by FWO (Grant Number 1SB1822N).
dc.identifier.doi10.1007/s10055-024-01067-z
dc.identifier.issn1359-4338
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/44841
dc.publisherSPRINGER LONDON LTD
dc.source.beginpage1
dc.source.endpage19
dc.source.issue4
dc.source.journalVIRTUAL REALITY
dc.source.numberofpages19
dc.source.volume28
dc.subject.keywordsBRAIN-COMPUTER INTERFACE
dc.subject.keywordsMOTION SICKNESS
dc.subject.keywordsMENTAL FATIGUE
dc.subject.keywordsEEG
dc.subject.keywordsVIGILANCE
dc.subject.keywordsWORKLOAD
dc.subject.keywordsSYSTEM
dc.subject.keywordsTASK
dc.subject.keywordsELECTROENCEPHALOGRAM
dc.subject.keywordsCOMPONENTS
dc.title

Physiology-driven cybersickness detection in virtual reality: a machine learning and explainable AI approach

dc.typeJournal article
dspace.entity.typePublication
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