Machine learning of fNIRS and biosignals in passive brain–computer-interfaces

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.advisorRemes, Sami
dc.contributor.authorPykälä, Lauri
dc.contributor.schoolSähkötekniikan korkeakoulufi
dc.contributor.supervisorTurunen, Markus
dc.date.accessioned2017-05-30T09:14:23Z
dc.date.available2017-05-30T09:14:23Z
dc.date.issued2017-05-05
dc.format.extent34
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/26449
dc.identifier.urnURN:NBN:fi:aalto-201705305064
dc.language.isoenen
dc.programmeSähkötekniikan kandidaattiohjelmafi
dc.programme.majorBioinformaatioteknologiafi
dc.programme.mcodeELEC3016fi
dc.subject.keywordfunctional near-infrared spectroscopy (fNIRS)en
dc.subject.keywordbiosignalsen
dc.subject.keywordmachine learningen
dc.subject.keywordbrain–computer interface (BCI)en
dc.subject.keywordcognitive workloaden
dc.subject.keywordstressen
dc.titleMachine learning of fNIRS and biosignals in passive brain–computer-interfacesen
dc.typeG1 Kandidaatintyöfi
dc.type.dcmitypetexten
dc.type.ontasotBachelor's thesisen
dc.type.ontasotKandidaatintyöfi

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