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Riemannian Classification for SSVEP-Based BCI: Offline versus Online Implementations

dc.contributor.authorChevallier, Sylvain
dc.contributor.authorKalunga, Emmanuel
dc.contributor.authorBarthélemy, Quentin
dc.contributor.authorYger, Florian
dc.date.accessioned2018-03-21T13:26:38Z
dc.date.available2018-03-21T13:26:38Z
dc.date.issued2018
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/17579
dc.language.isoenen
dc.subjectInterface neuronale directe (IND)en
dc.subjectBrain-Computer Interfaces (BCI)en
dc.subject.ddc006.3en
dc.titleRiemannian Classification for SSVEP-Based BCI: Offline versus Online Implementationsen
dc.typeChapitre d'ouvrage
dc.description.abstractenThis chapter focuses on the different implementations of brain-computer interface (BCI) based on steady-state visually evoked potentials (SSVEPs). In offline BCI, feature extraction and classification are performed at the end of the session, when all trials are available, whereas in online settings, they are performed several times during each trial, usually for each available epoch recorded by the electroencephalogram (EEG) device, enabling real-timeen
dc.identifier.citationpages372-398en
dc.relation.ispartoftitleBrain-Computer Interfaces Handbook : Technological and Theoretical Advancesen
dc.relation.ispartofeditorNam, Chang S.
dc.relation.ispartofeditorNijholt, Anton
dc.relation.ispartofeditorLotte, Fabien
dc.relation.ispartofpublnameCRC Press, Taylor & Francisen
dc.relation.ispartofdate2018-01
dc.relation.ispartofpages814en
dc.contributor.countryeditoruniversityotherFRANCE
dc.subject.ddclabelIntelligence artificielleen
dc.relation.ispartofisbn9781498773430en
dc.relation.forthcomingnonen
dc.description.ssrncandidatenonen
dc.description.halcandidateouien
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.date.updated2018-03-21T13:08:58Z
hal.person.labIds115536
hal.person.labIds115536
hal.person.labIds242833
hal.person.labIds989
hal.identifierhal-01739877*


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