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Generating Artificial EEG Signals To Reduce BCI Calibration Time

hal.structure.identifierVisualization and manipulation of complex data on wireless mobile devices [IPARLA ]
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorLOTTE, Fabien
dc.date.accessioned2024-04-15T09:47:20Z
dc.date.available2024-04-15T09:47:20Z
dc.date.issued2011-09
dc.date.conference2011-09
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/198089
dc.description.abstractEnOne of the major limitations of Brain-Computer Interfaces (BCI) is their long calibration time. This is due to the need to collect numerous training EEG trials for the machine learning algorithm used in their design. In this paper we propose a new approach to reduce this calibration time. This approach consists in generating arti ficial EEG trials from the few EEG trials initially available, in order to augment the training set size in a relevant way. The approach followed is simple and computationally efficient. Moreover, our offline evaluations suggested that it can lead to signi ficant increases in classification accuracy when compared with existing approaches, especially when the number of training trials available is small. As such, it can indeed be used to reduce calibration time.
dc.language.isoen
dc.title.enGenerating Artificial EEG Signals To Reduce BCI Calibration Time
dc.typeCommunication dans un congrès
dc.subject.halInformatique [cs]/Biotechnologie
dc.subject.halSciences du Vivant [q-bio]/Biotechnologies
dc.subject.halInformatique [cs]/Intelligence artificielle [cs.AI]
dc.subject.halInformatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
dc.subject.halInformatique [cs]/Traitement du signal et de l'image
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
bordeaux.page176-179
bordeaux.hal.laboratoriesLaboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.title5th International Brain-Computer Interface Workshop
bordeaux.countryAT
bordeaux.conference.cityGraz
bordeaux.peerReviewedoui
hal.identifierinria-00599325
hal.version1
hal.invitednon
hal.proceedingsoui
hal.popularnon
hal.audienceInternationale
dc.subject.itBrain-Computer Interfaces
dc.subject.itcalibration time reduction
dc.subject.itartificial data generation
hal.origin.linkhttps://hal.archives-ouvertes.fr//inria-00599325v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2011-09&rft.spage=176-179&rft.epage=176-179&rft.au=LOTTE,%20Fabien&rft.genre=unknown


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