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The Berlin Brain-Computer Interface: Progress Beyond Communication and Control

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dc.contributor.authorBlankertz, Benjamin-
dc.contributor.authorAcqualagna, Laura-
dc.contributor.authorDahne, Sven-
dc.contributor.authorHaufe, Stefan-
dc.contributor.author-Kraft, Matthias Schultze-
dc.contributor.authorSturm, Irene-
dc.contributor.authorUscumlic, Marija-
dc.contributor.authorWenzel, Markus A.-
dc.contributor.authorCurio, Gabriel-
dc.contributor.authorMuller, Klaus -Robert-
dc.date.accessioned2021-09-03T16:48:34Z-
dc.date.available2021-09-03T16:48:34Z-
dc.date.created2021-06-16-
dc.date.issued2016-11-21-
dc.identifier.issn1662-4548-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/86807-
dc.description.abstractThe combined effect of fundamental results about neurocognitive processes and advancements in decoding mental states from ongoing brain signals has brought forth a whole range of potential neurotechnological applications. In this article, we review our developments in this area and put them into perspective. These examples cover a wide range of maturity levels with respect to their applicability. While we assume we are still a long way away from integrating Brain-Computer Interface (BCI) technology in general interaction with computers, or from implementing neurotechnological measures in safety-critical workplaces, results have already now been obtained involving a BCI as research tool. In this article, we discuss the reasons why, in some of the prospective application domains, considerable effort is still required to make the systems ready to deal with the full complexity of the real world.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherFRONTIERS MEDIA SA-
dc.subjectFIXATION-RELATED POTENTIALS-
dc.subjectSINGLE-TRIAL EEG-
dc.subjectENVELOPE FOLLOWING RESPONSES-
dc.subjectNEAR-INFRARED SPECTROSCOPY-
dc.subjectOF-NO-RETURN-
dc.subjectNEURONAL OSCILLATIONS-
dc.subjectCORTICAL POTENTIALS-
dc.subjectNEUROIMAGING DATA-
dc.subjectAMBULATORY EEG-
dc.subjectVIDEO QUALITY-
dc.titleThe Berlin Brain-Computer Interface: Progress Beyond Communication and Control-
dc.typeArticle-
dc.contributor.affiliatedAuthorMuller, Klaus -Robert-
dc.identifier.doi10.3389/fnins.2016.00530-
dc.identifier.scopusid2-s2.0-85009740843-
dc.identifier.wosid000388532400001-
dc.identifier.bibliographicCitationFRONTIERS IN NEUROSCIENCE, v.10-
dc.relation.isPartOfFRONTIERS IN NEUROSCIENCE-
dc.citation.titleFRONTIERS IN NEUROSCIENCE-
dc.citation.volume10-
dc.type.rimsART-
dc.type.docTypeReview-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaNeurosciences & Neurology-
dc.relation.journalWebOfScienceCategoryNeurosciences-
dc.subject.keywordPlusFIXATION-RELATED POTENTIALS-
dc.subject.keywordPlusSINGLE-TRIAL EEG-
dc.subject.keywordPlusENVELOPE FOLLOWING RESPONSES-
dc.subject.keywordPlusNEAR-INFRARED SPECTROSCOPY-
dc.subject.keywordPlusOF-NO-RETURN-
dc.subject.keywordPlusNEURONAL OSCILLATIONS-
dc.subject.keywordPlusCORTICAL POTENTIALS-
dc.subject.keywordPlusNEUROIMAGING DATA-
dc.subject.keywordPlusAMBULATORY EEG-
dc.subject.keywordPlusVIDEO QUALITY-
dc.subject.keywordAuthorBrain-Computer Interfacing (BCI)-
dc.subject.keywordAuthorelectroencephalography (EEG)-
dc.subject.keywordAuthorcovert user states-
dc.subject.keywordAuthormachine learning-
dc.subject.keywordAuthormental workload-
dc.subject.keywordAuthorvideo quality-
dc.subject.keywordAuthorimplicit information-
dc.subject.keywordAuthorcognitive neuroscience-
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