The Berlin Brain-Computer Interface: Progress Beyond Communication and Control
dc.contributor.author | Blankertz, Benjamin | |
dc.contributor.author | Acqualagna, Laura | |
dc.contributor.author | Dähne, Sven | |
dc.contributor.author | Haufe, Stefan | |
dc.contributor.author | Schultze-Kraft, Matthias | |
dc.contributor.author | Sturm, Irene | |
dc.contributor.author | Ušćumlic, Marija | |
dc.contributor.author | Wenzel, Markus | |
dc.contributor.author | Curio, Gabriel | |
dc.contributor.author | Müller, Klaus-Robert | |
dc.date.accessioned | 2019-11-07T16:20:23Z | |
dc.date.available | 2019-11-07T16:20:23Z | |
dc.date.issued | 2016-11-21 | |
dc.date.updated | 2019-10-01T06:26:01Z | |
dc.description.abstract | The 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. | en |
dc.description.sponsorship | EC/FP7/611570/EU/Symbiotic Mind Computer Interaction for Information Seeking/MindSee | en |
dc.description.sponsorship | EC/FP7/625991/EU/Hyperscanning 2.0 Analyses of Multimodal Neuroimaging Data: Concept, Methods and Applications/HYPERSCANNING 2.0 | en |
dc.description.sponsorship | DFG, 103586207, GRK 1589: Verarbeitung sensorischer Informationen in neuronalen Systemen | en |
dc.identifier.eissn | 1662-453X | |
dc.identifier.uri | https://depositonce.tu-berlin.de/handle/11303/10273 | |
dc.identifier.uri | http://dx.doi.org/10.14279/depositonce-9235 | |
dc.language.iso | en | en |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en |
dc.subject.ddc | 610 Medizin und Gesundheit | de |
dc.subject.other | Brain-Computer Interfacing | en |
dc.subject.other | BCI | en |
dc.subject.other | electroencephalography | en |
dc.subject.other | EEG | en |
dc.subject.other | covert user states | en |
dc.subject.other | machine learning | en |
dc.subject.other | mental workload | en |
dc.subject.other | video quality | en |
dc.subject.other | implicit information | en |
dc.subject.other | cognitive neuroscience | en |
dc.title | The Berlin Brain-Computer Interface: Progress Beyond Communication and Control | en |
dc.type | Article | en |
dc.type.version | publishedVersion | en |
dcterms.bibliographicCitation.articlenumber | 530 | en |
dcterms.bibliographicCitation.doi | 10.3389/fnins.2016.00530 | en |
dcterms.bibliographicCitation.journaltitle | Frontiers in Neuroscience | en |
dcterms.bibliographicCitation.originalpublishername | Frontiers Media S.A. | en |
dcterms.bibliographicCitation.originalpublisherplace | Lausanne | en |
dcterms.bibliographicCitation.volume | 10 | en |
tub.accessrights.dnb | free | en |
tub.affiliation | Fak. 4 Elektrotechnik und Informatik::Inst. Softwaretechnik und Theoretische Informatik::FG Neurotechnologie | de |
tub.affiliation.faculty | Fak. 4 Elektrotechnik und Informatik | de |
tub.affiliation.group | FG Neurotechnologie | de |
tub.affiliation.institute | Inst. Softwaretechnik und Theoretische Informatik | de |
tub.publisher.universityorinstitution | Technische Universität Berlin | en |
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