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

Authors
Blankertz, BenjaminAcqualagna, LauraDahne, SvenHaufe, Stefan-Kraft, Matthias SchultzeSturm, IreneUscumlic, MarijaWenzel, Markus A.Curio, GabrielMuller, Klaus -Robert
Issue Date
21-11월-2016
Publisher
FRONTIERS MEDIA SA
Keywords
Brain-Computer Interfacing (BCI); electroencephalography (EEG); covert user states; machine learning; mental workload; video quality; implicit information; cognitive neuroscience
Citation
FRONTIERS IN NEUROSCIENCE, v.10
Indexed
SCIE
SCOPUS
Journal Title
FRONTIERS IN NEUROSCIENCE
Volume
10
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/86807
DOI
10.3389/fnins.2016.00530
ISSN
1662-4548
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.
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