TY - JOUR
T1 - The Berlin brain-computer interface
T2 - Progress beyond communication and control
AU - Blankertz, Benjamin
AU - Acqualagna, Laura
AU - Dähne, Sven
AU - Haufe, Stefan
AU - Schultze-Kraft, Matthias
AU - Sturm, Irene
AU - Ušcumlic, Marija
AU - Wenzel, Markus A.
AU - Curio, Gabriel
AU - Müller, Klaus Robert
N1 - Funding Information:
This work was supported by a grant from the German Federal Ministry of Education and Research (BMBF) under contract No. 01GQ0850. Furthermore, some of the reviewed research has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement No. 611570. SH was supported by a Marie Curie International Outgoing Fellowship (grant No. 625991) within the 7th European Community Framework Program. IS's work was supported by the Berlin School of Mind and Brain and by the Christiane-Nüsslein-Volhard Foundation. KM gratefully acknowledges funding by the Federal Ministry of Education and Research (BMBF) under the projects Adaptive BCI (FKZ 01GQ1115) and Berlin Big Data Center BBDC (01IS14013A), in part by the German Research Foundation (GRK 1589/1), and by the Brain Korea 21 Plus Program through the National Research Foundation of Korea funded by the Ministry of Education.
Publisher Copyright:
© 2016 Blankertz, Acqualagna, Dähne, Haufe, Schultze-Kraft, Sturm, Ušcumlic, Wenzel, Curio and Müller.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - Brain-Computer Interfacing (BCI)
KW - Cognitive neuroscience
KW - Covert user states
KW - Electroencephalography (EEG)
KW - Implicit information
KW - Machine learning
KW - Mental workload
KW - Video quality
UR - http://www.scopus.com/inward/record.url?scp=85009740843&partnerID=8YFLogxK
U2 - 10.3389/fnins.2016.00530
DO - 10.3389/fnins.2016.00530
M3 - Review article
AN - SCOPUS:85009740843
SN - 1662-4548
VL - 10
JO - Frontiers in Neuroscience
JF - Frontiers in Neuroscience
IS - NOV
M1 - 530
ER -