G
Guido Dornhege
Researcher at Fraunhofer Institute for Open Communication Systems
Publications - 49
Citations - 5784
Guido Dornhege is an academic researcher from Fraunhofer Institute for Open Communication Systems. The author has contributed to research in topics: Brain–computer interface & Interface (computing). The author has an hindex of 27, co-authored 49 publications receiving 5469 citations.
Papers
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Journal ArticleDOI
The non-invasive Berlin Brain-Computer Interface: fast acquisition of effective performance in untrained subjects.
TL;DR: It is proposed that the key to quick efficiency in the BBCI system is its flexibility due to complex but physiologically meaningful features and its adaptivity which respects the enormous inter-subject variability.
Journal ArticleDOI
Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms
TL;DR: It is shown that a suitably arranged interaction between these concepts can significantly boost BCI performances and derive information-theoretic predictions and demonstrate their relevance in experimental data.
Book
Toward brain-computer interfacing
TL;DR: This book was set in LaTex by the authors and was printed and bound in the United States of America Library of Congress Cataloging-in-Publication Data Towards Brain-Computer Interfacing.
Journal ArticleDOI
Machine learning for real-time single-trial EEG-analysis: from brain-computer interfacing to mental state monitoring.
Klaus-Robert Müller,Michael Tangermann,Guido Dornhege,Matthias Krauledat,Gabriel Curio,Benjamin Blankertz +5 more
TL;DR: An outline of the Berlin brain-computer interface (BBCI) is given, which can be operated with minimal subject training, and spelling with the novel BBCI-based Hex-o-Spell text entry system, which gains communication speeds of 6-8 letters per minute.
Journal ArticleDOI
Combined Optimization of Spatial and Temporal Filters for Improving Brain-Computer Interfacing
Guido Dornhege,Benjamin Blankertz,Matthias Krauledat,Matthias Krauledat,F. Losch,Gabriel Curio,Klaus-Robert Müller +6 more
TL;DR: A novel technique that allows the simultaneous optimization of a spatial and a spectral filter enhancing discriminability rates of multichannel EEG single-trials is presented.