Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Guido Dornhege"'
Autor:
Guido Dornhege, José del R. Millán, Thilo Hinterberger, Dennis J. McFarland, Klaus-Robert Müller
The latest research in the development of technologies that will allow humans to communicate, using brain signals only, with computers, wheelchairs, prostheses, and other devices.Interest in developing an effective communication interface connecting
Publikováno v:
NeuroImage. 37:539-550
Brain-Computer Interface (BCI) systems establish a direct communication channel from the brain to an output device. These systems use brain signals recorded from the scalp, the surface of the cortex, or from inside the brain to enable users to contro
Publikováno v:
Neurocomputing
We propose simple and fast methods based on nearest neighbors that order objects from high-dimensional data sets from typical points to untypical points. On the one hand, we show that these easy-to-compute orderings allow us to detect outliers (i.e.
Autor:
Roman Krepki, Jens Kohlmorgen, F. Losch, Klaus-Robert Müller, Gabriel Curio, Benjamin Blankertz, V. Kunzmann, Christin Schäfer, Guido Dornhege
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering. 11:127-131
Brain-computer interfaces (BCIs) involve two coupled adapting systems-the human subject and the computer. In developing our BCI, our goal was to minimize the need for subject training and to impose the major learning load on the computer. To this end
Autor:
Benjamin Blankertz, Gabriel Curio, Matthias Krauledat, F. Losch, Klaus-Robert Müller, Guido Dornhege
Publikováno v:
IEEE transactions on bio-medical engineering. 55(10)
The Berlin brain-computer interface (BBCI) project develops a noninvasive BCI system whose key features are: 1) the use of well-established motor competences as control paradigms; 2) high-dimensional features from multichannel EEG; and 3) advanced ma
Autor:
Benjamin Blankertz, Matthias Krauledat, Michael Tangermann, Gabriel Curio, Klaus-Robert Müller, Guido Dornhege
Machine learning methods are an excellent choice for compensating the high variability in EEG when analyzing single-trial data in real-time. This paper briefly reviews preprocessing and classification techniques for efficient EEG-based brain-computer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d098aabe74b316ca9f7b6b7b25a90aca
https://publica.fraunhofer.de/handle/publica/215328
https://publica.fraunhofer.de/handle/publica/215328
Autor:
M. Schröder, Guido Dornhege, Matthias Krauledat, Klaus-Robert Müller, Gabriel Curio, Benjamin Blankertz
Publikováno v:
EMBC (Supplement)
This paper discusses machine learning methods and their application to Brain-Computer Interfacing. A partic- ular focus is placed on linear classification methods which can be applied in the BCI context. Finally, we provide an overview of the Berlin-
Autor:
Klaus-Robert, Mueller, Benjamin, Blankertz, Guido, Dornhege, Matthias, Krauledat, Gabriel, Curio
Publikováno v:
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
Brain Computer Interfacing (BCI) aims at making use of brain signals for e.g. the control of objects, spelling, gaming and so on. This talk will first provide a very brief overview of Brain Computer Interface from a machine learning and signal proces
Autor:
Benjamin Blankertz, Matthias Krauledat, F. Losch, Gabriel Curio, Klaus-Robert Müller, Guido Dornhege
Publikováno v:
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference. 2004
To enhance human interaction with machines, research interest is growing to develop a 'brain-computer interface', which allows communication of a human with a machine only by use of brain signals. So far, the applicability of such an interface is str
Autor:
Matthias Krauledat, Benjamin Blankertz, Guido Dornhege, John Williamson, Klaus-Robert Müller, Roderick Murray-Smith
Publikováno v:
Universal Access in Human-Computer Interaction. Ambient Interaction ISBN: 9783540732808
HCI (6)
HCI (6)
Brain-Computer Interfaces (BCIs) are systems capable of decoding neural activity in real time, thereby allowing a computer application to be directly controlled by the brain. Since the characteristics of such direct brain-to-computer interaction are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::317d0420b4842063326d81c031ef6a03
https://doi.org/10.1007/978-3-540-73281-5_83
https://doi.org/10.1007/978-3-540-73281-5_83