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» Classification of Brain-Computer Interface Data
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CHI
2010
ACM
15 years 6 months ago
A novel brain-computer interface using a multi-touch surface
We present a novel integration of a brain-computer interface (BCI) with a multi-touch surface. BCIs based on the P300 paradigm often use a visual stimulus of a flashing character ...
Beste F. Yuksel, Michael Donnerer, James Tompkin, ...
ICPR
2004
IEEE
16 years 10 days ago
High Accuracy Classification of EEG Signal
Improving classification accuracy is a key issue to advancing brain computer interface (BCI) research from laboratory to real world applications. This article presents a high accu...
Chng Eng Siong, Cuntai Guan, Jiankang Wu, M. Thula...
IJON
2006
87views more  IJON 2006»
14 years 11 months ago
Translation-invariant classification of non-stationary signals
Non-stationary signal classification is a complex problem. This problem becomes even more difficult if we add the following hypothesis: each signal includes a discriminant wavefor...
Vincent Guigue, Alain Rakotomamonjy, Stépha...
IJON
2006
117views more  IJON 2006»
14 years 11 months ago
EEG classification using generative independent component analysis
We present an application of Independent Component Analysis (ICA) to the discrimination of mental tasks for EEG-based Brain Computer Interface systems. ICA is most commonly used w...
Silvia Chiappa, David Barber
ICMLA
2009
14 years 9 months ago
Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling
The Mind Speller is a Brain-Computer Interface which enables subjects to spell text on a computer screen by detecting P300 Event-Related Potentials in their electroencephalograms....
Adrien Combaz, Nikolay V. Manyakov, Nikolay Chumer...