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DAGM
2006
Springer
13 years 10 months ago
Optimizing Spectral Filters for Single Trial EEG Classification
We propose a novel spectral filter optimization algorithm for the single trial ElectroEncephaloGraphy (EEG) classification problem. The algorithm is designed to improve the classif...
Ryota Tomioka, Guido Dornhege, Guido Nolte, Kazuyu...
NIPS
2007
13 years 7 months ago
Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing
Brain-Computer Interfaces can suffer from a large variance of the subject conditions within and across sessions. For example vigilance fluctuations in the individual, variable ta...
Benjamin Blankertz, Motoaki Kawanabe, Ryota Tomiok...
ICMLA
2009
13 years 4 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...
IJCNN
2008
IEEE
14 years 20 days ago
Incremental Common Spatial Pattern algorithm for BCI
— A major challenge in applying machine learning methods to Brain-Computer Interfaces (BCIs) is to overcome the on-line non-stationarity of the data blocks. An effective BCI syst...
Qibin Zhao, Liqing Zhang, Andrzej Cichocki, Jie Li
ICPR
2004
IEEE
14 years 7 months 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...