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    JUCS
    2006
    185views more  JUCS 2006»
    The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
    13 years 4 months ago
    The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
    Download  eprints.pascal-network.org
    We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main co...
    Benjamin Blankertz, Guido Dornhege, Steven Lemm, M...
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    ICMLA
    2009
    193views Machine Learning» more  ICMLA 2009»
    Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling
    13 years 2 months ago
    Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling
    Download  simone.neuro.kuleuven.ac.be
    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...
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