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    JUCS
    2006
    185views more  JUCS 2006»
    The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
    15 years 9 days 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
    14 years 10 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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