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• W2056579240 abstract "We report on the development of a four command Brain-Computer Interface (BCI) based on steady-state visual evoked potential (SSVEP) responses detected from human electroencephalograms (EEGs). The proposed system combines spatial filtering, feature extraction and selection, and a classifier. Two types of classifiers were compared: one based on equal treatment of all harmonics in all EEG channels and the second based on preliminary training resulting in a weighted treatment of the harmonics. Results from six healthy subjects are evaluated." @default.
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• W2056579240 date "2011-09-01" @default.
• W2056579240 modified "2023-09-23" @default.
• W2056579240 title "Subject-adaptive steady-state visual evoked potential detection for brain-computer interface" @default.
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• W2056579240 doi "https://doi.org/10.1109/idaacs.2011.6072776" @default.
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