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Research into brain-computer interfaces (BCIs), which spell words using brain signals, has revealed that a desktop version of such a speller, the edges paradigm, offers several advantages: This edges paradigm outperforms the benchmark row-column paradigm in terms of accuracy, bitrate, and user experience. It has remained unknown whether these advantages prevailed with a new version of the edges paradigm...
Rapid serial visual presentation based brain-computer interface (BCI) system relies on single-trial classification of event-related potentials. Because of large individual differences, some labeled subject-specific data are needed to calibrate the classifier for each new subject. This paper proposes an online weighted adaptation regularization (OwAR) algorithm to reduce the online calibration effort,...
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