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BCI competition 2003-data set IIb: support vector machines for the P300 speller paradigm

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5 Author(s)
Kaper, M. ; Fac. of Technol., Bielefeld Univ., Germany ; Meinicke, P. ; Grossekathoefer, U. ; Lingner, T.
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We propose an approach to analyze data from the P300 speller paradigm using the machine-learning technique support vector machines. In a conservative classification scheme, we found the correct solution after five repetitions. While the classification within the competition is designed for offline analysis, our approach is also well-suited for a real-world online solution: It is fast, requires only 10 electrode positions and demands only a small amount of preprocessing.

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Biomedical Engineering, IEEE Transactions on  (Volume:51 ,  Issue: 6 )