BCI competition 2003 - Data set IIb: Support vector machines for the P300 speller paradigm
2004 | journal article. A publication with affiliation to the University of Göttingen.
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BCI competition 2003 - Data set IIb: Support vector machines for the P300 speller paradigm
Kaper, M.; Meinicke, P. ; Grossekathoefer, U.; Lingner, T. & Ritter, H. (2004)
IEEE Transactions on Biomedical Engineering, 51(6) pp. 1073-1076. DOI: https://doi.org/10.1109/TBME.2004.826698
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Details
- Authors
- Kaper, M.; Meinicke, Peter ; Grossekathoefer, U.; Lingner, Thomas; Ritter, H.
- Abstract
- 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.
- Issue Date
- 2004
- Status
- published
- Publisher
- Ieee-inst Electrical Electronics Engineers Inc
- Journal
- IEEE Transactions on Biomedical Engineering
- ISSN
- 0018-9294
