BCI Competition 2003--Data set IIb: support vector machines for the P300 speller paradigm.
other · Level V
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- Record sourced from PubMed, PMID 15188881.
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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.
Medical subject headings
- Algorithms
- Artificial Intelligence
- Brain
- Cognition
- Electroencephalography
- Event-Related Potentials, P300
- User-Computer Interface