Citi, L and Poli, R and Sepulveda, F (2004) An evolutionary approach to feature selection and classification in P300-based BCI. In: Proceedings of the 2nd International BCI workshop and Training Course, ? - ?, Graz.
Citi, L and Poli, R and Sepulveda, F (2004) An evolutionary approach to feature selection and classification in P300-based BCI. In: Proceedings of the 2nd International BCI workshop and Training Course, ? - ?, Graz.
Citi, L and Poli, R and Sepulveda, F (2004) An evolutionary approach to feature selection and classification in P300-based BCI. In: Proceedings of the 2nd International BCI workshop and Training Course, ? - ?, Graz.
Abstract
We explore the use of evolutionary algorithms in the selection of features and the classification of P300 signals in BCI. As a result we have found new ways to process and combine EEG signals to improve detection.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Published proceedings: _not provided_ - Notes: |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 11 Mar 2014 14:18 |
Last Modified: | 16 May 2024 18:20 |
URI: | http://repository.essex.ac.uk/id/eprint/8808 |
Available files
Filename: Citi2004EvolApprFeatSelectAndClassP300BCI.pdf