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An evolutionary approach to feature selection and classification in P300-based BCI

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.

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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)
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: Elements
Depositing User: Elements
Date Deposited: 11 Mar 2014 14:18
Last Modified: 23 Sep 2022 19:10
URI: http://repository.essex.ac.uk/id/eprint/8808

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