A direct optimization approach to the P300 speller

A direct optimization approach to the P300 speller” by R. Santana, S. Muelas, A. Latorre, and J. M. Peña. In Proceedings of the 2011 Genetic and Evolutionary Computation Conference GECCO-2011, (Dublin, Ireland), 2011, pp. 1747-1754.

Abstract

The P300 component of the brain event-related-potential is one of the most used signals in brain computer interfaces (BCIs). One of the required steps for the application of the P300 paradigm is the identification of this component in the presence of stimuli. In this paper we propose a direct optimization approach to the P300 classification problem. A general formulation of the problem is introduced. Different classes of optimization algorithms are applied to solve the problem and the concepts of k-best and k-worst ensembles of solutions are introduced as a way to improve the accuracy of single solutions. The introduced approaches are able to achieve a classification rate over 80 percentage on test data.

BibTeX entry:

@inproceedings{Santana_et_al:2011,
   author = {R. Santana and S. Muelas and A. Latorre and J. M. Pe{\~n}a},
   title = {A direct optimization approach to the {P300} speller},
   booktitle = {Proceedings of the 2011 Genetic and Evolutionary
	Computation Conference GECCO-2011},
   pages = {1747-1754},
   address = {Dublin, Ireland},
   year = {2011},
   url = {http://dl.acm.org/citation.cfm?id=2001811}
}

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