Genetic Algorithm for Feature Reduction in Brain Computer Interfaces

K. Tavakolian, S. Rezaei (Canada), and C. Lucas (Iran)


EEG extracted features, Genetic Algorithm,Mental task classification, Brain-Computer Interfacing (BCI).


In this research the practicality of an integer coded Genetic Algorithm (GA) in the classification of mental tasks is investigated. By applying GA to the search space of 30 different EEG extracted features, the optimal 6 feature combinations in the classification of five mental tasks are determined. This would help us to improve accuracy and reliability of Brain Computer Interfaces by choosing better features

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