title: Comparison of five different classifiers for classification of mental tasks.
abstract: In this work we consider classification of mental tasks from EEG signal by using five different classifiers. These include Neural Network, Bayesian graphical network, Bayesian quadratic classifier, Hidden Markov Model and Fisher linear classifier. The experimental results are compared to each other. The Bayesian network appears to have comparable accuracy with the best classifier of the five but the classification time for it is more than others.
authors.affiliation: Computer Science, University of Northern British Columbia, 3333 University Way, Prince George, BC, Canada, V2N 4Z9, siamak@unbc.ca.
authors.forename: Siamak
authors.initials: S
authors.lastname: Rezaei
authors.forename: Kouhyar
authors.initials: K
authors.lastname: Tavakolian
authors.forename: Kiarash
authors.initials: K
authors.lastname: Naziripour