title: Brain-computer interface based on generation of visual images.
abstract: This paper examines the task of recognizing EEG patterns that correspond to performing three mental tasks: relaxation and imagining of two types of pictures: faces and houses. The experiments were performed using two EEG headsets: BrainProducts ActiCap and Emotiv EPOC. The Emotiv headset becomes widely used in consumer BCI application allowing for conducting large-scale EEG experiments in the future. Since classification accuracy significantly exceeded the level of random classification during the first three days of the experiment with EPOC headset, a control experiment was performed on the fourth day using ActiCap. The control experiment has shown that utilization of high-quality research equipment can enhance classification accuracy (up to 68% in some subjects) and that the accuracy is independent of the presence of EEG artifacts related to blinking and eye movement. This study also shows that computationally-inexpensive bayesian classifier based on covariance matrix analysis yields similar classification accuracy in this problem as a more sophisticated Multi-class Common Spatial Patterns (MCSP) classifier.
authors.affiliation: Institute of Higher Nervous Activity and Neurophysiology of Russian Academy of Sciences, Moscow, Russia.
authors.forename: Pavel
authors.initials: P
authors.lastname: Bobrov
authors.forename: Alexander
authors.initials: A
authors.lastname: Frolov
authors.forename: Charles
authors.initials: C
authors.lastname: Cantor
authors.forename: Irina
authors.initials: I
authors.lastname: Fedulova
authors.forename: Mikhail
authors.initials: M
authors.lastname: Bakhnyan
authors.forename: Alexander
authors.initials: A
authors.lastname: Zhavoronkov
mesh_terms: D000328:Adult; D016477:Artifacts; D001499:Bayes Theorem; D001767:Blinking / Q000502:physiology; D001921:Brain; D004566:Electrodes; D004569:Electroencephalography; D004585:Electrooculography; D005133:Eye Movements / Q000502:physiology; D006801:Humans; D007092:Imagination / Q000502:physiology*; D008297:Male; D014584:User-Computer Interface; D014785:Vision, Ocular / Q000502:physiology*; D055815:Young Adult