title: EEG single-trial classification of visual, auditive and vibratory feedback potentials in Brain-Computer Interfaces.
abstract: Feedback stimuli are fundamental components in Brain-Computer Interfaces. It is known that the presentation of feedback stimuli elicits certain brain potentials that can be measured and classified. As stimuli can be given through different sensory modalities, it is important to understand the effects of different types of feedback on brain responses and their impact on classification. This paper presents a protocol used to obtain brain potentials elicited by visual, auditive or vibrotactile feedback stimuli. Experiments were carried out with five different subjects for each modality. Four different single-trial classification strategies were compared, according to the information used to train the classifier, achieving a classification rate of approximately 80% for each modality.
authors.affiliation: Instituto de Investigación en Ingeniería de Aragón and Dpto de Informática e Ingeniería de Sistemas, Universidad de Zaragoza, Spain. edulop@unizar.es
authors.forename: Eduardo
authors.initials: E
authors.lastname: López-Larraz
authors.forename: Marco
authors.initials: M
authors.lastname: Creatura
authors.forename: Iñaki
authors.initials: I
authors.lastname: Iturrate
authors.forename: Luis
authors.initials: L
authors.lastname: Montesano
authors.forename: Javier
authors.initials: J
authors.lastname: Minguez
mesh_terms: D001921:Brain / Q000502:physiology*; D004569:Electroencephalography / Q000379:methods*; D025461:Feedback, Physiological; D006309:Hearing; D006801:Humans; D008328:Man-Machine Systems; D014110:Touch; D014785:Vision, Ocular