title: EEG auditory steady state responses classification for the novel BCI.
abstract: An auditory modality brain computer interface (BCI) is a novel and interesting paradigm in neurotechnology applications. The paper presents a concept of auditory steady state responses (ASSR) utilization for the novel BCI paradigm. Two EEG feature extraction approaches based on a bandpass filtering and an AR spectrum estimation are tested together with two classification schemes in order to validate the proposed auditory BCI paradigm. The resulting good classification scores of users intentional choices, of attending or not to the presented stimuli, support the hypothesis of the ASSR stimuli validity for a solid BCI paradigm.
authors.affiliation: Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology, Japan.higashi@sip.tuat.ac.jp
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Higashi
authors.forename: Tomasz M
authors.initials: TM
authors.lastname: Rutkowski
authors.forename: Yoshikazu
authors.initials: Y
authors.lastname: Washizawa
authors.forename: Andrzej
authors.initials: A
authors.lastname: Cichocki
authors.forename: Toshihisa
authors.initials: T
authors.lastname: Tanaka
mesh_terms: D001921:Brain / Q000502:physiology*; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D008328:Man-Machine Systems