title: Development of a BCI master switch based on single-trial detection of contingent negative variation related potentials.
abstract: To control the startup/shutdown of a conventional brain-computer interface (BCI) that is always running for daily use, we proposed and developed a new BCI system called a BCI master switch. We designed it with on/off switching functions by detecting the contingent negative variation (CNV)--related potentials. We chose CNV to improve the single-trial discrimination of user intentions to switch because CNV had a high signal-to-noise ratio and needed high concentration for its elicitation. We also applied a support vector machine (SVM) to improve the single-trial detection of CNV-related potentials. As the best parameters of SVM were estimated and applied, the offline evaluation's best performance achieved a CNV detection rate of 99.3% for the intention to switch and 2.1% for the intention not to switch. Remarkably, this performance was achieved from single-trial detection, imaginary response of user's intention without physical reaction, and the data from only one recording electrode. These results suggest that our proposed BCI system might work as a master switch by single-trial detection.
authors.affiliation: Brain Science Institute, Tamagawa University, Machida, Tokyo 194-8610, Japan. xige@lab.tamagawa.ac.jp
authors.forename: Yasuhiro X
authors.initials: YX
authors.lastname: Kato
authors.forename: Tomoko
authors.initials: T
authors.lastname: Yonemura
authors.forename: Kazuyuki
authors.initials: K
authors.lastname: Samejima
authors.forename: Taro
authors.initials: T
authors.lastname: Maeda
authors.forename: Hideyuki
authors.initials: H
authors.lastname: Ando
mesh_terms: D000328:Adult; D001921:Brain / Q000502:physiology*; D006801:Humans; D008297:Male; D008328:Man-Machine Systems