VISUAL STIMULI FOR P300-BASED BRAIN-COMPUTER INTERFACES: COLOR, SHAPE, MOBILITY
Abstract
The purpose of this study was to identify the impact of different discriminative features of stimuli in P300 brain-computer interface paradigm on overall performance and evoked potentials. It has been shown, that stimuli sets with greater number of discriminative features yield better target selection accuracy. Target selection accuracy was significantly higher for stimuli that differ from each other by color, shape and semantics. Highest performance was achieved with stimuli set containing largest number of discriminative features, namely set of 9 different colored letters. This result is mainly due to higher mean P300 peak amplitude for stimuli sets that contain more discriminative features. The results of the study can be used for designing better user experience in brain-computer interfacing (BCI). Movement of stimuli presentation point and characteristics of this movement (linear or pseudorandom) didn’t have any impact on BCI performance. This result is promising for future BCI designs with rapid serial visual presentation, using mobile robots or augmented reality as stimuli presentation environment.
About the Authors
R. K. Grigoryan
Lomonosov Moscow State University
Russian Federation
Department of Human and Animal Physiology, School of Biology
Russian Federation
Department of Human and Animal Physiology, School of Biology
E. U. Krysanova
Lomonosov Moscow State University
Russian Federation
Department of Human and Animal Physiology, School of Biology
Russian Federation
Department of Human and Animal Physiology, School of Biology
D. A. Kirjanov
Lomonosov Moscow State University
Russian Federation
Department of Human and Animal Physiology, School of Biology
Russian Federation
Department of Human and Animal Physiology, School of Biology
A. Ya. Kaplan
Lomonosov Moscow State University;
Lobachevskii Nizhny Novgorod State University
Russian Federation
Department of Human and Animal Physiology, School of Biology
Russian Federation
Department of Human and Animal Physiology, School of Biology
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Review
For citations:
Grigoryan R.K., Krysanova E.U., Kirjanov D.A., Kaplan A.Ya. VISUAL STIMULI FOR P300-BASED BRAIN-COMPUTER INTERFACES: COLOR, SHAPE, MOBILITY. Vestnik Moskovskogo universiteta. Seriya 16. Biologiya. 2018;73(2):111-117. (In Russ.)
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