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A P300 brain-computer interface for controlling a mobile robot by issuing a motion command

Xinan Fan, Luzheng Bi, Yun Li, Hongsheng Ding

Year
2013
Citations
3

Abstract

In this paper, to develop a mobile robot by using a BCI to issue a motion command including turning left and right and going forward, we propose a new P300 Brain-computer interface (BCI). Three kinds of P300 visual stimuli were first designed. And then we developed the corresponding BCI systems based on the three stimuli and compared their performance by using a linear discriminant analysis classifier with the features selected from EEG potentials via principal component analysis. Experimental results from three participants suggest that the BCIs with the last two kinds of stimuli can select a desired command with over 80% accuracy in about four seconds of selection time, showing that using the proposed BCI to control a robot is feasible.

Keywords

Brain–computer interfaceComputer scienceLinear discriminant analysisArtificial intelligencePrincipal component analysisElectroencephalographyInterface (matter)Mobile robotMotor imageryRobot

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