Brain computer interface system for communication and robot control based on auditory evoked event-related potentials

Abstract

This study evaluates the suitability of the auditory, specifically spoken words, evoked P300 based Brain-Computer Interface (BCI) for the human-computer symbiotic control of Robotic Sensor Agents (RSA). This study is unique in using auditory evoked P300 for BCI communication and control, contrary to currently established P300 BCI research. The general, elaborate, and multi platform software framework BCIILab was developed as a part of BCI laboratory workbench used specifically in the research. Result of this study shows that it is possible to use auditory P300 based BCI for the complementary control of RSA on the strategic level. The problems encountered in classification during experiments were highlighted and suggestion for future research given.