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Updated: Jun 2, 2026

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
Published on: November 24, 2015
SSVEP-based Bremen-BCI interface--boosting information transfer rates
1Institute of Automation, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany. volosyak@iat.uni-bremen.de
Abstract:
In recent years, there has been increased interest in using steady-state visual evoked potentials (SSVEP) in brain-computer interface (BCI) systems; the SSVEP approach currently provides the fastest and most reliable communication paradigm for the implementation of a non-invasive BCI. This paper presents recent developments in the signal processing of the SSVEP-based Bremen BCI system, which allowed one of the subjects in an online experiment to reach a peak information transfer rate (ITR) of 124 bit min(-1). It is worth mentioning that this ITR value is higher than all values previously published in the literature for any kind of BCI paradigm.
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