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Updated: May 25, 2026

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
Published on: November 24, 2015
SSVEP-BCI implementation for 37-40 Hz frequency range
Sandra Mara Torres Müller1, Pablo F Diez, Teodiano Freire Bastos-Filho
1Department of Engineering and Computation, North Center, CEUNES, Federal University of Espírito Santo, São Mateus, Brazil. sandramuller@ceunes.ufes.br
Abstract:
This work presents a Brain-Computer Interface (BCI) based on Steady State Visual Evoked Potentials (SSVEP), using higher stimulus frequencies (>30 Hz). Using a statistical test and a decision tree, the real-time EEG registers of six volunteers are analyzed, with the classification result updated each second. The BCI developed does not need any kind of settings or adjustments, which makes it more general. Offline results are presented, which corresponds to a correct classification rate of up to 99% and a Information Transfer Rate (ITR) of up to 114.2 bits/min.
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