  Brain-Computer Interfaces (BCIs) based on Steady State Visually Evoked
Potentials (SSVEPs) have proven effective and provide significant accuracy and
information-transfer rates. This family of strategies, however, requires
external devices that provide the frequency stimuli required by the technique.
This limits the scenarios in which they can be applied, especially when
compared to other BCI approaches. In this work, we have investigated the
possibility of obtaining frequency responses in the EEG output based on the
pure visual imagination of SSVEP-eliciting stimuli. Our results show that not
only that EEG signals present frequency-specific peaks related to the frequency
the user is focusing on, but also that promising classification accuracy can be
achieved, paving the way for a robust and reliable visual imagery BCI modality.
