Transfer learning of an ensemble of DNNs for SSVEP BCI spellers without user-specific training
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/acacca
Abstract: Objective. Steady-state visually evoked potentials (SSVEPs), measured with electroencephalogram (EEG), yield decent information transfer rates (ITRs) in brain-computer interface (BCI) spellers. However, the current high performing SSVEP BCI spellers in the literature require an initial… read more here.
Keywords: specific training; transfer; bci spellers; user ... See more keywords
Brain–Computer Interface Speller Based on Steady-State Visual Evoked Potential: A Review Focusing on the Stimulus Paradigm and Performance
Sign Up to like & getrecommendations! Published in 2021 at "Brain Sciences"
DOI: 10.3390/brainsci11040450
Abstract: The steady-state visual evoked potential (SSVEP), measured by the electroencephalograph (EEG), has high rates of information transfer and signal-to-noise ratio, and has been used to construct brain–computer interface (BCI) spellers. In BCI spellers, the targets… read more here.
Keywords: visual evoked; steady state; bci spellers; performance ... See more keywords