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Found 3 papers, 3 papers with code
Source-Free Domain Adaptation for SSVEP-based Brain-Computer Interfaces
This paper presents a source free domain adaptation method for steady-state visually evoked potentials (SSVEP) based brain-computer interface (BCI) spellers.
Transfer Learning of an Ensemble of DNNs for SSVEP BCI Spellers without User-Specific Training
We transfer this ensemble of fine-tuned DNNs to the new user instance, determine the k most representative DNNs according to the participants' statistical similarities to the new user, and predict the target character through a weighted combination of the ensemble predictions.
A Deep Neural Network for SSVEP-based Brain-Computer Interfaces
Objective: Target identification in brain-computer interface (BCI) spellers refers to the electroencephalogram (EEG) classification for predicting the target character that the subject intends to spell.
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