Original paper
Comparing user-dependent and user-independent training of CNN for SSVEP BCI
Abstract
Objective . We presented a comparative study on the training methodologies of a convolutional neural network (CNN) for the detection of steady-state visually evoked potentials (SSVEP). Two training scenarios were also compared: user-independent (UI) training and user-dependent (UD) training. Approach . The CNN was trained in both UD and UI scenarios on two types of features for SSVEP classification: magnitude spectrum features (M-CNN) and...
Paper Details
Title
Comparing user-dependent and user-independent training of CNN for SSVEP BCI
Published Date
Apr 1, 2020
Volume
17
Issue
2
Pages
026028 - 026028
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