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Sinc-based convolutional neural networks for EEG-BCI-based motor imagery classification

By Alessandro Bria and others
Brain-Computer Interfaces (BCI) based on motor imagery translate mental motor images recognized from the electroencephalogram (EEG) to control commands. EEG patterns of different imagination tasks, e.g. hand and foot movements, are effectively classified with machine learning techniques using band power features. Recently, also Convolutional Neural Networks (CNNs) that learn both... Show more
January 19, 2021
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Sinc-based convolutional neural networks for EEG-BCI-based motor imagery classification
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