Abstract: Graph convolutional networks (GCNs) have attracted considerable interest in skeleton-based action recognition. Existing GCN-based models have proposed methods to learn dynamic graph ...
Abstract: The classification of motor imagery based on EEG signals is critical for motor rehabilitation with a Brain-Computer Interface (BCI). The majority of the currently available works on this ...
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