A hybrid ensemble voting-based residual attention network for motor imagery EEG Classification
K. Jindal,
R. Upadhyay,
H. S. Singh
Abstract:Multi-class motor imagery Electroencephalography (EEG) activity decoding has always been challenging for the development of Brain Computer Interface (BCI) system. Deep learning has recently emerged as a powerful approach for BCI system development using EEG activity. However, the EEG activity analysis and classification should be robust, automated and accurate. Currently, available BCI systems perform well for binary task identification whereas, multi-class classification of EEG activity for BCI applications i… Show more
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