Attention Induced Dual Convolutional-Capsule Network (AIDC-CN): A deep learning framework for motor imagery classification
Abstract: Highlights•A deep learning paradigm to classify EEG signals of subjects during motor imagination.•A dual feature extraction strategy is used to improve the accuracy of the classifier.•Design of a novel deep learning based classifier to classify motor imagery classes.•Performance analysis undertaken depicts the efficacy of the proposed classifier.
External IDs:dblp:journals/cbm/ChowdhuryBGK24
Loading