Deep temporal networks for EEG-based motor imagery recognition
The electroencephalogram (EEG) based motor imagery (MI) signal classification, also
known as motion recognition, is a highly popular area of research due to its applications in …
known as motion recognition, is a highly popular area of research due to its applications in …
A Spatiotemporal Feature Extraction Technique Using Superlet-CNN Fusion for Improved Motor Imagery Classification
In the realm of Brain-Computer Interface (BCI) research, the precise decoding of motor
imagery electroencephalogram (MI-EEG) signals is pivotal for the realization of systems that …
imagery electroencephalogram (MI-EEG) signals is pivotal for the realization of systems that …