21 citations · 35 across the 4 of their papers we have counts for
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eess.SP2020
Binarization Methods for Motor-Imagery Brain-Computer Interface Classification
Michael Hersche, Luca Benini, Abbas Rahimi
Successful motor-imagery brain-computer interface (MI-BCI) algorithms either extract a large number of handcrafted features and train a classifier, or combine feature extraction an…
eess.SP2020★ 3 cited
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces
Thorir Mar Ingolfsson, Michael Hersche, Xiaying Wang +3
In recent years, deep learning (DL) has contributed significantly to the improvement of motor-imagery brain-machine interfaces (MI-BMIs) based on electroencephalography(EEG). While…