Michael Hund, Dominic Böhm, Werner Sturm, Michael Sedlmair, Tobias Schreck, Torsten Ullrich, Daniel A. Keim, Ljiljana Trtica Majnarić, Andreas Holzinger
Md. Asadur Rahman, Farzana Khanam, Mohiuddin Ahmad, Mohammad Shorif Uddin
AbstractThis paper proposes a novel feature selection method utilizing Rényi
min-entropy-based algorithm for achieving a highly efficient brain–computer
interface (BCI). Usually, wavelet packet transformation (WPT) is extensively
used for feature extraction from electro-encephalogram (EEG) signals. For the
case of multiple-class problem, classification accuracy solely depends on the
effective feat... hiện toàn bộ