Motor-Imagery Classification Using Riemannian Geometry with Median Absolute Deviation

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Veröffentlicht in:	Electronics Jg. 9; S. 1584
Hauptverfasser:	Abu Saleh Musa Miah, Abdur Rahim, Jungpil Shin
Format:	Journal Article
Sprache:	Japanisch
Veröffentlicht:	MDPI AG 27.09.2020
Schlagworte:	Artificial intelligence Biology Brain-Computer Interfaces Brain-Computer Interfaces in Neuroscience and Medicine brain–computer interface Cellular and Molecular Neuroscience Cognitive Neuroscience Computer science Context (archaeology) Covariance electroencephalogram (EEG) Electroencephalography Eye Movement Analysis Eye Tracking in Human-Computer Interaction Feature extraction FOS: Mathematics FOS: Psychology Head Gesture Recognition Human-Computer Interaction Life Sciences linear discriminant analysis Mathematics median absolute deviation motor imagery Neural Interface Technology Neuroscience Paleontology Pattern recognition (psychology) Physical Sciences Principal component analysis Psychiatry Psychology Quadratic classifier Riemannian geometry Statistics Support vector machine
ISSN:	2079-9292
Online-Zugang:	Volltext
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