Motor-Imagery Classification Using Riemannian Geometry with Median Absolute Deviation

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Vydané v:	Electronics Ročník 9; s. 1584
Hlavní autori:	Abu Saleh Musa Miah, Abdur Rahim, Jungpil Shin
Médium:	Journal Article
Jazyk:	Japanese
Vydavateľské údaje:	MDPI AG 27.09.2020
Predmet:	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
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Popis
ISSN:	2079-9292
DOI:	10.3390/electronics9101584