Motor-Imagery Classification Using Riemannian Geometry with Median Absolute Deviation
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| Veröffentlicht in: | Electronics Jg. 9; S. 1584 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Journal Article |
| Sprache: | Japanisch |
| Veröffentlicht: |
MDPI AG
27.09.2020
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| ISSN: | 2079-9292 |
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| Author | Abu Saleh Musa Miah Jungpil Shin Abdur Rahim |
|---|---|
| Author_xml | – sequence: 1 orcidid: 0000-0002-1238-0464 fullname: Abu Saleh Musa Miah – sequence: 2 orcidid: 0000-0003-2300-1420 fullname: Abdur Rahim – sequence: 3 orcidid: 0000-0002-7476-2468 fullname: Jungpil Shin |
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| PublicationTitle | Electronics |
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| StartPage | 1584 |
| SubjectTerms | 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 |
| Title | Motor-Imagery Classification Using Riemannian Geometry with Median Absolute Deviation |
| URI | https://cir.nii.ac.jp/crid/1870021791320323712 |
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