A CSP\AM-BA-SVM Approach for Motor Imagery BCI System

Brain-computer interface (BCI) has become extremely popular in recent decades. It gained its significance from the intention of helping paralyzed people communicate with the external environment. One of the major challenges facing BCI systems is obtaining reliable classification accuracy of motor im...

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Vydané v:	IEEE access Ročník 6; s. 49192 - 49208
Hlavní autori:	Selim, Sahar, Tantawi, Manal Mohsen, Shedeed, Howida A., Badr, Amr
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.01.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Accuracy Algorithms Attractor metagene algorithm Band-pass filters Bat algorithm brain computer interface Cognitive tasks Competition Datasets Electroencephalography Feature extraction Human-computer interface Image classification motor imagery Optimization Support vector machines Synchronous motors Task analysis Training
ISSN:	2169-3536, 2169-3536
On-line prístup:	Získať plný text
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