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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Veröffentlicht in:	IEEE access Jg. 6; S. 49192 - 49208
Hauptverfasser:	Selim, Sahar, Tantawi, Manal Mohsen, Shedeed, Howida A., Badr, Amr
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.01.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
Online-Zugang:	Volltext
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