Automatic EEG channel selection for multiclass brain-computer interface classification using multiobjective improved firefly algorithm

Multichannel Electroencephalography-based Brain-Computer Interface (BCI) systems facilitate a communicating medium between the human brain and the outside world. BCI systems aim to translate human intentions into computer-based control commands by decoding the respective brain patterns. Moreover, El...

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Vydáno v:	Multimedia tools and applications Ročník 82; číslo 4; s. 5405 - 5433
Hlavní autoři:	Tiwari, Anurag, Chaturvedi, Amrita
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.02.2023 Springer Nature B.V
Témata:	1178: Pattern Recognition for Adaptive User Interfaces Algorithms Channels Communication Competition Computer Communication Networks Computer Science Data Structures and Information Theory Datasets Dimensional analysis Electroencephalography Feature extraction Heuristic methods Human-computer interface Image classification Liapunov exponents Multimedia Information Systems Signal processing Special Purpose and Application-Based Systems Support vector machines Spectral entropy Brain-computer Interface Firefly algorithm Lyapunov exponent Regularized support vector machine Regularized common spatial pattern with aggregation Fisher information
ISSN:	1380-7501, 1573-7721
On-line přístup:	Získat plný text
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