EEG Channel Selection for Person Identification Using Binary Grey Wolf Optimizer
Electroencephalogram signals (EEG) have provided biometric identification systems with great capabilities. Several studies have shown that EEG introduces unique and universal features besides specific strength against spoofing attacks. Essentially, EEG is a graphic recording of the brain’s el...
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| Główni autorzy: | , , , , , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
IEEE
2022-01-01
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| Seria: | IEEE Access |
| Hasła przedmiotowe: | |
| Dostęp online: | https://ieeexplore.ieee.org/document/9690588/ |
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