Eeg-Based Person Identification Using Multi-Levelwavelet Decomposition With Multi-Objective Flower Pollination Algorithm

Recently, several studies showed that the brain electrical activity or electroencephalogram (EEG) signals provide unique features that can be considered as user identification techniques. But, it is a challenging task where there are three important things must be addressed carefully in any EEG-base...

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Détails bibliographiques
Auteur principal: Yahya Alyasseri, Zaid Abdi Alkareem
Format: Thèse
Langue:anglais
Publié: 2020
Sujets:
Accès en ligne:http://eprints.usm.my/52571/
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