EEG Feature Extraction for Person Identification Using Wavelet Decomposition and Multi-Objective Flower Pollination Algorithm

In the modern life, the authentication technique for any system is considered as one of the most important and challenging tasks. Therefore, many researchers have developed traditional authentication systems to deal with our digital society. Recently, several studies showed that the brain electrical...

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Veröffentlicht in:	IEEE access 2018, Vol.6, p.76007-76024
Hauptverfasser:	Alyasseri, Zaid Abdi Alkareem, Khader, Ahamad Tajudin, Al-Betar, Mohammed Azmi, Papa, Joao P., Alomari, Osama Ahmad
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biometric authentication Decomposition Discrete wavelet transforms EEG Electroencephalography Feature extraction flower pollination algorithm multi-objective Multiple objective analysis Noise reduction Task analysis wavelet decomposition Wavelet transforms
Online-Zugang:	Volltext
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