EEG Channel Selection Based User Identification via Improved Flower Pollination Algorithm

EEG Channel Selection Based User Identification via Improved Flower Pollination Algorithm

The electroencephalogram (EEG) introduced a massive potential for user identification. Several studies have shown that EEG provides unique features in addition to typical strength for spoofing attacks. EEG provides a graphic recording of the brain’s electrical activity that electrodes can capture on...

Full description

Bibliographic Details
Main Authors: Zaid Abdi Alkareem Alyasseri, Osama Ahmad Alomari, João P. Papa, Mohammed Azmi Al-Betar, Karrar Hameed Abdulkareem, Mazin Abed Mohammed, Seifedine Kadry, Orawit Thinnukool, Pattaraporn Khuwuthyakorn
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Sensors
Subjects:
EEG
biometric
<i>β</i>-hill climbing
flower pollination algorithm
feature selection
auto-repressive
Online Access:https://www.mdpi.com/1424-8220/22/6/2092

Similar Items

Similar Items