HIGH ACCURACY EEG BIOMETRICS IDENTIFICATION USING ICA AND AR MODEL

HIGH ACCURACY EEG BIOMETRICS IDENTIFICATION USING ICA AND AR MODEL

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Modern biometric identification methods combine interdisciplinary approaches to enhance person identification and classification accuracy. One popular technique for this purpose is Brain-Computer Interface (BCI). The signal so obtained from BCI will be further processed by the Autoregressive (AR) Mo...

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Bibliographic Details
Main Authors: Chesada Kaewwit, Chidchanok Lursinsap, Peraphon Sophatsathit
Format: Article
Language:English
Published: UUM Press 2017-11-01
Series:Journal of ICT
Subjects:
electroencephalogram (EEG)
Autoregressive (AR)
Independent Component Analysis (ICA)
Biometrics
feature extraction
person classification
Online Access:https://e-journal.uum.edu.my/index.php/jict/article/view/8236

Internet

https://e-journal.uum.edu.my/index.php/jict/article/view/8236

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