Graph Neural Network Classification in EEG-Based Biometric Identification: Evaluation of Functional Connectivity Methods Using Time-Frequency Metric

Graph Neural Network Classification in EEG-Based Biometric Identification: Evaluation of Functional Connectivity Methods Using Time-Frequency Metric

The growing demand for secure identification has spurred interest in EEG-based biometric systems, which leverage unique brain activity patterns. Traditional univariate feature extraction methods, analyzing EEG channels independently, suffer from sensitivity to signal fluctuations. In contrast, bivar...

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Bibliographic Details
Main Authors: Roghaieh Ashenaei, Ali Asghar Beheshti Shirazi
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
EEG based biometrics
functional connectivity
graph convolutional neural network
graph signal
wavelet coherency
Online Access:https://ieeexplore.ieee.org/document/11083472/
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