Advancing EEG-based biometric identification through multi-modal data fusion and deep learning techniques

Advancing EEG-based biometric identification through multi-modal data fusion and deep learning techniques

Abstract The integration of diverse data modalities is critical for advancing the understanding and optimization of complex systems. In this context, EEG-based biometric identification represents a unique challenge and opportunity for multi-modal data fusion. EEG signals, characterized by their high...

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Bibliographic Details
Main Authors: Touseef Ur Rehman, Madallah Alruwaili, Muhammad Hameed Siddiqi, Yousef Alhwaiti, Sajid Anwar, Zahid Halim, Maaz Alam
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Complex & Intelligent Systems
Subjects:
EEG-based biometric identification
Multi-modal data fusion
Deep learning
Pattern recognition
Complex systems optimization
Online Access:https://doi.org/10.1007/s40747-025-02012-6
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https://doi.org/10.1007/s40747-025-02012-6

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