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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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-025-02012-6 |
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