MLDA: Multi-Loss Domain Adaptor for Cross-Session and Cross-Emotion EEG-Based Individual Identification

Traditional individual identification methods, such as face and fingerprint recognition, carry the risk of personal information leakage. The uniqueness and privacy of electroencephalograms (EEG) and the popularization of EEG acquisition devices have intensified research on EEG-based individual ident...

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Veröffentlicht in:	IEEE journal of biomedical and health informatics 2023-12, Vol.27 (12), p.5767-5778
Hauptverfasser:	Miao, Yifan, Jiang, Wanqing, Su, Nuo, Shan, Jun, Jiang, Tianzi, Zuo, Nianming
Format:	Artikel
Sprache:	eng
Schlagworte:	across mental states across time Adaptation Adapters Adaptor proteins Algorithms Artificial neural networks biometric Biometric recognition systems Brain modeling Deep learning domain adaptation EEG Electroencephalography Electroencephalography - methods Emotions Feature extraction Fingerprint verification Humans Identification methods Labels Machine learning Motion pictures Neural networks Neural Networks, Computer Pattern recognition Recording Software Support vector machines Task analysis
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