A Progressive Multi-Domain Adaptation Network With Reinforced Self-Constructed Graphs for Cross-Subject EEG-Based Emotion and Consciousness Recognition

Electroencephalogram (EEG)-based emotion recognition is a vital component in brain-computer interface applications. However, it faces two significant challenges: 1) extracting domain-invariant features while effectively preserving emotion-related information, and 2) aligning the joint probability di...

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Bibliografische Detailangaben

Hauptverfasser:	Rongtao Chen, Chuwen Xie, Jiahui Zhang, Qi You, Jiahui Pan
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2025-01-01
Schriftenreihe:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Schlagworte:	Electroencephalogram (EEG) emotion recognition consciousness recognition domain adaptation reinforcement learning
Online-Zugang:	https://ieeexplore.ieee.org/document/11142795/
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