MI-EEG: Generalized model based on mutual information for EEG emotion recognition without adversarial training
EEG-based emotion classification is a vital aspect of human–machine interfaces. However, inter-subject variability poses a challenge for accurate domain-agnostic EEG emotion recognition, often requiring individual model calibration with a robust base model for fine-tuning. To overcome this limitatio...
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Published in | Expert systems with applications Vol. 244; p. 122777 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
15.06.2024
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Subjects | |
Online Access | Get full text |
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