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...

Full description

Saved in:
Bibliographic Details
Published inExpert systems with applications Vol. 244; p. 122777
Main Authors Wang, Yingdong, Wu, Qingfeng, Wang, Shuocheng, Fang, XiQiao, Ruan, Qungsheng
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 15.06.2024
Subjects
Online AccessGet full text

Cover

Loading…