Personal-Zscore: Eliminating Individual Difference for EEG-Based Cross-Subject Emotion Recognition

• Published in: IEEE transactions on affective computing Vol. 14; no. 3; pp. 2077 - 2088
• Main Authors: Chen, Huayu, Sun, Shuting, Li, Jianxiu, Yu, Ruilan, Li, Nan, Li, Xiaowei, Hu, Bin
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.07.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Affective computing; Brain modeling; Computational modeling; Correlation analysis; Data visualization; Datasets; EEG; Electroencephalography; Emotion recognition; Emotions; Entropy; Feature extraction; individual difference; subject-dependent; subject-independent

It was observed that accuracy of the Subject-Dependent emotion recognition model was much higher than that of the Subject-Independent model in the field of electroencephalogram (EEG) based affective computing. This phenomenon is mainly caused by the individual difference of EEG, which is the key is...