Electroencephalogram Emotion Recognition Using Variational Modal Decomposition Based Dispersion Entropy Feature Extraction

• Published in: 2021 40th Chinese Control Conference (CCC) pp. 3323 - 3326
• Main Authors: Hu, Si-Jun, Liu, Zhen-Tao, Ding, Xue-Wen
• Format: Conference Proceeding
• Language: English
• Published: Technical Committee on Control Theory, Chinese Association of Automation 26.07.2021
• Subjects: Brain modeling; Dispersion Entropy; EEG Emotion recognition; Electroencephalography; Emotion recognition; Feature extraction; Real-time systems; Support vector machines; SVM; Temporal lobe; VMD

Electroencephalogram (EEG) emotion recognition has gained considerable attention due to its ability to reflect people's inner emotional states objectively and naturally. Feature extraction is a critical step in EEG emotion recognition because of non-stationarity and irregularity of EEG signals....