EEG Based Emotion Recognition by Combining Functional Connectivity Network and Local Activations

• Published in: IEEE transactions on biomedical engineering Vol. 66; no. 10; pp. 2869 - 2881
• Main Authors: Li, Peiyang, Zhang, Yangsong, Xu, Peng, Liu, Huan, Si, Yajing, Li, Cunbo, Li, Fali, Zhu, Xuyang, Huang, Xiaoye, Zeng, Ying, Yao, Dezhong
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.10.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: activation patterns; Brain; Data processing; EEG; Electric power distribution; Electroencephalogram (EEG); Electroencephalography; Emotion recognition; Emotions; Feature extraction; Frequency dependence; Information dissemination; Information processing; Locking; multiple-feature fusion; network patterns; Neural networks; Performance enhancement; Synchronization; System effectiveness

Objective: Spectral power analysis plays a predominant role in electroencephalogram-based emotional recognition. It can reflect activity differences among multiple brain regions. In addition to activation difference, different emotions also involve different large-scale network during related inform...