Inter-Brain EEG Feature Extraction and Analysis for Continuous Implicit Emotion Tagging During Video Watching

• Published in: IEEE transactions on affective computing Vol. 12; no. 1; pp. 92 - 102
• Main Authors: Ding, Yue, Hu, Xin, Xia, Zhenyi, Liu, Yong-Jin, Zhang, Dan
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Affective computing; Amplitudes; Arousal; Brain; Correlation; EEG; Electroencephalography; Emotion; Emotions; Feature extraction; Frequencies; implicit tagging; inter-brain; Marking; Multimedia; Multimedia communication; Real time; Real-time systems; Regression analysis; Streaming media; Tagging

How to efficiently tag the emotional experience of multimedia contents is an important and challenging problem in the field of affective computing. This paper presents an EEG-based real-time emotion tagging approach, by extracting inter-brain features from a group of participants when they watch the...