Emotion Recognition Based on High-Resolution EEG Recordings and Reconstructed Brain Sources

• Published in: IEEE transactions on affective computing Vol. 11; no. 2; pp. 244 - 257
• Main Authors: Becker, Hanna, Fleureau, Julien, Guillotel, Philippe, Wendling, Fabrice, Merlet, Isabelle, Albera, Laurent
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.04.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE); Institute of Electrical and Electronics Engineers
• Subjects: Affective computing; Bioengineering; Brain; Brain modeling; Channels; Classification; Datasets; EEG; Electroencephalography; Emotion recognition; Emotions; Feature extraction; functional connectivity; Life Sciences; Machine learning; Physiology; source localization; Videos; source localization; functional connectivity; emotion recognition; EEG

Electroencephalography (EEG)-based emotion recognition is currently a hot issue in the affective computing community. Numerous studies have been published on this topic, following generally the same schema: 1) presentation of emotional stimuli to a number of subjects during the recording of their EE...