An Approach to Emotion Recognition Using Brain Rhythm Sequencing and Asymmetric Features

• Published in: Cognitive computation Vol. 14; no. 6; pp. 2260 - 2273
• Main Authors: Li, Jia Wen, Chen, Rong Jun, Barma, Shovan, Chen, Fei, Pun, Sio Hang, Mak, Peng Un, Wang, Lei Jun, Zeng, Xian Xian, Ren, Jin Chang, Zhao, Hui Min
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.11.2022; Springer Nature B.V
• Subjects: Artificial Intelligence; Asymmetry; Bioinformatics; Brain; Classification; Computation by Abstract Devices; Computational Biology/Bioinformatics; Computer Science; COVID-19; Electroencephalography; Emotion recognition; Emotions; Feature recognition; Portable equipment; Rhythm; Support vector machines; Asymmetric features; Emotion recognition; Electroencephalography; Symmetrical channels; Brain rhythm sequencing

Emotion can be influenced during self-isolation, and to avoid severe mood swings, emotional regulation is meaningful. To achieve this, efficiently recognizing emotion is a vital step, which can be realized by electroencephalography signals. Previously, inspired by the knowledge of sequencing in bioi...