EEG-Based Emotion Recognition in Music Listening

• Published in: IEEE transactions on biomedical engineering Vol. 57; no. 7; pp. 1798 - 1806
• Main Authors: Lin, Yuan-Pin, Wang, Chi-Hong, Jung, Tzyy-Ping, Wu, Tien-Lin, Jeng, Shyh-Kang, Duann, Jeng-Ren, Chen, Jyh-Horng
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.07.2010; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adult; Affectivity. Emotion; Algorithms; Applied sciences; Artificial Intelligence; Bayes Theorem; Biological and medical sciences; Brain; Computer science; control theory; systems; EEG; Electrodes; Electroencephalography; Electroencephalography - methods; Electromyography; emotion; Emotion recognition; Emotions - physiology; Evoked Potentials, Auditory - physiology; Exact sciences and technology; Female; Fundamental and applied biological sciences. Psychology; Hospitals; Humans; IEEE activities; machine learning; Male; music; Music - psychology; Pattern Recognition, Automated - methods; Personality. Affectivity; Psychology. Psychoanalysis. Psychiatry; Psychology. Psychophysiology; Signal Processing, Computer-Assisted; Support vector machine classification; Support vector machines; Human; Acquisition process; emotion; Music; EEG; Electrophysiology; Electroencephalography; machine learning; Learning algorithm; Artificial intelligence; Biomedical engineering

Ongoing brain activity can be recorded as electroen-cephalograph (EEG) to discover the links between emotional states and brain activity. This study applied machine-learning algorithms to categorize EEG dynamics according to subject self-reported emotional states during music listening. A framework...