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EEG-based emotion recognition in music listening.
IEEE Trans Biomed Eng. 2010 Jul; 57(7):1798-806.IT

Abstract

Ongoing brain activity can be recorded as electroencephalograph (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 was proposed to optimize EEG-based emotion recognition by systematically 1) seeking emotion-specific EEG features and 2) exploring the efficacy of the classifiers. Support vector machine was employed to classify four emotional states (joy, anger, sadness, and pleasure) and obtained an averaged classification accuracy of 82.29% +/- 3.06% across 26 subjects. Further, this study identified 30 subject-independent features that were most relevant to emotional processing across subjects and explored the feasibility of using fewer electrodes to characterize the EEG dynamics during music listening. The identified features were primarily derived from electrodes placed near the frontal and the parietal lobes, consistent with many of the findings in the literature. This study might lead to a practical system for noninvasive assessment of the emotional states in practical or clinical applications.

Authors+Show Affiliations

Department of Electrical Engineering, National Taiwan University, Taipei 10617, Taiwan. yplin0115@gmail.comNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

20442037

Citation

Lin, Yuan-Pin, et al. "EEG-based Emotion Recognition in Music Listening." IEEE Transactions On Bio-medical Engineering, vol. 57, no. 7, 2010, pp. 1798-806.
Lin YP, Wang CH, Jung TP, et al. EEG-based emotion recognition in music listening. IEEE Trans Biomed Eng. 2010;57(7):1798-806.
Lin, Y. P., Wang, C. H., Jung, T. P., Wu, T. L., Jeng, S. K., Duann, J. R., & Chen, J. H. (2010). EEG-based emotion recognition in music listening. IEEE Transactions On Bio-medical Engineering, 57(7), 1798-806. https://doi.org/10.1109/TBME.2010.2048568
Lin YP, et al. EEG-based Emotion Recognition in Music Listening. IEEE Trans Biomed Eng. 2010;57(7):1798-806. PubMed PMID: 20442037.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - EEG-based emotion recognition in music listening. AU - Lin,Yuan-Pin, AU - Wang,Chi-Hong, AU - Jung,Tzyy-Ping, AU - Wu,Tien-Lin, AU - Jeng,Shyh-Kang, AU - Duann,Jeng-Ren, AU - Chen,Jyh-Horng, Y1 - 2010/05/03/ PY - 2010/5/6/entrez PY - 2010/5/6/pubmed PY - 2010/10/29/medline SP - 1798 EP - 806 JF - IEEE transactions on bio-medical engineering JO - IEEE Trans Biomed Eng VL - 57 IS - 7 N2 - Ongoing brain activity can be recorded as electroencephalograph (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 was proposed to optimize EEG-based emotion recognition by systematically 1) seeking emotion-specific EEG features and 2) exploring the efficacy of the classifiers. Support vector machine was employed to classify four emotional states (joy, anger, sadness, and pleasure) and obtained an averaged classification accuracy of 82.29% +/- 3.06% across 26 subjects. Further, this study identified 30 subject-independent features that were most relevant to emotional processing across subjects and explored the feasibility of using fewer electrodes to characterize the EEG dynamics during music listening. The identified features were primarily derived from electrodes placed near the frontal and the parietal lobes, consistent with many of the findings in the literature. This study might lead to a practical system for noninvasive assessment of the emotional states in practical or clinical applications. SN - 1558-2531 UR - https://www.unboundmedicine.com/medline/citation/20442037/EEG_based_emotion_recognition_in_music_listening_ L2 - https://dx.doi.org/10.1109/TBME.2010.2048568 DB - PRIME DP - Unbound Medicine ER -