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Conf Proc IEEE Eng Med Biol Soc. 2009;2009:5316-9. doi: 10.1109/IEMBS.2009.5333524.

EEG dynamics during music appreciation.

Author information

1
Department of Electrical Engineering, National Taiwan University, Taiwan. yplin@sccn.ucsd.edu

Abstract

This study explores the electroencephalographic (EEG) correlates of emotions during music listening. Principal component analysis (PCA) is used to correlate EEG features with complex music appreciation. This study also applies machine-leaning algorithms to demonstrate the feasibility of classifying EEG dynamics in four subjectively-reported emotional states. The high classification accuracy (81.58+/-3.74%) demonstrates the feasibility of using EEG features to assess emotional states of human subjects. Further, the spatial and spectral patterns of the EEG most relevant to emotions seem reproducible across subjects.

PMID:
19964121
DOI:
10.1109/IEMBS.2009.5333524
[Indexed for MEDLINE]

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