EEG correlates of different emotional states elicited during watching music videos

Studying emotions has become increasingly popular in various research fields. Researchers across the globe have studied various tools to implicitly assess emotions and affective states of people. Human computer interface systems specifically can benefit from such implicit emotion evaluator module, which can help them determine their users' affective states and act accordingly. Brain electrical activity can be considered as an appropriate candidate for extracting emotion-related cues, but it is still in its infancy. In this paper, the results of analyzing the Electroencephalogram (EEG) for assessing emotions elicited during watching various pre-selected emotional music video clips have been reported. More precisely, in-depth results of both subject-dependent and subject-independent correlation analysis between time domain, and frequency domain features of EEC signal and subjects' self assessed emotions are produced and discussed.


Published in:
Proceedings of 4th International Conference on Affective Computing and Intelligent Interaction (ACII 2011), 6975
Presented at:
Affective Computing and Intelligent Interaction (ACII), Memphis, Tennessee, USA, October 9-12, 2011
Year:
2011
Publisher:
Berlin, Lecture Notes in Computer Science, Springer
ISBN:
978-3-642-24570-1
Keywords:
Laboratories:




 Record created 2011-09-02, last modified 2018-01-28

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