Generalizations of the subject-independent feature set for music-induced emotion recognition

Yuan Pin Lin, Jyh Horng Chen, Jeng Ren Duann, Chin Teng Lin, Tzyy Ping Jung

研究成果: 書貢獻/報告類型會議論文篇章同行評審

4 引文 斯高帕斯(Scopus)

摘要

Electroencephalogram (EEG)-based emotion recognition has been an intensely growing field. Yet, how to achieve acceptable accuracy on a practical system with as fewer electrodes as possible is less concerned. This study evaluates a set of subject-independent features, based on differential power asymmetry of symmetric electrode pairs [1], with emphasis on its applicability to subject variability in music-induced emotion classification problem. Results of this study have evidently validated the feasibility of using subject-independent EEG features to classify four emotional states with acceptable accuracy in second-scale temporal resolution. These features could be generalized across subjects to detect emotion induced by music excerpts not limited to the music database that was used to derive the emotion-specific features.

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主出版物標題33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
頁面6092-6095
頁數4
DOIs
出版狀態已出版 - 2011
事件33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
持續時間: 30 8月 20113 9月 2011

出版系列

名字Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN(列印)1557-170X

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???event.eventtypes.event.conference???33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
國家/地區United States
城市Boston, MA
期間30/08/113/09/11

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