標題: Generalizations of the Subject-independent Feature Set for Music-induced Emotion Recognition
作者: Lin, Yuan-Pin
Chen, Jyh-Horng
Duann, Jeng-Ren
Lin, Chin-Teng
Jung, Tzyy-Ping
腦科學研究中心
Brain Research Center
公開日期: 2011
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.
URI: http://hdl.handle.net/11536/15457
ISBN: 978-1-4244-4122-8
期刊: 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
起始頁: 6092
結束頁: 6095
顯示於類別:會議論文