NDLI: Emotion recognition with consideration of facial expression and physiological signals

Content Provider	IEEE Xplore Digital Library
Author	Chuan-Yu Chang Jeng-Shiun Tsai Chi-Jane Wang Pau-Choo Chung
Copyright Year	2009
Description	Author affiliation: Department of Electrical Engineering, National Cheng Kung University, Taiwan (Pau-Choo Chung) \|\| Department of Computer and Communication Engineering, National Yunlin University of Science & Technology, Taiwan (Chuan-Yu Chang) \|\| Department of Nursing, National Cheng Kung University, Taiwan (Chi-Jane Wang)
Abstract	An emotion recognition system with consideration of facial expression and physiological signals is proposed in this paper. A specific designed mood induction experiment is performed to collect facial expressing images and physiological signals of subjects. We detected 14 feature points and extracted 12 facial features from facial expression images. Meanwhile, we measure the skin conductivity, finger temperature and heart rate from the subject. Both facial and physiological features are adopted to train the classifiers. Two learning vector quantization (LVQ) neural networks were applied to classify four emotions: love, joy, surprise and fear. Experimental results show the proposed recognition system is able to identify four emotions by facial expressions, physiological signals, and both of them.
Starting Page	278
Ending Page	283
File Size	1230682
Page Count	6
File Format	PDF
ISBN	9781424427567
DOI	10.1109/CIBCB.2009.4925739
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Emotion recognition Signal design Mood Face detection Feature extraction Computer vision Facial features Conductivity measurement Skin Fingers
Content Type	Text
Resource Type	Article

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