Emotion Recognition from Facial Expression and Electroencephalogram Signals-Reference-Cited by-同舟云学术

Emotion Recognition from Facial Expression and Electroencephalogram Signals

Published:2012 Issue: Volume: Page:310-337
ISSN:2327-0411
Container-title:Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition
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Author:

Konar Amit¹,Chakraborty Aruna²,Bhowmik Pavel¹,Das Sauvik¹,Halder Anisha¹

Affiliation:

1. Jadavpur University, India

2. St. Thomas’ College of Engineering & Technology, India

Abstract

This chapter proposes new approaches to emotion recognition from facial expression and electroencephalogram signals. Subjects are excited with selective audio-visual stimulus, responsible for arousal of specific emotions. Manifestation of emotion which appears in facial expression and EEG are recorded. Subsequently the recorded information is analyzed for extraction of features, and a support vector machine classifier is used to classify the extracted features into emotion classes. An alternative scheme for emotion recognition directly from the electroencephalogram signals using Duffing Oscillator is also presented. Experimental results are given to compare the relative merits of the proposed schemes with existing works.

Publisher

IGI Global

Reference102 articles.

1. Bashyal, S., & Venayagamoorthy, G. K. (2008). Recognition of facial expressions using Gabor wavelets and learning vector quantization. International Journal of Engineering applications of Artificial Intelligence, 21, 1056-1064.

2. Bezdek, J. C. (1973). Fuzzy mathematics in pattern classification, Ph.D. Thesis, Unpublished doctoral dissertation, Applied Mathematics Center, Cornell University, Ithaca.

3. Bhowmik, P., Das, S., Halder, A., Chakraborty, A., Konar, A., & Janarthanan, R. (2009). Emotion classifier from stimulated EEG signals by support vector machine. 5th National Conference on Innovation in Information and Communication Technology”, NCIICT, 2009, September 25 - 26, Coimbatore, India.

4. Bhowmik, P., Das, S., Nandi, D., Chakraborty, A., Konar, A., & Nagar, A. K. (2010). Electroencephalographic signal based clustering of stimulated emotion using Duffing Oscillator. The 3rd International Multi-Conference on Engineering and Technological Innovation”, IMETI 2010, June 29th - July 2nd, Orlando, Florida, USA.

5. Emotion clustering from stimulated electroencephalographic signals using a Duffing oscillator

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