Emotion Recognition from Facial Expression and Electroencephalogram Signals

View Sample PDF

Author(s): Amit Konar (Jadavpur University, India), Aruna Chakraborty (St. Thomas’ College of Engineering & Technology, India), Pavel Bhowmik (Jadavpur University, India), Sauvik Das (Jadavpur University, India)and Anisha Halder (Jadavpur University, India)
Copyright: 2012
Pages: 28
Source title: Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies
Source Author(s)/Editor(s): Vijay Kumar Mago (Simon Fraser University, Canada)and Nitin Bhatia (DAV College, India)
DOI: 10.4018/978-1-61350-429-1.ch017

Keywords: Artificial Intelligence / Computer Science & IT / Information Science Reference

Purchase

View Emotion Recognition from Facial Expression and Electroencephalogram Signals on the publisher's website for pricing and purchasing information.

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.

The IRMA Community

Research IRM

Emotion Recognition from Facial Expression and Electroencephalogram Signals

Purchase

Abstract

Related Content

IRMA Sponsors