Emotion Recognition from Human Eye Expression
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2013, Vol 2, Issue 4
Abstract
Facial expressions play an essential role in communications in social interactions with other human beings which deliver rich information about their emotions. The most crucial feature of human interaction that grants naturalism to the process is our ability to infer the emotional states of others. Our goal is to categorize the various human emotions from their eye expressions. The proposed system presents a human emotion recognition system that analyzes the human eye region from video sequences. From the frames of the video stream the human eyes can be extracted using the well known canny edge operator and classified using a non – linear Support Vector machine (SVM) classifier. Finally, we use standard learning tool, Hidden Markov Model (HMM) for recognizing the emotions from the human eye expressions.
Authors and Affiliations
Vinotha SRamaraj, Arun Ravindran, Arun Thirumurugan
Keywords
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