Emotion Recognition from Facial Expression Based on Bezier Curve

 Paper Title:

Emotion Recognition from Facial Expression Based on Bezier Curve
Authors:
Shruti Bansal and Pravin Nagar, Pranveer Singh Institute of Technology, India
Abstract:
Human emotions are conveyed by different medium such as behaviours, actions, poses, facial expressions and speech. Multitudinous researches have been carried out to find out the relation between these mediums and emotions. This paper proposes a system which automatically recognizes the emotion represented on a face. Thus, a Bezier curve based solution together with image processing is used in classifying the emotions. Coloured face images are given as input to the system. Then, Image processing based feature point extraction method is applied to extract a set of selected feature points. Finally, extracted features like eyes and mouth, obtained after processing is given as input to the curve algorithm to recognize the emotion contained. Experimental results show average 60% of success to analyse and recognize emotion detection.
Keywords:
Emotion Recognition, Feature detection, Bezier Curve.
Volume URL: https://airccse.org/journal/IJAIT/current2015.html
Pdf URL: https://aircconline.com/ijait/V5N6/5615ijait01.pdf
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