From Emotion Recognition to Website Customizations
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 7
Abstract
A computer vision system that recognizes the emotions of a website’s user and customizes the context and the presentation of this website accordingly is presented herein. A logistic regression classifiers is trained over the Extended Cohn- Kanade dataset in order to recognize the emotions. The Scale- Invariant Feature Transform algorithm over two different part of an image, the face and the eyes without any special pixel intensities preprocessing, is used to describe each emotion. The testing phase shows a significant improvement in the classification results. A toy web site, as a proof of concept, is also developed.
Authors and Affiliations
O. Efremides
Keywords
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- EP ID EP118085
- DOI 10.14569/IJACSA.2016.070772
- Views 108
- Downloads 0
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