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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 7, 2016.
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.
O. B. Efremides, “From Emotion Recognition to Website Customizations” International Journal of Advanced Computer Science and Applications(IJACSA), 7(7), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070772
@article{Efremides2016,
title = {From Emotion Recognition to Website Customizations},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070772},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070772},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {7},
author = {O. B. Efremides}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.