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Research Article | Open Access |

From Emotion Recognition to Website Customizations

Author 1: O. B. Efremides
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 7, No. 7 · Published 2016

DOI: https://doi.org/10.14569/IJACSA.2016.070772

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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.

Keywords

Emotion recognition classification computer vision web interfaces

How to Cite this Article

Efremides, O. B. (2016). From Emotion Recognition to Website Customizations. International Journal of Advanced Computer Science and Applications, 7(7). https://doi.org/10.14569/IJACSA.2016.070772

Efremides, O. B.. "From Emotion Recognition to Website Customizations." International Journal of Advanced Computer Science and Applications, vol. 7, no. 7, 2016, https://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},
  volume    = {7},
  number    = {7},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {O. B. Efremides},
  doi       = {10.14569/IJACSA.2016.070772},
  url       = {https://doi.org/10.14569/IJACSA.2016.070772}
}

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