From Emotion Recognition to Website Customizations

Abstract

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 CohnKanade dataset in order to recognize the emotions. The ScaleInvariant 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.