This is the Linux app named Facial Expression Recognition whose latest release can be downloaded as pcaexpressprot.zip. It can be run online in the free hosting provider OnWorks for workstations.
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Facial Expression Recognition
DESCRIPTION
We propose an algorithm for facial expression recognition which can classify the given image into one of the seven basic facial expression categories (happiness, sadness, fear, surprise, anger, disgust and neutral). PCA is used for dimensionality reduction in input data while retaining those characteristics of the data set that contribute most to its variance, by keeping lower-order principal components and ignoring higher-order ones. Such low-order components contain the "most important" aspects of the data. The extracted feature vectors in the reduced space are used to train the supervised Neural Network classifier. This approach results extremely powerful because it does not require the detection of any reference point or node grid. The proposed method is fast and can be used for real-time applications.This is an application that can also be fetched from https://sourceforge.net/projects/facialexpressionrecognition/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.