Recognition of Facial Expressions by Neural Network

KEYWORDS:

ABSTRACT:
    The goal of our study is placed at part of the project Active Human Interface. We have set of 60 photos with faces expressing 6 basic emotions (happiness, surprise, anger, disgust, sadness, fear). From these photos we obtain 30 x- and y- coordinates of facial characteristic points representing 3 face components (eyes, eyebrows, mouth). After data pre-processing we try to recognize emotions by neural network. We use fast-back propagation algorithm for supervised learning. We test many different network topologies. We reach correct recognition ratio about 75% and find many difficulties concerning conveying human emotions. As well we use Kohonen's self-organizing maps for unsupervised learning.