Building a Face Expression Recognizer and a Face Expression Database for an Intelligent Tutoring System

Abstract

This work presents the building and validating of a face expression database and a face expression recognizer. The face expression recognizer uses a geometric-based technique that measures distances between the central point on the face and other 68 facial landmark points. These measures are transformed into features to train a support vector machine. The database was built inside an educational context while students program in Java code. The tests validate the accuracy of the recognizer applying a ten-fold cross-validation.