Building a Corpus of Facial Expressions for Learning-Centered Emotions

Recognizing emotions in software interfaces is very important today and even more in the educational field where the students can, through their emotions, reveal affective states related or not to the learning process. An educational software with the capability to recognize emotions will allow the students to receive appropriate feedback to their personal cognitive needs. In this paper a method is presented for the construction of an image database of facial expressions, in which, through the detection of EGG signals corresponding to affective states focused on education (engagement, bored, frustrated and meditation), detects and registers spontaneous facial expressions. We also show experiments with the obtained results.