Modelo de Inferencia del Estado Afectivo basado en el análisis de la Expresión Facial (An Affective Inference Model based on Facial Expression Analysis)

Paula Lago (, Claudia Jiménez Guarín (

Universidad de Los Andes
This paper appears in: Revista IEEE América Latina

Publication Date: May 2014
Volume: 12,   Issue: 3 
ISSN: 1548-0992

Most of the work in the affective computing field focuses on the recognition of the six basic emotions (sadness, happiness, anger, surprise, disgust and fear). However, when doing academic activities like reading, researching, doing homework or others, these basic emotions are not reported as frequently as others such as interest, confusion and boredom. In this work we propose a computational model of emotion taking into account these three emotions. The model was constructed based on a video analysis of 35 engineering students during two class activities, all of whom reported the emotions they were feeling as they performed the activity. Twenty-two of them were recorded performing a test and the other thirteen were recorded performing a guided activity. From the video, facial expressions were extracted and matched with the emotion reported. The timing of the facial expression was also taken. This allowed us to construct patterns of facial expression and emotion inference rules. Our model is based on distances and indicators of change with respect to a user baseline, which allows the model to adapt to different users, moods and personal manners. Recognizing interest, boredom and confusion can be used as an implicit feedback in recommendation systems.

Index Terms:
affective computing, facial expression, implicit feedback, computational model of emotion, interest, boredom, confusion   

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