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What is Facial Expression Recognition

Handbook of Research on Socio-Technical Design and Social Networking Systems
Extracting and validating emotional cues through analysis of users’ facial expressions is of high importance for improving the level of interaction in man machine communication systems. Extraction of appropriate facial features and consequent recognition of the user’s emotional state that can be robust to facial expression variations among different users is the topic of this chapter.
Published in Chapter:
The Role of Affect in an Agent-Based Collaborative E-Learning System Used for Engineering Education
Mohamed Ben Ammar (University of Sfax, Tunisia), Mahmoud Neji (University of Sfax, Tunisia), and Adel M. Alimi (University of Sfax, Tunisia)
DOI: 10.4018/978-1-60566-264-0.ch034
Abstract
Affective computing is a new artificial intelligence area that deals with the possibility of making computers able to recognize human emotions in different ways. This chapter represents an implemented framework, which integrates this new area with an intelligent tutoring system. The authors argue that tutor agents providing socially appropriate affective behaviors would provide a new dimension for collaborative learning systems. The main goal is to analyse learner facial expressions and show how affective computing could contribute to learning interactions, both by recognizing learner emotions during learning sessions and by responding appropriately.
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