Coding, Analysis, Interpretation, and Recognition of Facial Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Facial expression recognition from video sequences: temporal and static modeling
Computer Vision and Image Understanding - Special issue on Face recognition
The FaceReader: measuring instant fun of use
Proceedings of the 4th Nordic conference on Human-computer interaction: changing roles
Real-time estimation of emotional experiences from facial expressions
Interacting with Computers
Towards an Affective Aware Home
ICOST '09 Proceedings of the 7th International Conference on Smart Homes and Health Telematics: Ambient Assistive Health and Wellness Management in the Heart of the City
ITS'12 Proceedings of the 11th international conference on Intelligent Tutoring Systems
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Emotions are very important during learning and self-assessment procedures. Measuring emotions is a very demanding task. Several tools have been developed and used for this purpose. In this paper we evaluate the efficiency of the FaceReader during a self - assessment test. We compared instant measurements of the FaceReader with the researchers' estimations regarding students' emotions. The observations took place in a properly designed room in real time. Statistical analysis showed that there are some differences between FaceReader's and researchers' estimations regarding Disgusted and Angry emotions. Generally, results showed that FaceReader is capable of measuring emotions with an efficacy of over 87% during a self-assessment test, and that it could be successfully integrated into a computer-aided learning system for the purpose of affect recognition. Moreover, this study provides useful results for the emotional states of students during self-assessment tests and learning procedures.