Emotion Recognition in E-learning Systems
Technological advances in e-learning systems offer new opportunities for students to reinforce academic development and to improve accessibility to education. Facial expression recognition is an increasingly important area in intelligent e-learning systems. However, supporting the emotional side of...
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Published in | 2018 6th International Conference on Multimedia Computing and Systems (ICMCS) pp. 1 - 6 |
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Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.05.2018
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Subjects | |
Online Access | Get full text |
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Summary: | Technological advances in e-learning systems offer new opportunities for students to reinforce academic development and to improve accessibility to education. Facial expression recognition is an increasingly important area in intelligent e-learning systems. However, supporting the emotional side of students during learning tasks is challenging and demands an awareness of students' emotions. For this purpose, a brief review is presented in order to underlie the importance role of facial expression recognition in e-learning systems. Its role in special education is investigated too. This paper centers on facial expression recognition using convolutional neural networks and its application in e-learning systems, by introducing a new system composed of three main steps: preprocessing, features extraction and classification. We tested the proposed system with students aged between 8 and 12 years old, in an educational game. The results showed that the proposed system reached state of the art results. |
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ISSN: | 2472-7652 |
DOI: | 10.1109/ICMCS.2018.8525872 |