Research on Affective State Recognition in E-Learning System by Using Neural Network

Authors:
Egui Zhu;Qizhen Liu;Xiaoshuang Xu;Tinan Lei
Affiliations:
Faculty of Education, Hubei University, Wuhan 430062, China;Faculty of Education, Hubei University, Wuhan 430062, China;College of Computer Science & Technology, Huazhong University of Science and Technology, Wuhan 430000, China;Faculty of Education, Hubei University, Wuhan 430062, China
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Year:
2007

Citing 3
Cited 0

Affective computing

Affective computing
Automatic Analysis of Facial Expressions: The State of the Art

IEEE Transactions on Pattern Analysis and Machine Intelligence
Affective computing: challenges

International Journal of Human-Computer Studies - Application of affective computing in human—Computer interaction

Quantified Score

Hi-index	0.00

Visualization

Abstract

Aiming at current E-Learning system was not able to estimate the affective state of the users , an intelligent affective state recognizer that used facial expression as input was proposed and implemented in the paper. The recognizer system consists of two neural network classifiers and a fuzzy logic facial analysis module. The recognizer system had been used in an E-Learning system to recognize the emotion state. The results manifested that the recognizer system was effective. However, other bio-signals such as heartbeat, skin resistance and voice tone could also be used for affective state recognition.