You are here:

Facial Expression Based Real-Time Emotion Recognition Mechanism for Students with High-Functioning Autism
PROCEEDINGS

, Department of Special Education, National University of Tainan, Taiwan, Taiwan ; , Institute of Manufacturing Information and Systems, National Chen Kung University, Taiwan ; , Department of Psychology, National Chung-Cheng University, Taiwan, Taiwan ; , , , Institute of Manufacturing Information and Systems, National Chen Kung University, Taiwan

EdMedia + Innovate Learning, in Victoria, Canada ISBN 978-1-939797-03-2 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC

Abstract

The emotional problems of students with autism may greatly affect their learning in e-learning environments. This paper presents the development of an emotion recognition mechanism based on a proposed emotional adjustment model for students with high-functioning autism in a mathematics e-learning environment. The physiological signals and facial expressions were obtained through evoking autistic students’ emotions in a mathematical e-learning environment, and used for training the emotion classification model and to verify the performance of the emotion classification mechanism. In total, 34 facial features were obtained experimentally that were conducted by using a counterbalanced design, and 46% of features were further extracted by the chi-square method, Information Gain (IG), and Wrapper feature selection methods. A Support Vector Machine was used to train the emotion recognition model and assess the performance of the proposed emotion recognition mechanism. Four emotional categori

Citation

Chu, H.C., Tsai, W.W.J., Liao, M.J., Cheng, W.K., Chen, Y.M. & Wang, S.C. (2013). Facial Expression Based Real-Time Emotion Recognition Mechanism for Students with High-Functioning Autism. In J. Herrington, A. Couros & V. Irvine (Eds.), Proceedings of EdMedia 2013--World Conference on Educational Media and Technology (pp. 1165-1173). Victoria, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved October 13, 2019 from .