Volume 6 Number 1 (Jan. 2017)
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IJCCE 2017 Vol.6(1): 49-56 ISSN: 2010-3743
DOI: 10.17706/IJCCE.2017.6.1.49-56

Emotion Analysis Based on Facial Expression Recognition in Virtual Learning Environment

Yongna Liu, Lirong Wang, Wanping Li
Abstract—The psychologic research find that learners' cognitive activitie had been affect by emotion in their learning process, specifically, positive emotion can promote cognitive activities, whereas negative emotion can hinder them. The affective state can be seen as a very strong predictor of thinking level in learning. Therefore, establishment of a intelligent environment and atmosphere which can recognize and adjust the emotion of students plays an important role in positive learning. Application of facial expression recognition is performed on Magic Learning which is a 3D Virtual Learning Environment (3DVLE) developed by our laboratory and experimental results suggest that our method is feasible and effective.

Index Terms—Emotion recognition, smart learning, virtual learning environment (VLE).

Yongna Liu and Wanping Li are with the College of Applied Science and Technology, Hainan University, Hainan, China, 571737. Lirong Wang is with the Department of Education, Xinzhou Teachers University, Shanxi, China, 034000.

Cite:Yongna Liu, Lirong Wang, Wanping Li, "Emotion Analysis Based on Facial Expression Recognition in Virtual Learning Environment," International Journal of Computer and Communication Engineering vol. 6, no. 1, pp. 49-56, 2017.

General Information

ISSN: 2010-3743
Frequency: Bimonthly
Editor-in-Chief: Dr. Maode Ma
Abstracting/ Indexing: EI (INSPEC, IET), Google Scholar, Crossref, Engineering & Technology Digital Library, ProQuest, and Electronic Journals Library
E-mail: ijcce@iap.org
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