Chen, G.S. and Lee, M.F. (2012) Detecting Emotion Model in e-Learning System. 2012 International Conference on Machine Learning and Cybernetics (ICMLC), Xian, 15-17 July 2012, 1686-1691.
https://doi.org/10.1109/ICMLC.2012.6359628

has been cited by the following article:

• TITLE: An Improved Three-Dimensional Model for Emotion Based on Fuzzy Theory

  AUTHORS: Zijiang Zhu, Junshan Li, Xiaoguang Deng, Yi Hu

  KEYWORDS: Emotion Model, Facial Expression, Fuzzy Theory, Three-Dimensional State-Space

  JOURNAL NAME: Journal of Computer and Communications, Vol.6 No.8, August 31, 2018

  ABSTRACT: Emotion Model is the basis of facial expression recognition system. The constructed emotional model should not only match facial expressions with emotions, but also reflect the location relationship between different emotions. In this way, it is easy to understand the current emotion of an individual through the analysis of the acquired facial expression information. This paper constructs an improved three-dimensional model for emotion based on fuzzy theory, which corresponds to the facial features to emotions based on the basic emotions proposed by Ekman. What’s more, the three-dimensional model for motion is able to divide every emotion into three different groups which can show the positional relationship visually and quantitatively and at the same time determine the degree of emotion based on fuzzy theory.