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

• 作者: Junshan Li Xiaoguang Deng Yi Hu Zijiang Zhu
• 来源期刊: 电脑和通信(英文)
• 学科: 医学
• 关键词: EMOTION Model FACIAL Expression FUZZY THEORY THREE-DIMENSIONAL STATE-SPACE
• 年，卷（期）: 2018,（8）
• 页码范围: 101-111
• 页数: 11页
• 分类号: R73

摘要

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.