earticle

논문검색

Cognitive Regulation and Emotion Modeling for Micro-expression

초록

영어

This paper proposed an effective system about micro-expression cognition and emotional regulation. First, the micro-expressional face was mapped into Arousal-Valence-Stance 3D emotion space. The micro-expression recognition is based on 3D-Gradient projection descriptor and the gradient magnitude weighted Nearest Neighbor Algorithm (NNA) in facial feature regions. Second, Gross cognitive reappraisal strategy was introduced to emotion analysis. In this research the emotional regulation process operated in the continuous emotional space enabling a wide range of intermediary emotions to be obtained. Finally, the micro-expression recognition algorithm was tested with the Yale University’s facial database. The cognitive emotional system was applied to the human-robot interaction. The experiment results show that this micro-expression cognitive emotional model is generally consistent with human brain emotional regulation mechanisms and efficiently improve robot’s emotion humanoid.

목차

Abstract
 1. Introduction
 2. Micro-Expression Recognition
  2.1. Facial Feature Regions
  2.2. Micro-Expression Capture
  2.3 Micro-Expression Classification
 3. Cognitive-Emotional Modeling
  3.1. Gross Cognitive Regulation
  3.2. Emotional States Interaction
  3.3. Emotion Modeling Based on HMM
 4. Experiment
  4.1. Experiment and Analysis for Micro-Expression Recognition
  4.2. Emotional Regulation Experiment and Analysis
 5. Discussion and Conclusion
 References

저자정보

  • Xie Lun School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China, 100083
  • Liu Xin School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China, 100083
  • Yang Xiujun School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China, 100083
  • Wang Zhiliang School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China, 100083

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.