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
보안공학연구지원센터(IJCA) [Science & Engineering Research Support Center, Republic of Korea(IJCA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Control and Automation
간기
월간
pISSN
2005-4297
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Control and Automation Vol.9 No.2