Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지

Vision System for NN-based Emotion Recognition

신경회로망 기반 감성 인식 비젼 시스템

  • Lee, Sang-Yun (School of Electronic and Information Eng. Kunsan National University) ;
  • Kim, Sung-Nam (School of Electronic and Information Eng. Kunsan National University) ;
  • Joo, Young-Hoon (School of Electronic and Information Eng. Kunsan National University) ;
  • Park, Chang-Hyun (School of Electronic and Electrical Eng., Chung-Ang University) ;
  • Sim, Kwee-Bo (School of Electronic and Electrical Eng., Chung-Ang University)
  • 이상윤 (군산대학교 전자정보공학부) ;
  • 김성남 (군산대학교 전자정보공학부) ;
  • 주영훈 (군산대학교 전자정보공학부) ;
  • 박창현 (중앙대학교 전자전기공학부) ;
  • 심귀보 (중앙대학교 전자전기공학부)
  • Published : 2001.07.18
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, we propose the neural network based emotion recognition method for intelligently recognizing the human's emotion using vision system. In the proposed method, human's emotion is divided into four emotion (surprise, anger, happiness, sadness). Also, we use R,G,B(red, green, blue) color image data and the gray image data to get the highly trust rate of feature point extraction. For this, we propose an algorithm to extract four feature points (eyebrow, eye, nose, mouth) from the face image acquired by the color CCD camera and find some feature vectors from those. And then we apply back-prapagation algorithm to the secondary feature vector(position and distance among the feature points). Finally, we show the practical application possibility of the proposed method.

Keywords