Journal of the Institute of Convergence Signal Processing (융합신호처리학회논문지)

The Korea Institute of Convergence Signal Processing (한국융합신호처리학회)
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Real-time emotion analysis service with big data-based user face recognition

빅데이터 기반 사용자 얼굴인식을 통한 실시간 감성분석 서비스

  • Kim, Jung-Ah (Division of Computer Engineering, Dongseo University) ;
  • Park, Roy C. (Division of Computer Engineering, Dongseo University) ;
  • Hwang, Gi-Hyun (Division of Computer Engineering, Dongseo University)
  • 김정아 (동서대학교 컴퓨터공학부) ;
  • 박찬홍 (동서대학교 컴퓨터공학부) ;
  • 황기현 (동서대학교 컴퓨터공학부)
  • Received : 2017.10.30
  • Accepted : 2017.12.16
  • Published : 2017.12.31
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Abstract

In this paper, we use face database to detect human emotion in real time. Although human emotions are defined globally, real emotional perception comes from the subjective thoughts of the judging person. Therefore, judging human emotions using computer image processing technology requires high technology. In order to recognize the emotion, basically the human face must be detected accurately and the emotion should be recognized based on the detected face. In this paper, based on the Cohn-Kanade Database, one of the face databases, faces are detected by combining the detected faces with the database.

본 논문에서는 실시간으로 사람의 감정을 검출하기 위해 얼굴 데이터베이스를 사용하여 감정을 인식한다. 사람의 감정은 사전적으로 정의되어 있지만 실제 감정인식은 판단하는 사람의 주관적인 생각에서 이루어진다. 따라서 컴퓨터 영상처리 기술을 이용하여 사람의 감정을 판단한다는 것은 높은 기술력을 요구한다. 감정을 인식하려면 기본적으로 사람의 얼굴을 정확하게 검출해야하고, 검출된 얼굴을 바탕으로 감정을 인식하여야 한다. 본 논문에서는 얼굴 데이터베이스 중 하나인 Cohn-Kanade Database를 바탕으로 검출이 완료된 얼굴영역에 데이터베이스를 접목하여 얼굴을 검출하였다.

Keywords

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