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감정 인식을 위한 PPG 데이터의 심박변이도 및 PSD 분석

Study on Heart Rate Variability and PSD Analysis of PPG Data for Emotion Recognition

  • 최진영 (충남대학교 컴퓨터공학과) ;
  • 김형신 (충남대학교 컴퓨터공학과)
  • Choi, Jin-young (Department of Computer Science and Engineering, Chungnam National University) ;
  • Kim, Hyung-shin (Department of Computer Science and Engineering, Chungnam National University)
  • 투고 : 2017.11.12
  • 심사 : 2018.01.29
  • 발행 : 2018.01.31

초록

본 논문에서는 감정에 따라 변화하는 혈류량을 측정하는 PPG 센서를 사용하여 감정을 인식하는 방법을 제안한다. 기존의 PPG 신호로부터 전력스펙트럼밀도(PSD; Power Spectrum Density)를 통해 주파수 영역에서 긍정적인 감정과 부정적인 감정을 판단하는 방법을 활용한다. 제임스 러셀의 이차원 원형 모델에 기반을 두어 감정을 기쁨, 슬픔, 짜증, 평온으로 분류하여 주파수 영역에 따른 에너지의 크기와의 연관성을 살펴본다. 본 연구는 웨어러블 디바이스에서 사용되는 동일한 PPG 센서를 사용하여 상위 네 종류의 감정을 영상 실험을 통해 주파수 영역에서 측정하였다는 것에 의의가 있다. 설문 조사를 통해 정확도와 개인에 따른 몰입 정도와 감정 변화 및 영상에 대한 바이오피드백을 수집하였다. 제안하는 방법은 앞으로 PPG 센서를 사용하는 상용화된 웨어러블 디바이스와 기존에 사용하는 스마트폰의 상황정보와 융합되어 모바일 어플리케이션 예측 서비스 등 다양한 개발이 될 것으로 기대된다.

과제정보

연구 과제 주관 기관 : 한국연구재단

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