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

감정 인식을 위한 PPG 데이터의 심박변이도 및 PSD 분석

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


In this paper, we propose a method of recognizing emotions using PPG sensor which measures blood flow according to emotion. From the existing PPG signal, we use a method of determining positive emotions and negative emotions in the frequency domain through PSD (Power Spectrum Density). Based on James R. Russell's two-dimensional prototype model, we classify emotions as joy, sadness, irritability, and calmness and examine their association with the magnitude of energy in the frequency domain. It is significant that this study used the same PPG sensor used in wearable devices to measure the top four kinds of emotions in the frequency domain through image experiments. Through the questionnaire, the accuracy, the immersion level according to the individual, the emotional change, and the biofeedback for the image were collected. The proposed method is expected to be various development such as commercial application service using PPG and mobile application prediction service by merging with context information of existing smart phone.


Supported by : 한국연구재단


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