10채널 뇌파를 이용한 감성평가 기술에 관한 연구

A Study on the Human Sensibility Evaluation Technique using 10-channel EEG

  • 김흥환 (청주대학교 정보통신공학부) ;
  • 이상한 (청주대학교 정보통신공학부) ;
  • 강동기 (청주대학교 정보통신공학부) ;
  • 김동준 (청주대학교 정보통신공학부) ;
  • 고한우 (한국표준과학연구원)
  • Kim, Heung-Hwan (School of Computer & Communication Eng., Chongju Univ.) ;
  • Lee, Sang-Han (School of Computer & Communication Eng., Chongju Univ.) ;
  • Kang, Dong-Kee (School of Computer & Communication Eng., Chongju Univ.) ;
  • Kim, Dong-Jun (School of Computer & Communication Eng., Chongju Univ.) ;
  • Ko, Han-Woo (Korea Research Institute of Standards and Sciences)
  • 발행 : 2002.07.10

초록

This paper describes a technique for human sensibility evaluation using 10-channel EEG(electroencephalogram). The proposed method uses the linear predictor coefficients as EEG feature parameters and a neural network as sensibility pattern classifier. For subject independent system, multiple templates are stored and the most similar template can be selected. EEG signals corresponding to 4 emotions such as, relaxation, joy, sadness and anger are collected from 5 armature performers. The states of relaxation and joy are considered as positive sensibility and those of sadness and anger as negative. The classification performance using the proposed method is about 72.6%. This will be promising performance in the human sensibility evaluation.

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