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Volumn , Issue , 2011, Pages 614-618

Research on genetic algorithm based on emotion recognition using physiological signals

Author keywords

emotion recognition; feature selection; physiological signals

Indexed keywords

AFFECTIVE STATE; CLASSIFICATION PERFORMANCE; ELECTROMYOGRAM; EMOTION RECOGNITION; EMOTIONAL REACTIONS; FEATURE SETS; FOUR-CHANNEL; INDUCTION METHOD; MODE OPTIMIZATION; NUMERICAL RESULTS; PATTERN RECOGNITION PROBLEMS; PHYSIOLOGICAL SIGNALS; RAW SIGNALS;

EID: 84055217313     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCPS.2011.6092256     Document Type: Conference Paper
Times cited : (22)

References (7)
  • 4
    • 0035481502 scopus 로고    scopus 로고
    • Toward machine emotional intelligence: Analysis of affective physiological state
    • DOI 10.1109/34.954607
    • R. W. Picard, E. Vyzas, and J. Healey: Toward Machine Emotional Intelligence: Analysis of Affective Physiological State, IEEE Transactions Pattern Analysis and Machine Intelligence, Vol.23, No.10,pp.1175-1191, Oct. 2001 (Pubitemid 33047955)
    • (2001) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.23 , Issue.10 , pp. 1175-1191
    • Picard, R.W.1    Vyzas, E.2    Healey, J.3
  • 7
    • 33749572603 scopus 로고    scopus 로고
    • From physiological signals to emotions: Implementing and comparing selected methods for feature extraction and classification
    • C Kloster Irsee:[s.n.]
    • WAGNER J,KIM J,ANDRE E.From physiological signals to emotions: implementing and comparing selected methods for feature extraction and classification [C]//IEEE International Conference on Multimedia &Expo(ICME 2005). Kloster Irsee:[s.n.],2005:940-943.
    • (2005) IEEE International Conference on Multimedia &Expo(ICME 2005) , pp. 940-943
    • Wagner, J.1    Kim, J.2    Andre, E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.