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Volumn 1, Issue , 2009, Pages 655-659

Towards an emotion recognition system based on biometrics

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; ELECTROCARDIOGRAPHY; SPEECH RECOGNITION;

EID: 70649100071     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSO.2009.497     Document Type: Conference Paper
Times cited : (3)

References (6)
  • 1
    • 0034346176 scopus 로고    scopus 로고
    • Emotion Recognizing in Speech Using Neural Networks
    • December
    • J. Nicolson, K. Takahashi, and R Nakatsu, "Emotion Recognizing in Speech Using Neural Networks", Neural Computing and Applications, Vol. 9, No.4, pp.290-296, December 2000
    • (2000) Neural Computing and Applications , vol.9 , Issue.4 , pp. 290-296
    • Nicolson, J.1    Takahashi, K.2    Nakatsu, R.3
  • 2
    • 20444486667 scopus 로고    scopus 로고
    • Comparison of Emotion Recognition Methods from Bio-Potential Signals
    • K. Takahashi, "Comparison of Emotion Recognition Methods from Bio-Potential Signals", The Japanese Journal ofErgonomics, Vol. 40, No.2, pp.90-98, 2004
    • (2004) The Japanese Journal ofErgonomics , vol.40 , Issue.2 , pp. 90-98
    • Takahashi, K.1
  • 3
    • 0035481502 scopus 로고    scopus 로고
    • Toward Machine Emotional Intelligence: Analysis of Affective Physiological State
    • R Picard, E. Vyzaz and J, Healey, "Toward Machine Emotional Intelligence: Analysis of Affective Physiological State", IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 23, no. 10, pp. 1175-1191,2001
    • (2001) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.23 , Issue.10 , pp. 1175-1191
    • Picard, R.1    Vyzaz, E.2    Healey, J.3
  • 4
    • 0026849990 scopus 로고
    • Autoassociative Neural Networks
    • M. A. Kramer, "Autoassociative Neural Networks", Computers and Chemical Engineering, vol. 16, no. 4, pp. 313-328, 1992
    • (1992) Computers and Chemical Engineering , vol.16 , Issue.4 , pp. 313-328
    • Kramer, M.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.