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Volumn 3, Issue , 2004, Pages 1138-1143

Remarks on emotion recognition from multi-modal bio-potential signals

Author keywords

EEG; Emotion; Neural Network; Pulse; Skin Conductance; Support Vector Machine

Indexed keywords

COMPUTER SIMULATION; DISTRIBUTED COMPUTER SYSTEMS; ELECTROENCEPHALOGRAPHY; NEURAL NETWORKS; PHYSIOLOGICAL MODELS; SIGNAL PROCESSING; SKIN;

EID: 27944454203     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (62)

References (13)
  • 1
    • 0032594951 scopus 로고    scopus 로고
    • Support vector machines for histogram-based image classification
    • O. Chapelle, P. Haffner, and V. Vapnik. Support vector machines for histogram-based image classification. IEEE Transactions on Neural Networks, 10(5):1055-1064, 1999.
    • (1999) IEEE Transactions on Neural Networks , vol.10 , Issue.5 , pp. 1055-1064
    • Chapelle, O.1    Haffner, P.2    Vapnik, V.3
  • 6
    • 27944504859 scopus 로고
    • Brain-body actuated system, 12. United States Patent, 5474082
    • A. Junker. Brain-body actuated system, 12 1995. United States Patent, 5474082.
    • (1995)
    • Junker, A.1
  • 10
    • 0031650643 scopus 로고    scopus 로고
    • Use of multimodal information in facial emotion recognition
    • L. C. D. Silva, T. Miyasato, and R. Nakatsu. Use of multimodal information in facial emotion recognition. IEICE Transaction, E81-D(1):105-114, 1998.
    • (1998) IEICE Transaction , vol.E81-D , Issue.1 , pp. 105-114
    • Silva, L.C.D.1    Miyasato, T.2    Nakatsu, R.3
  • 11
    • 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 of Ergonomics, 40(2):90-98, 2004.
    • (2004) The Japanese Journal of Ergonomics , vol.40 , Issue.2 , pp. 90-98
    • Takahashi, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.