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Volumn , Issue , 2010, Pages 1203-1206

Recognizing affect from non-stylized body motion using shape of Gaussian descriptors

Author keywords

affective computing; computer applications; emotion recognition; motion analysis

Indexed keywords

AFFECTIVE COMPUTING; BODY MOTIONS; DESCRIPTORS; EMOTION RECOGNITION; EXISTING METHOD; FEATURE DESCRIPTORS; FEATURE REPRESENTATION; GAUSSIANS; HUMAN BODY MOTION; MOTION ANALYSIS; MOTION CAPTURE DATA; SIGNAL PROBABILITY; STATE-OF-THE-ART PERFORMANCE;

EID: 77954756317     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1774088.1774341     Document Type: Conference Paper
Times cited : (12)

References (14)
  • 5
    • 61549119152 scopus 로고    scopus 로고
    • Automatic temporal segment detection and affect recognition from face and body display
    • H. Gunes and M. Piccardi. Automatic temporal segment detection and affect recognition from face and body display. IEEE Transaction on System, Man and Cybernetics, 39(1):64-84, 2009.
    • (2009) IEEE Transaction on System, Man and Cybernetics , vol.39 , Issue.1 , pp. 64-84
    • Gunes, H.1    Piccardi, M.2
  • 7
    • 33746777912 scopus 로고    scopus 로고
    • A motion capture library for the study of identity, gender, and emotion perception from biological motion
    • Y. Ma, H. M. Paterson, and F. E. Pollick. A motion capture library for the study of identity, gender, and emotion perception from biological motion. Behavior Research Methods, 38(1):134-141, 2006.
    • (2006) Behavior Research Methods , vol.38 , Issue.1 , pp. 134-141
    • Ma, Y.1    Paterson, H.M.2    Pollick, F.E.3
  • 9


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.