• DocumentCode
    2120990
  • Title

    Technique for automatic emotion recognition by body gesture analysis

  • Author

    Glowinski, Donald ; Camurri, Antonio ; Volpe, Gualtiero ; Dael, Nele ; Scherer, Klaus

  • Author_Institution
    InfoMus Lab.-Casa Paganini, Genoa Univ., Genoa
  • fYear
    2008
  • fDate
    23-28 June 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper illustrates our recent work on the analysis of expressive gesture related to the motion of the upper body (the head and the hands) in the context of emotional portrayals performed by professional actors. An experiment is presented which is the result of a multidisciplinary joint work. The experiment aims at (i) developing models and algorithms for analysis of such expressive content (ii) individuating which motion cues are involved in conveying the actorpsilas expressive intentions to portray four emotions (anger, joy, relief, sadness) via a scenario approach. The paper discusses the experiment in detail with reference to related conceptual issues, developed techniques, and the obtained results.
  • Keywords
    emotion recognition; automatic emotion recognition; body gesture analysis; emotional portrayals; professional actors; Algorithm design and analysis; Auditory displays; Computer science; Data mining; Emotion recognition; Humans; Information analysis; Motion analysis; Performance analysis; Psychology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    2160-7508
  • Print_ISBN
    978-1-4244-2339-2
  • Electronic_ISBN
    2160-7508
  • Type

    conf

  • DOI
    10.1109/CVPRW.2008.4563173
  • Filename
    4563173