• DocumentCode
    341890
  • Title

    EyesWeb-toward gesture and affect recognition in dance/music interactive systems

  • Author

    Camurri, Antonio ; Ricchetti, Matteo ; Trocca, Riccardo

  • Author_Institution
    Lab. DIST di Inf. Musicale, Genova Univ., Italy
  • Volume
    1
  • fYear
    1999
  • fDate
    36342
  • Firstpage
    643
  • Abstract
    The EyesWeb project concerns the development of a system for real-time analysis of full-body movement and gesture of one or more humans, with a particular focus on affect or emotion content. Such information is used to control and generate sound, music, visual media, and to control actuators (e.g., robots). The main goal is to explore extensions of music language toward gesture and visual languages. The paper describes the state of the art of the project, the design of the current EyesWeb system modules (hardware and software), their experiments in public events, and discusses ongoing developments
  • Keywords
    actuators; gesture recognition; interactive systems; multimedia computing; music; real-time systems; EyesWeb; actuators; dance; emotion; experiments; full-body movement; gesture recognition; interactive systems; multimedia; music; real-time analysis; sound; visual languages; visual media; Actuators; Hardware; Humans; Intelligent robots; Interactive systems; Laboratories; Multiple signal classification; Music; Real time systems; Robot control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Computing and Systems, 1999. IEEE International Conference on
  • Conference_Location
    Florence
  • Print_ISBN
    0-7695-0253-9
  • Type

    conf

  • DOI
    10.1109/MMCS.1999.779275
  • Filename
    779275