• DocumentCode
    2773371
  • Title

    Innovative technologies for the creative industries: Advanced human-machine interfaces for dynamic performance effects

  • Author

    Sarrafzadeh, Abdolhossein ; Shanbehzadeh, Jamshid ; Messom, Chris ; Johnson, Martin

  • Author_Institution
    Massey Unv., Auckland
  • fYear
    2007
  • fDate
    18-20 Nov. 2007
  • Firstpage
    223
  • Lastpage
    227
  • Abstract
    Technical advances in performing arts and TV production have focused on technologies like sound, special effects, projection and the like. New developments in computer vision have made gesture and facial expression recognition possible. What is missing is the means to link these new technologies and place them under direct control of the performer. Furthermore, performers have limited capacity to interpret and respond to their audience. This research aims to develop new gesture and facial expression recognition technologies to make possible completely new forms of performance that enable performers to directly influence the physical environment and respond to audience reaction. In this article, we focus on a gesture recognition system developed for this purpose and present a novel approach for gesture recognition. We discuss the gesture modelling technique used and its main features. Experiments show accuracy of over 98.71% making the gesture recognizer suitable for our innovative stage interface.
  • Keywords
    face recognition; gesture recognition; user interfaces; advanced human-machine interfaces; computer vision; facial expression recognition; gesture recognition system; Art; Computer interfaces; Computer vision; Control systems; Emotion recognition; Face recognition; Humans; Man machine systems; Production; TV;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Information Technology, 2007. IIT '07. 4th International Conference on
  • Conference_Location
    Dubai
  • Print_ISBN
    978-1-4244-1840-4
  • Electronic_ISBN
    978-1-4244-1841-1
  • Type

    conf

  • DOI
    10.1109/IIT.2007.4430407
  • Filename
    4430407