Expressive Gesture

  • Antonio Camurri
Conference paper

DOI: 10.1007/3-540-45722-4_2

Volume 2445 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Camurri A. (2002) Expressive Gesture. In: Anagnostopoulou C., Ferrand M., Smaill A. (eds) Music and Artificial Intelligence. Lecture Notes in Computer Science, vol 2445. Springer, Berlin, Heidelberg

Abstract

Gesture is the carrier of a set of temporal/spatial features responsible of conveying expressiveness.The concept of expressive gesture includes music, human movement, visual (e.g., computer animated) gesture components. Modelling and communication of expressive and emotional content in non-verbal interaction by multi-sensory interfaces is receiving a raising interest from research and industry communities.Music performance and full-body movements (e.g dance) are first class conveyors of expressiveness through gesture.Automatic analysis and syntesis of expressive gesture can open novel scenarios in the field of interactive multimedia, especially in artistic contexts, and represent at the same time an opportunity and a challenge for interactive music systems designers. The seminar will include aspects related to experiments, modelling, control and application of expressiveness in interactive music and new media performance.Sample audiovisual and real-time demonstrations will be presented to clarify main concepts.This research work is partially funded by the EU IST projects MEGA (Multisensory Expressive Gesture Applications, http://www.megaproject.org

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Antonio Camurri
    • 1
  1. 1.DISTUniversity of GenovaItaly