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Expressive Gesture

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Music and Artificial Intelligence (ICMAI 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2445))

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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

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References

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Author information

Authors and Affiliations

  1. DIST, University of Genova, Italy

    Antonio Camurri

Authors
  1. Antonio Camurri
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Editor information

Editors and Affiliations

  1. Faculty of Music, University of Edinburgh, 12 Nicolson Square, EH8 9DF, Edinburgh, UK

    Christina Anagnostopoulou  & Miguel Ferrand  & 

  2. Division of Informatics, University of Edinburgh, 80 South Bridge, EH1 1HN, Edinburgh, UK

    Alan Smaill

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© 2002 Springer-Verlag Berlin Heidelberg

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Camurri, A. (2002). Expressive Gesture. In: Anagnostopoulou, C., Ferrand, M., Smaill, A. (eds) Music and Artificial Intelligence. ICMAI 2002. Lecture Notes in Computer Science(), vol 2445. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45722-4_2

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  • DOI: https://doi.org/10.1007/3-540-45722-4_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44145-8

  • Online ISBN: 978-3-540-45722-0

  • eBook Packages: Springer Book Archive

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