Analysis of Expressive Gesture: The EyesWeb Expressive Gesture Processing Library

  • Antonio Camurri
  • Barbara Mazzarino
  • Gualtiero Volpe
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2915)


This paper presents some results of a research work concerning algorithms and computational models for real-time analysis of expressive gesture in full-body human movement. As a main concrete result of our research work, we present a collection of algorithms and related software modules for the EyesWeb open architecture (freely available from These software modules, collected in the EyesWeb Expressive Gesture Processing Library, have been used in real scenarios and applications, mainly in the fields of performing arts, therapy and rehabilitation, museum interactive installations, and other immersive augmented reality and cooperative virtual environment applications. The work has been carried out at DIST – InfoMus Lab in the framework of the EU IST Project MEGA (Multisensory Expressive Gesture Applications, ).


Motion Phase Mixed Reality Occupation Rate Contraction Index Dance Performance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Camurri, A., Mazzarino, B., Ricchetti, M., Timmers, R., Volpe, G.: Multimodal analysis of expressive gesture in music and dance performances. In: Camurri, A., Volpe, G. (eds.) GW 2003. LNCS (LNAI), vol. 2915, pp. 20–39. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  2. 2.
    Camurri, A., De Poli, G., Leman, M.: MEGASE - A Multisensory Expressive Gesture Applications System Environment for Artistic Performances. In: Proc. Intl. Conf. CAST 2001, GMD, St Augustin-Bonn, pp. 59–62 (2001)Google Scholar
  3. 3.
    Camurri, A., Coglio, A.: An Architecture for Emotional Agents. IEEE MULTIMEDIA 5(4), 24–33 (1998)CrossRefGoogle Scholar
  4. 4.
    Camurri, A., Ferrentino, P.: Interactive Environments for Music and Multimedia. ACM MULTIMEDIA SYSTEMS 7, 32–47 (1999); Special issue on Audio and Multimedia, ACM-Springer (January 1999)CrossRefGoogle Scholar
  5. 5.
    Lucas, B., Kanade, T.: An iterative image registration technique with an application to stereo vision. In: Proceedings of the International Joint Conference on Artificial Intelligence (1981)Google Scholar
  6. 6.
    Liu, Y., Collins, R., Tsin, Y.: Gait Sequence Analysis using Frieze Patterns. In: European Conference on Computer Vision, Copenhagen, pp. 657–671 (May 2002)Google Scholar
  7. 7.
    Bobick, A.F., Davis, J.: The Recognition of Human Movement Using Temporal Templates. IEEE Transactions on Pattern Analysis and Machine Intelligence 23(3), 257–267 (2001)CrossRefGoogle Scholar
  8. 8.
    Kilian, J.: Simple Image Analysis by Moments. OpenCV library documentation (2001)Google Scholar
  9. 9.
    Boone, R.T., Cunningham, J.G.: Children’s decoding of emotion in expressive body movement: The development of cue attunement. Developmental Psychology 34, 1007–1016 (1998)CrossRefGoogle Scholar
  10. 10.
    Laban, R., Lawrence, F.C.: Effort. Macdonald & Evans Ltd., London (1947)Google Scholar
  11. 11.
    Laban, R.: Modern Educational Dance. Macdonald & Evans Ltd., London (1963)Google Scholar
  12. 12.
    Camurri, A., Lagerlöf, I., Volpe, G.: Recognizing Emotion from Dance Movement: Comparison of Spectator Recognition and Automated Techniques. International Journal of Human-Computer Studies. Elsevier Science (in press)Google Scholar
  13. 13.
    Camurri, A., Mazzarino, B., Trocca, R., Volpe, G.: Real-Time Analysis of Expressive Cues in Human Movement. In: Proc. Intl. Conf. CAST 2001, GMD, St Augustin-Bonn, pp. 63–68 (2001)Google Scholar
  14. 14.
    Camurri, A., Mazzarino, B., Volpe, G., Morasso, P., Priano, F., Re, C.: Application of multimedia techniques in the physical rehabilitation of Parkinson’s patients. Journal of Visualization and Computer Animation (in press)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Antonio Camurri
    • 1
  • Barbara Mazzarino
    • 1
  • Gualtiero Volpe
    • 1
  1. 1.InfoMus LabDIST – University of GenovaGenovaItaly

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