Interactive systems design: A kansei-based approach1

Proceedings of the International Conference on New Interfaces for Musical Expression

Volumn , Issue , 2002, Pages

  Camurri, Antonio ^a   Trocca, Riccardo ^a   Volpe, Gualtiero ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL ALGORITHM; COMPUTATIONAL MODELLING; EXPRESSIVE GESTURES; FULL BODY; HUMAN MOVEMENTS; INTERACTIVE SYSTEM; MODEL AND ALGORITHMS; REAL TIME ANALYSIS; REAL- TIME; RECENT RESEARCHES;

EID: 85160316040     PISSN: 22204792     EISSN: 22204806     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. Argyle M, Bodily Communication, Methuen&Co Ltd, London, 1980.
2. Battier M. and Wanderley M. (2000). Trends in Gestural Control of Music. Ircam Publ (CDROM)
3. Camurri A., De Poli G., Leman M., and Volpe G., A multi-layered conceptual framework for expressive gesture applications, in Proc. Workshop on Current Research Directions in Computer Music, Barcelona, November 2001.
4. Camurri A., Coletta P., Peri M., Ricchetti M., Ricci A., Trocca R., Volpe G., A real-time platform for interactive dance and music systems, in Proc. Intl. Conf. ICMC2000, Berlin, 2000.
5. A.Camurri, R.Trocca (2000). Movement and gesture in intelligent interactive music systems. In Battier and Wanderley (Eds.). Trends in Gestural Control of Music. Ircam Publ.
6. Camurri, A., Mazzarino, B., Trocca, R., Volpe, G. (2001). Real-Time Analysis of Expressive Cues in Human Movement. Proc. CAST01, GMD, St.Augustin-Bonn, Sept 2001.
7. Cowie R., Douglas-Cowie E., Tsapatsoulis N., Votsis G., Kollias S., Fellenz W. and Taylor J., Emotion Recognition in Human-Computer Interaction, IEEE Signal Processing Magazine, no. 1, January 2001.
8. Fels S., Mase K. 1999. Iamascope: A Graphical Musical Instrument. Computers and Graphics, 23(2), 277-286, Elsevier.
9. Hashimoto S. (1997) KANSEI as the Third Target of Information Processing and Related Topics in Japan, in Camurri A. (Ed.) “Proceedings of the International Workshop on KANSEI: The technology of emotion”, AIMI (Italian Computer Music Association) and DIST-University of Genova, pp101-104
10. Hu, M.K. Visual pattern recognition by moment invariants. IRE Trans. Information Theory, vol. IT-8, pp. 179—187, Feb. 1962.
11. Johansson G (1973) Visual perception of biological motion and a model for its analysis. Perception & Psychophysics, 14, 201-211.
12. Johnson-Laird P. M., Mental models and probabilistic thinking. Cognition, 50, 1994.
13. Laban R., Lawrence F.C., Effort, Macdonald&Evans Ltd. London, 1947.
14. Laban R., Modern Educational Dance, Macdonald & Evans Ltd. London, 1963. LeDoux J.E., The Emotional Brain, New York: Simon & Schuster, 1996.
15. Machover, T., J.Chung. 1989. Hyperinstruments: Musically intelligent and interactive performance and creativity systems. Proc. ICMC1989. San Francisco: ICMA, pp.186-190.
16. Rowe, R. 1993. Interactive Music Systems. MIT Press.
17. Rowe, R. 2001. Machine Musichianship. MIT Press.
18. Schaeffer, P., Traité des Objets Musicaux. Second Edition. Paris. Editions du Seuil, 1977.
19. Suzuki K., Hashimoto S., Modeling of Emotional Sound Space Using Neural Networks, in Camurri, A. (Ed.) Proc. Intl Workshop on KANSEI: The technology of emotion, AIMI and DIST-University of Genova, Genova, 1997, pp 116-121.
20. Wallbott H.G., The measurement of Human Expressions, in Walbunga von Rallfer-Engel, “Aspects of communications”, pp. 203-228, 1980.
21. Winkler, T. 1998. “Composing Interactive Music.” MIT Press, Cambridge, MA.
22. Open Computer Vision Library, Reference Manual. Available at: http://www.intel.com/research/mrl/research/opencv/and http://sourceforge.net/projects/opencvlibrary/