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Generating dance verbs and assisting computer choreography
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Source International Multimedia Conference archive
Proceedings of the 13th annual ACM international conference on Multimedia table of contents
Hilton, Singapore
SESSION: Interactive arts 2: performance, play, and appreciation table of contents
Pages: 774 - 782  
Year of Publication: 2005
ISBN:1-59593-044-2
Authors
Chi-Min Hsieh  ACROE-ICA INPG, Cedex, FRANCE
Annie Luciani  ACROE-ICA INPG, Cedex, FRANCE
Sponsors
ACM: Association for Computing Machinery
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
Publisher
ACM  New York, NY, USA
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ABSTRACT

As quoted in the philosophy of contemporary dance: <<Understanding the directions for a Free Dance performer stems mainly from the qualities and energy of the movement rather from spatial criteria>>, a lot of emphasis is put currently on generating computing dance movement by dynamic and energy, which is totally different from producing movement by kinematical based gestures in sequence. We argue that it is an ideal interactive media to connect computer and choreographer.In this paper, we present a set of dynamic models according to dance verbs: "to rebound", "to jump", "to flip", "to wave", etc, served by physically based particle modeling based on Newton's law. Among them, user has a high-level motion control to modify the quality of such dynamically generated movement, for example, light/strong, free/bound, sudden/sustained, etc. These dynamic models are hence well suited to produce spontaneous motion that looks natural and plausible. To sum up, we propose a methodology, focusing on the birth, the growth and the death of cause, which include mystic anticipation, inner propagation and virtual momentum exchange. Our methodology exhibits energetic succession and connects well the dance, physics and computer. It is convincingly a well-suited direction for computer-aided choreography.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
Chi-Min Hsieh: colleagues
Annie Luciani: colleagues