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Generative Choreography: Animating in Real-Time Dancing Avatars

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Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7247)

Abstract

In this paper we introduce a novel approach to dance choreographies in virtual worlds. We present a dance performed by avatars in a virtual world, where a computational ecosystem provides a mechanism driving the actions and movements of the avatars. First, we discuss the background and motivations, and describe the performance. Then, we describe the technical aspects of the algorithm driving the choreographic movements. Finally we discuss its critical aspects and contextualize the work with regards to dance practice and evolutionary art history. In the process of this discussion, we emphasize the advantages of the AI model of computational ecosystems for the animation of non-player-characters.

Keywords

  • Virtual World
  • Active Message
  • Wild Card
  • Wide Movement
  • Dualistic Alternative

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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  • DOI: 10.1007/978-3-642-29142-5_1
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© 2012 Springer-Verlag Berlin Heidelberg

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Antunes, R.F., Leymarie, F.F. (2012). Generative Choreography: Animating in Real-Time Dancing Avatars. In: Machado, P., Romero, J., Carballal, A. (eds) Evolutionary and Biologically Inspired Music, Sound, Art and Design. EvoMUSART 2012. Lecture Notes in Computer Science, vol 7247. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29142-5_1

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  • DOI: https://doi.org/10.1007/978-3-642-29142-5_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29141-8

  • Online ISBN: 978-3-642-29142-5

  • eBook Packages: Computer ScienceComputer Science (R0)