Granular Dance

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Abstract

This publication presents a tool that can be trained with motion capture data and then used to generate new dance movement sequences. This tool combines two different components: a deep learning model based on a recurrent adversarial autoencoder architecture, and a sequence blending mechanism that is inspired by granular and concatenative sound synthesis techniques. The publication contextualizes this tool with respect to other artificial intelligence inspired approaches in dance. Subsequently, the implementation of the tool is detailed and results from its usage are presented. These results are discussed in terms of their artistic potential. Finally, the publication provides a brief outlook into possible future research directions.
Original languageEnglish
Title of host publicationProceedings of the 9th Conference on Computation, Communication, Aesthetics & X
EditorsMiguel Carvalhais, Mario Verdicchio, Luísa Ribas, André Rangel
Place of PublicationPortugal
Publisheri2ADS
Pages176-195
Number of pages20
ISBN (Print)978-989-9049-06-2
Publication statusPublished - 12 Jul 2021
EventNinth Conference on Computation, Communication, Aesthetics & X - Online
Duration: 12 Jul 202116 Jul 2021
Conference number: 9
https://www.designresearchsociety.org/events/9th-conference-on-computation-communication-aesthetics-x-online-event

Publication series

NameProceedings of xCoAx International conference on Computation, Communication, Aesthetics & X
ISSN (Print)2183-9069

Conference

ConferenceNinth Conference on Computation, Communication, Aesthetics & X
Abbreviated titlexCoAx
Period12/07/2116/07/21
Internet address

Keywords

  • Generative Art
  • Dance
  • Artificial Intelligence
  • Machine Learning
  • Granular Synthesis
  • Concatenative Synthesis

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    Bisig, D., Wegner, E. & Kimmig, H., 12 Jul 2021, Proceedings of the 9th Conference on Computation, Communication, Aesthetics & X. Carvalhais, M., Verdicchio, M., Ribas, L. & Rangel, A. (eds.). Portugal: i2ADS, p. 546-553 8 p. (Proceedings of xCoAx International conference on Computation, Communication, Aesthetics & X).

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

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