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Synthesis of variable dancing styles based on a compact spatiotemporal representation of dance

Joao Lobato Oliveira, Luiz Alberto Naveda UGent, Fabien Gouyon, Marc Leman UGent and Luis Paulo Reis (2010) Robots and Musical Expressions Workshop, Papers.
abstract
Dance as a complex expressive form of motion is able to convey emotion, meaning and social idiosyncrasies that opens channels for non-verbal communication, and promotes rich cross-modal interactions with music and the environment. As such, realistic dancing characters may incorporate crossmodal information and variability of the dance forms through compact representations that may describe the movement structure in terms of its spatial and temporal organization. In this paper, we propose a novel method for synthesizing beatsynchronous dancing motions based on a compact topological model of dance styles, previously captured with a motion capture system. The model was based on the Topological Gesture Analysis (TGA) which conveys a discrete three-dimensional point-cloud representation of the dance, by describing the spatiotemporal variability of its gestural trajectories into uniform spherical distributions, according to classes of the musical meter. The methodology for synthesizing the modeled dance traces back the topological representations, constrained with definable metrical and spatial parameters, into complete dance instances whose variability is controlled by stochastic processes that considers both TGA distributions and the kinematic constraints of the body morphology. In order to assess the relevance and flexibility of each parameter into feasibly reproducing the style of the captured dance, we correlated both captured and synthesized trajectories of samba dancing sequences in relation to the level of compression of the used model, and report on a subjective evaluation over a set of six tests. The achieved results validated our approach, suggesting that a periodic dancing style, and its musical synchrony, can be feasibly reproduced from a suitably parametrized discrete spatiotemporal representation of the gestural motion trajectories, with a notable degree of compression.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
in
Robots and Musical Expressions Workshop, Papers
pages
8 pages
conference name
Robots and Musical Expressions Workshop (IWRME 2010), at the 2010 IEEE/RSJ International conference on Intelligent Robots and Systems (IROS 2010)
conference location
Taipei, Taiwan
conference start
2010-10-18
conference end
2010-10-22
language
English
UGent publication?
yes
classification
C1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1070612
handle
http://hdl.handle.net/1854/LU-1070612
date created
2010-11-05 10:36:03
date last changed
2011-02-03 09:31:51
@inproceedings{1070612,
  abstract     = {Dance as a complex expressive form of motion is able to convey emotion, meaning and social idiosyncrasies that opens channels for non-verbal communication, and promotes rich cross-modal interactions with music and the environment. As such, realistic dancing characters may incorporate crossmodal information and variability of the dance forms through compact representations that may describe the movement structure in terms of its spatial and temporal organization. In this paper, we propose a novel method for synthesizing beatsynchronous dancing motions based on a compact topological model of dance styles, previously captured with a motion capture system. The model was based on the Topological Gesture Analysis (TGA) which conveys a discrete three-dimensional point-cloud representation of the dance, by describing the spatiotemporal variability of its gestural trajectories into uniform spherical distributions, according to classes of the musical meter. The methodology for synthesizing the modeled dance traces back the topological representations, constrained with definable metrical and spatial parameters, into complete dance instances whose variability is controlled by stochastic processes that considers both TGA distributions and the kinematic constraints of the body morphology. In order to assess the relevance and flexibility of each parameter into feasibly reproducing the style of the captured dance, we correlated both captured and synthesized trajectories of samba dancing sequences in relation to the level of compression of the used model, and report on a subjective evaluation over a set of six tests. The achieved results validated our approach, suggesting that a periodic dancing style, and its musical synchrony, can be feasibly reproduced from a suitably parametrized discrete spatiotemporal representation of the gestural motion trajectories, with a notable degree of compression.},
  author       = {Oliveira, Joao Lobato and Naveda, Luiz Alberto and Gouyon, Fabien and Leman, Marc and Reis, Luis Paulo},
  booktitle    = {Robots and Musical Expressions Workshop, Papers},
  language     = {eng},
  location     = {Taipei, Taiwan},
  pages        = {8},
  title        = {Synthesis of variable dancing styles based on a compact spatiotemporal representation of dance},
  year         = {2010},
}

Chicago
Oliveira, Joao Lobato, Luiz Alberto Naveda, Fabien Gouyon, Marc Leman, and Luis Paulo Reis. 2010. “Synthesis of Variable Dancing Styles Based on a Compact Spatiotemporal Representation of Dance.” In Robots and Musical Expressions Workshop, Papers.
APA
Oliveira, Joao Lobato, Naveda, L. A., Gouyon, F., Leman, M., & Reis, L. P. (2010). Synthesis of variable dancing styles based on a compact spatiotemporal representation of dance. Robots and Musical Expressions Workshop, Papers. Presented at the Robots and Musical Expressions Workshop (IWRME 2010), at the 2010 IEEE/RSJ International conference on Intelligent Robots and Systems (IROS 2010).
Vancouver
1.
Oliveira JL, Naveda LA, Gouyon F, Leman M, Reis LP. Synthesis of variable dancing styles based on a compact spatiotemporal representation of dance. Robots and Musical Expressions Workshop, Papers. 2010.
MLA
Oliveira, Joao Lobato, Luiz Alberto Naveda, Fabien Gouyon, et al. “Synthesis of Variable Dancing Styles Based on a Compact Spatiotemporal Representation of Dance.” Robots and Musical Expressions Workshop, Papers. 2010. Print.