GENERATING STYLIZED DANCE MOTION FROM LABANOTATION BY USING AN AUTONOMOUS DANCE AVATAR

Worawat Choensawat, Kozaburo Hachimura

Abstract

When producing the animation of a body motion from the dance notation, the dance knowledge is a key for accomplishing high-quality movement. This knowledge enables the dancer to know how to perform the correct movement from a movement notation score. This paper presents an approach for automatically simulating a CG animation from Labanotation scores. We achieve this goal by the integration of a CG animation with a dance-style interpretation module and it is called an autonomous dance avatar. In our experiment, we implemented an autonomous dance avatar to perform a Japanese stylized traditional dance such as Noh-Plays. The result shows that the autonomous dance avatar can reproduce Noh-Play correctly from Labanotation after it has been trained with the Noh-Play knowledge.

References

  1. Adán-Coello, J., Tobar, C., de Freitas, R., and Marin, A. (2007). Hopfilter: an agent for filtering web pages based on the hopfield artificial neural network model. Data Management. Data, Data Everywhere, pages 164-167.
  2. Agrawal, R. and Srikant, R. (1994). Fast algorithms for mining association rules in large databases. In 20th International Conference on Very Large Data Bases, pages 478-499. Morgan Kaufmann, Los Altos, CA.
  3. Cenek, E. and Stewart, L. (2003). Maximum independent set and maximum clique algorithms for overlap graphs. Discrete Applied Mathematics, 131(1):77-91.
  4. Chen, H., Lally, A., Zhu, B., and Chau, M. (2003). Helpfulmed: intelligent searching for medical information over the internet. Journal of the American Society for Information Science and Technology, 54(7):683-694.
  5. Chen, H., Lynch, K., Basu, K., and Ng, T. (1993). Generating, integrating, and activating thesauri for conceptbased document retrieval. IEEE Expert, 8(2):25-34.
  6. Choensawat, W., Takahashi, S., Nakamura, M., Choi, W., and Hachimura, K. (2010). Description and reproduction of stylized traditional dance body motion by using labanotation. Transactions of the Virtual Reality Society of Japan, 15(3):379 - 388.
  7. Coyle, M., Maranan, D., and Calvert, T. (2002). A tool for translating dance notation to animation. In Proceedings of Western Computer Graphics Symposium.
  8. Fox, I. (2000). Documentation technology for the 21st century. Proceedings of World Dance, pages 136-142.
  9. Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., and Witten, I. (2009). The WEKA data mining software: An update. ACM SIGKDD Explorations Newsletter, 11(1):10-18.
  10. Haykin, S. (1998). Neural Networks: A Comprehensive Foundation. Pearson Education.
  11. Hutchinson Guest, A. (1977). Labanotation. New York: Routledge, Chapman y Hall.
  12. Kojima, K., Hachimura, K., and Nakamura, M. (2002). Labaneditor: Graphical editor for dance notation. In Robot and Human Interactive Communication, 2002. Proceedings. 11th IEEE International Workshop on, pages 59-64. IEEE.
  13. Liu, B., Hsu, W., and Ma, Y. (1998). Integrating classification and association rule mining. In Fourth International Conference on Knowledge Discovery and Data Mining, pages 80-86. AAAI Press.
  14. Lu, W., Lin, R., Chan, Y., and Chen, K. (2008). Using web resources to construct multilingual medical thesaurus for cross-language medical information retrieval. Decision Support Systems, 45(3):585-595.
  15. Mairal, J., Bach, F., and Ponce, J. (2010). Task-driven dictionary learning. Pattern Analysis and Machine Intelligence, IEEE Transactions on, pages 1-1.
  16. Wilke, L., Calvert, T., Ryman, R., and Fox, I. (2005). From dance notation to human animation: The labandancer project. Computer Animation and Virtual Worlds, 16(3-4):201-211.
  17. Witten, I., Frank, E., and Hall, M. (2011). Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann.
  18. Zhang, B. (2008). Hypernetworks: A molecular evolutionary architecture for cognitive learning and memory. Computational Intelligence Magazine, IEEE, 3(3):49-63.
  19. Zhang, B. and Kim, J. (2006). Dna hypernetworks for information storage and retrieval. DNA computing, pages 298-307.
  20. Zhang, S., Li, Q., Yu, T., Shen, X., Geng, W., and Wang, P. (2006). Implementation of a notation-based motion choreography system. Interactive Technologies and Sociotechnical Systems, pages 495-503.
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Paper Citation


in Harvard Style

Choensawat W. and Hachimura K. (2012). GENERATING STYLIZED DANCE MOTION FROM LABANOTATION BY USING AN AUTONOMOUS DANCE AVATAR . In Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: SIMIE, (VISIGRAPP 2012) ISBN 978-989-8565-02-0, pages 535-542. DOI: 10.5220/0003946305350542


in Bibtex Style

@conference{simie12,
author={Worawat Choensawat and Kozaburo Hachimura},
title={GENERATING STYLIZED DANCE MOTION FROM LABANOTATION BY USING AN AUTONOMOUS DANCE AVATAR},
booktitle={Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: SIMIE, (VISIGRAPP 2012)},
year={2012},
pages={535-542},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003946305350542},
isbn={978-989-8565-02-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: SIMIE, (VISIGRAPP 2012)
TI - GENERATING STYLIZED DANCE MOTION FROM LABANOTATION BY USING AN AUTONOMOUS DANCE AVATAR
SN - 978-989-8565-02-0
AU - Choensawat W.
AU - Hachimura K.
PY - 2012
SP - 535
EP - 542
DO - 10.5220/0003946305350542