Skip to main content

Task Modelling for Reconstruction and Analysis of Folk Dances

  • Chapter
  • First Online:
Dance Notations and Robot Motion

Part of the book series: Springer Tracts in Advanced Robotics ((STAR,volume 111))

Abstract

Intangible cultural assets such as folk dances and native languages have been disappearing day-by-day. It is important to develop new methods to preserve such assets. Toward this goal, this paper focuses on how to preserve folk dances as performances by humanoid robots. This new method provides not only preservation of such folk dances, but also understanding of dance structures. We demonstrate this preservation method on a humanoid by using Japanese and Taiwanese folk dances. We also explain how such demonstrations provide new insights to folk dance, which leads to interdisciplinary studies of Taiwanese folk dances.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. K. Ikeuchi, D. Miyazaki, Digitally Archiving Cultural Objects (Springer, New York, 2008)

    Book  Google Scholar 

  2. K. Ikeuchi, Digital Restoration of Kyuushu Decorated Tumuli (Tokyo Shoseki, Tokyo, Japan, 2015). (in Japanese)

    Google Scholar 

  3. M. Riley, A. Ude, C.G. Atkeson, Methods for motion generation and interaction with a humanoid robot. in AAAI and CMU workshop on Interactive Robotics and Entertainment (2000)

    Google Scholar 

  4. N.S. Pollard, J.K. Hodgins, M.J. Riley, C.G. Atkinson, Adapting human motion for the control of a humanoid robot, in ICRA02 (2002)

    Google Scholar 

  5. Y. Tamiya, M. Inaba, H. Inoue, Realtime balance compensation for dynamic motion of full-body humanoid standing on one leg. J. Robot. Soc. Japan 17(2):268–274 (1999). (Japanese)

    Google Scholar 

  6. S. Kagami, F. Kanehiro, Y. Tamiya, M. Inaba, H. Inoue, Auto-balancer: an online dynamic balance compensation scheme for humanoid robots, in The Fourth International Workshop on Algorithmic Foundation of Robotics (2000)

    Google Scholar 

  7. K. Yamane, Y. Nakamura, Dynamics filter—concept and implementation of on-line motion generator for human figures. IEEE Trans. Robot. Autom. 19(3), 421–432 (2003)

    Article  Google Scholar 

  8. Y. Kuroki, M. Fujita, T. Ishida, K. Nagasaka, J. Yamaguchi, A small biped entertainment robot exploring attractive applications, in ICRA2003 (2003), pp. 471–476

    Google Scholar 

  9. S. Nakaoka, A. Nakazawa, K. Ikeuchi, An efficient method for composing whole body motions of a humanoid robot, in VSMM2004 (2004), pp. 1142–1152

    Google Scholar 

  10. G. Cheng, S.H. Hyon, A. Ude, J. Morimoto, J. Hale, M. Kawato, CB: exploring neuroscience with a humanoid research platform, in ICRA2008 (2008), pp. 1772–1773

    Google Scholar 

  11. K. Kosuge, T. Hayashi, Y. Hirata, R. Tobiyama, Dance partner robot-ms dancer, in IROS2003, vol. 4 (2003), pp. 3459–3464

    Google Scholar 

  12. K. Yoshii, K. Nakadai, Y. Hasegawa, H. Tsujino, K. Komatani, H.G. Okuno. A biped robot that keeps steps in time with musical beats while listening to music with own ears, in IROS (2007), pp. 1743–1750

    Google Scholar 

  13. K. Ikeuchi, T. Suehiro, Toward an assembly plan from observation i: task recognition with polyhedral objects. IEEE Trans. Robot. Autom. 10(3), 368–385 (1994)

    Article  Google Scholar 

  14. J. Takamatsu, T. Morita, K. Ogawara, H. Kimura, K. Ikeuchi, Representation for knot-tying tasks. IEEE Trans. Robot. 22(1), 65–78 (2006)

    Article  Google Scholar 

  15. K. Ogawara, J. Takamatsu, H. Kimura, K. Ikeuchi, Extraction of essential interactions through multiple observations of human demonstration. IEEE Trans. Ind. Electron. 50(4), 667–675 (2003)

    Article  Google Scholar 

  16. S. Nakaoka, A. Nakazawa, F. Kanehiro, K. Kaneko, M. Morisawa, H. Hirukawa, K. Ikeuchi, Learning from observation paradigm: leg task models for enabling a biped humanoid robot to imitate human dances. Int. J. Robot. Res. 26(8), 829–844 (2007)

    Article  Google Scholar 

  17. T. Shiratori, A. Nakazawa, K. Ikeuchi, Synthesizing dance performance using musical and motion features, in ICRA2006 (2006), pp. 3654–3659

    Google Scholar 

  18. T. Okamoto, T. Shiratori, S. Kudoh, S. Nakaoka, K. Ikeuchi, Toward a dancing robot with listening capability: keypose-based integration of lower, middle, upper body motions for varying music tempos. IEEE Trans. Robot. 30(3), 771–778 (2014)

    Article  Google Scholar 

  19. H. Hu, R. Tseng, C. Lin, L. Ming, K. Ikeuchi, Analysing Taiwanese indigenous folk dances via labanotation and comparing results with interdisciplinary studies, in Cultural Heritage Documentation, Preservation, and Protection (Springer, New York, 2014), pp. 196–206

    Google Scholar 

  20. A. Tajima, S.S. Shun, I. Pan, T. Ishida, N. Saitou, S. Horai, Mitochondrial DNA polymorphism in nine aboriginal groups of Taiwan. Hum. Genet. 113(1), 24–33 (2003)

    Google Scholar 

  21. J.A. Trejaut, T. Kivisild, J.H. Loo, C.L. Lee, C.L. He, C.J. Hsu, Z.Y. Li, M. Lin, Traces of archaic mitochondrial lineages persist in Austronesian-speaking Formosan populations. PLoS Biol. 3(8):247 (2005)

    Google Scholar 

  22. P. Li, The internal relationships of Formosan languages (2006), pp. 17–20

    Google Scholar 

  23. T. Okamoto, T. Shiratori, M. Glisson, K. Yamane, S. Kudoh, K. Ikeuchi, Extraction of person-specific style based on a task model and imitation by humanoid robot, in IROS2014 (2014), pp. 1347–1354

    Google Scholar 

Download references

Acknowledgements

This work is, in part, supported by Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research under Science Research A 23240026.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Katsushi Ikeuchi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Ikeuchi, K., Sato, Y., Nakaoka, S., Kudoh, S., Okamoto, T., Hu, H. (2016). Task Modelling for Reconstruction and Analysis of Folk Dances. In: Laumond, JP., Abe, N. (eds) Dance Notations and Robot Motion. Springer Tracts in Advanced Robotics, vol 111. Springer, Cham. https://doi.org/10.1007/978-3-319-25739-6_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-25739-6_9

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25737-2

  • Online ISBN: 978-3-319-25739-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics