Dance motion generation by recombination of body parts from motion source

1. Nakahara N, Miyazaki K, Sakamoto H, Fujisawa TX, Nagata N, Nakatsu R (2009) Dance motion control of a humanoid robot based on real-time tempo tracking from musical audio signals. Entertain Comput ICEC 2009:36–47

   Google Scholar 

2. Grunberg D, Ellenberg R, Kim Y, Oh P (2009) Creating an autonomous dancing robot. In: Proceedings of the international conference on hybrid information technology (ICHIT), pp 221–227

3. Lee M, Lee K, Park J (2013) Music similarity-based approach to generating dance motion sequence. Multimed Tools Appl 62(3):895–912

   Article  Google Scholar 

4. Toiviainen P, Luck G, Thompson M (2009) Embodied metre: hierarchical eigenmodes in spontaneous movement to music. Cognitive Process 10(2):325–327

   Article  Google Scholar 

5. Bartsch MA, Wakefield GH (2001) To catch a chorus: using chroma-based representations for audio thumbnailing, 2001 IEEE workshop on the applications of signal processing to audio and acoustics, pp 15–18

6. Gray JM (1975) An exploration of musical timbre. PhD thesis, Department of Psychology, Stanford University, Stanford, CA, USA

7. Knight H, Simmons R (2016) Laban head-motions convey robot state: a call for robot body language. In: Proceedings of international conference on robotics and automation (ICRA), pp 2881–2888

8. Foote J (2000) Automatic audio segmentation using a measure of audio novelty. In: Proceedings IEEE international conference multimedia and expo (ICME2000), vol 1, pp 452–455

9. Foote J (1999) Visualizing music and audio using self-similarity. In: Proceedings ACM multimedia, pp 70–80

10. Kanungo T, Netanyahu NS, Wu AY (2002) An efficient k-means clustering algorithm:analysis and implementation. icassp(IEEE Trans Pattern Anal Mach Intell) 24(7):881–892

    Article  Google Scholar 

11. Aristidis L, Nikos V, Verbeek JJ (2003) The global k-means clustering algorithm. icassp(Pattern Recognit) 36(2):451–461

    Article  Google Scholar 

12. Chatfield SJ, Byrnes WC (1990) Correlational analysis of aesthetic competency, skill acquisition and physiologic capabilities of modern dancers. In: International dance conference, pp 79–100

13. Krasnow D, Chatfield SJ (2009) Development of the performance competence evaluation measure, assessing qualitative aspects of dance performance. J Dance Med Sci 13(4):101–107

    Google Scholar 

14. Hutchinson AG (1977) Labanotation: the system of analyzing and recording movement. Theatre Arts Books, New York

    Google Scholar 

15. Rudolf L (2011) CHOREUTICS (annotated and edited by Lisa Ullmann). Dance Books, Alton

    Google Scholar 

16. Rudolf L, Lawrence FC (1947) Effort. MacDonald and Evans, London

    Google Scholar 

17. Chi D, Costa M, Zhao L, Badler N (2000) The EMOTE model for effort and shape, center for human modeling and simulation. University of Pennsylvania, Philadelphia

    Google Scholar 

18. Torresani L, Hackney P, Christoph B (2006) Learning motion style synthesis from perceptual observations. In: Advances in neural information processing systems, pp 1393–1400

Download references