Skip to main content

Motion Primitives of Dancing

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5024))

Abstract

In this work, we analyze whether oscillatory motion between two extreme positions could be used to create a robotic dancing partner that provides natural haptic feedback. To this end, we compared the pattern of hand movements performed following a pacing signal while participants were instructed to either move rhythmically or to dance. Furthermore, we analyzed the influence of the frequency and type of pacing signal on the two kinds of movements. Trajectories were analyzed in terms of: frequency of movement, spatial and temporal synchronization, and jerk.

Results indicate that it is easier to perform synchronized movements while dancing, even though these movements partially deviate from the pacing frequency. Dance movements are in fact more complex than the ones produced to keep the rhythm and for this reason they should be modeled accordingly in order to provide realistic haptic feedback.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Brown, S., Martinez, M.J., Parsons, L.M.: The neural basis of human dance. Cerebral Cortex 16, 1157–1167 (2006)

    Article  Google Scholar 

  2. Shinozaki, K., Oda, Y., Tsuda, S., Nakatsu, R., Iwatani, A.: Study of dance entertainment using robots. In: Pan, Z., Aylett, R.S., Diener, H., Jin, X., Göbel, S., Li, L. (eds.) Edutainment 2006. LNCS, vol. 3942, pp. 473–483. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  3. Repp, B.H., Penel, A.: Rhythmic movement is attracted more strongly to auditory than to visual rhythms. Psychological Research 68, 252–270 (2004)

    Article  Google Scholar 

  4. Balasubramaniam, R., Wing, A.M., Daffertshofer, A.: Keeping with the beat: movement trajectories contribute to movement timing. Experimental Brain Research 159, 129–134 (2004)

    Google Scholar 

  5. Pollatou, E., Hatzitaki, V., Karadimou, K.: Rhythm or music? Contrasting two types of auditory stimuli in the performance of a dancing routine. Perceptual and Motor Skills 97, 99–106 (2003)

    Google Scholar 

  6. Peper, C.L.E., Beek, P.J., van Wieringen, P.C.W.: Frequency-induced phase transitions in bimanual tapping. Biological Cybernetics 73, 301–309 (1995)

    Article  Google Scholar 

  7. Flash, T., Hogan, N.: The coordination of arm movements: An experimentally confirmed mathematical model. The Journal of Neuroscience 5, 1688–1703 (1985)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Manuel Ferre

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Groten, R., Hölldampf, J., Di Luca, M., Ernst, M., Buss, M. (2008). Motion Primitives of Dancing. In: Ferre, M. (eds) Haptics: Perception, Devices and Scenarios. EuroHaptics 2008. Lecture Notes in Computer Science, vol 5024. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69057-3_106

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-69057-3_106

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69056-6

  • Online ISBN: 978-3-540-69057-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics