Skip to main content

A Natural Movement Database for Management, Documentation, Visualization, Mining and Modeling of Locomotion Experiments

  • Conference paper
Biomimetic and Biohybrid Systems (Living Machines 2014)

Abstract

In recent years, experimental data on natural, un-restrained locomotion of animals has strongly increased in complexity and quantity. This is due to novel motion-capture techniques, but also to the combination of several methods such as electromyography or force measurements. Since much of these data are of great value for the development, modeling and benchmarking of technical locomotion systems, suitable data management, documentation and visualization are essential. Here, we use an example of comparative kinematics of climbing insects to propose a data format that is equally suitable for scientific analysis and sharing through web repositories. Two data models are used: a relational model (SQL) for efficient data management and mining, and the Resource Description Framework (RDF), releasing data according to the Linked Data principles and connecting it to other datasets on the web. Finally, two visualization options are presented, using either a photo-realistic rendering or a plain but versatile cylinder-based 3D-model.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Cruse, H., Dürr, V., Schilling, M., Schmitz, J.: Principles of insect locomotion. In: Arena, P., Patanè, L. (eds.) Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots, pp. 43–96. Springer, Berlin (2009)

    Chapter  Google Scholar 

  2. Büschges, A.: Lessons for circuit function from large insects: towards understanding the neural basis of motor flexibility. Curr. Opin. Neurobiol. 22, 602–608 (2012)

    Article  Google Scholar 

  3. Dürr, V., Schmitz, J., Cruse, H.: Behaviour-based modelling of hexapod locomotion: linking biology and technical application. Arthr. Struct. Dev. 33, 237–250 (2004)

    Article  Google Scholar 

  4. Schmitz, J., Schneider, A., Schilling, M., Cruse, H.: No need for a body model: Positive velocity feedback for the control of an 18-DOF robot walker. Applied Bionics and Biomechanics 5, 135–147 (2008)

    Article  Google Scholar 

  5. Schneider, A., Paskarbeit, J., Schäffersmann, M., Schmitz, J.: Biomechatronics for embodied intelligence of an insectoid robot. In: Jeschke, S., Liu, H., Schilberg, D. (eds.) ICIRA 2011, Part II. LNCS, vol. 7102, pp. 1–11. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  6. Safonova, A., Hodgins, J.K., Pollard, N.S.: Synthesizing physically realistic human motion in low-dimensional, behavior-specific spaces. ACM Transactions on Graphics 23, 514–521 (2004)

    Article  Google Scholar 

  7. Barbic, J., Safonova, A., Pan, J.-Y., Faloutsos, C., Hodgins, J.K., Pollard, N.S.: Segmenting motion capture data into distinct behaviors. In: Proc. Graphics Interface, GI 2004, pp. 185–194 (2004)

    Google Scholar 

  8. Parks, D.H.: Analyzing the structure of a motion capture database under a similarity metric. Technical Report CPSC533C: University of British Columbia. Vancouver, Canada (2008)

    Google Scholar 

  9. Müller, M., Röder, T., Clausen, M.: Efficient content-based retrieval of motion capture data. ACM Transactions on Graphics 24(3), 677–685 (2005)

    Article  Google Scholar 

  10. Demuth, B., Röder, T., Müller, M., Eberhardt, B.: An information retrieval system for motion capture data. In: Lalmas, M., MacFarlane, A., Rüger, S.M., Tombros, A., Tsikrika, T., Yavlinsky, A. (eds.) ECIR 2006. LNCS, vol. 3936, pp. 373–384. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  11. Müller, M., Baak, A., Seidel, H.-P.: Efficient and robust annotation of motion capture data. In: Proc. ACM SIGGRAPH/Eurographics Symposium on Computer Animation. (2009)

    Google Scholar 

  12. Theunissen, L.M., Dürr, V.: Insects use two distinct classes of steps during unrestrained locomotion. PLOS one 8, e85321 (2013)

    Google Scholar 

  13. Cruse, H.: The control of the anterior extreme position of the hindleg of a walking insect. Carausius morosus. Physiol. Entomol. 4, 121–124 (1979)

    Article  Google Scholar 

  14. Lorensen, W.E., Cline, H.E.: Marching Cubes: A high resolution 3D surface construction algorithm. In: Proc. ACM SIGGRAPH, pp. 163–170 (1987)

    Google Scholar 

  15. Botsch, M., Kobbelt, L., Pauly, M., Alliez, P., Levy, B.: Polygon Mesh Processing. AK Peters (2010)

    Google Scholar 

  16. Kavan, L., Collins, S., Zara, J., O’Sullican, C.: Geometric skinning with approximate dual quaternion blending. ACM Transactions on Graphics 27(4) (2008)

    Google Scholar 

  17. Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web: a new form of Web content that is meaningful to computers will unleash a revolution of new possibilities. Sci. Am. 284, 34–43 (2001)

    Article  Google Scholar 

  18. Heath, T., Bizer, C.: Linked Data: Evolving the web into a global data space. Synthesis Lectures on the Semantic Web: Theory and Technology Morgan & Claypool (2011)

    Google Scholar 

  19. Wiljes, C., Cimiano, P.: Linked Data for the natural sciences: Two use cases in chemistry and biology. In: Proc. Workshop on the Semantic Publishing, SePublica 2012, pp. 48–59 (2012)

    Google Scholar 

  20. Schleif, F.-M., Mokbel, B., Gisbrecht, A., Theunissen, L., Dürr, V., Hammer, B.: Learning relevant time points for time-series data in the life sciences. In: Villa, A.E., Duch, W., Érdi, P., Masulli, F., Palm, G. (eds.) ICANN 2012, Part II. LNCS, vol. 7553, pp. 531–539. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Theunissen, L.M. et al. (2014). A Natural Movement Database for Management, Documentation, Visualization, Mining and Modeling of Locomotion Experiments. In: Duff, A., Lepora, N.F., Mura, A., Prescott, T.J., Verschure, P.F.M.J. (eds) Biomimetic and Biohybrid Systems. Living Machines 2014. Lecture Notes in Computer Science(), vol 8608. Springer, Cham. https://doi.org/10.1007/978-3-319-09435-9_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-09435-9_27

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09434-2

  • Online ISBN: 978-3-319-09435-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics