Creating VR-based setups for the study of human motor behaviour

  • T. Kuhlen
  • R. Steffan
  • M. Schmitt
  • C. Dohle
Conference paper
Part of the Eurographics book series (EUROGRAPH)


The present paper demonstrates that study of human motion behaviour can be usefully assisted by Virtual Reality (VR) techniques, building up motion tasks in which subjects interact with virtual instead of real objects. A tool is introduced by which an experimenter can easily build up VR-based reach to grasp experiments. Virtual objects are presented to the test subjects by means of a viewer centered projection onto a high resolution graphics monitor. Experiments for the visual perception of viewer centered visualized objects show that inaccuracies, resulting from the curved surface of the screen, and discrepancies between convergence and accomodation, can be neglected when the negative parallax is not too large. Using the developed tool, the results of a first experiment related to the study of human motion behaviour are presented, which show that VR-based experiments can indeed lead to concrete hypotheses about human movement organization: the results suggest that not only the transport and the grasp component are represented by two separate visuomotor channels in the human brain, but that also the grasp component itself is divided into two separate programs, one for the acceleration phase and the other for the deceleration phase of a reach to grasp movement.


Virtual Reality Deceleration Phase Virtual Object Haptic Feedback Maximum Aperture 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Flash, T. (1990). The Organization of Human Arm Trajectory Control. In Multiple Muscle Systems: Biomechanics and Movement Organization, chap. 17. Springer-Verlag, New York.Google Scholar
  2. Jeannerod, M. (1981). Intersegmental Coordination During Reaching at Natural Visual Objects. In Attention and Performance, chap. 9. Erlbaum, New York.Google Scholar
  3. Krüger, W. and Fröhlich, B. (1994). Responsive Workbench. Towards a user-centered, application-driven multimedia human-computer interface. In IPA/IAO-Forum Virtual Reality — Anwendungen und Trends. Springer-Verlag.Google Scholar
  4. Kudoh, N., Hattori, M., Numata, N., and Maruyama, K. (1997). An analysis of spatiotemporal variability during prehension movements: effects of object size and distance. Experimental Brain Research, 117:457–464.CrossRefGoogle Scholar
  5. Kuhlen, T. (1998). Entwurf und Validierung eines klinischen Diagnose-Assistenten zur Klassifikation des Greifverhaltens nach realen und virtuellen Objekten. PhD thesis, Lehrstuhl für Technische Informatik der RWTH Aachen.Google Scholar
  6. Kuhlen, T., Dohle, C., Walter, P., Schmitt, M., Hefter, H., Kraiss, K.-F., and Freund, H.-J. (1996a). Impact — a VR-based system for diagnosis and therapy of sensorimotor disturbances. In Virtual Reality World’ 96, Stuttgart. Computerwoche Verlag, München.Google Scholar
  7. Kuhlen, T., Kraiss, K.-F., Szymanski, A., Dohle, C., Hefter, H., and Freund, H.-J. (1996b). Virtual Holography in diagnosis and therapy of sensorimotor disturbances. In Technology and Informatics 29, chap. 22. IOS Press, Amsterdam.Google Scholar
  8. Marteniuk, R., Leavitt, J., MacKenzie, C., and Athenes, S. (1990). Functional relationships between grasp and transport components in a prehension task. Human Movement Science, 9:149–176.CrossRefGoogle Scholar
  9. Paulignan, Y. and Jeannerod, M. (1996). Prehension Movements — The Visuomotor Channels Hypothesis Revisited, chap. 13, pages 265–282. Academic Press.Google Scholar
  10. Wing, A., Turton, A., and Fraser, C. (1986). Grasp size and accuracy of approach in reaching. Journal of Motor Behavior, 18(3):245–260.Google Scholar

Copyright information

© Springer-Verlag/Wien 1998

Authors and Affiliations

  • T. Kuhlen
  • R. Steffan
  • M. Schmitt
  • C. Dohle

There are no affiliations available

Personalised recommendations