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Perceptualizing a “Haptic Edge” with Varying Stiffness Based on Force Constancy

  • Jaeyoung Cheon
  • Seungmoon Choi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4282)

Abstract

This paper introduces a novel haptic rendering technique devised to perceptualize a “haptic edge” correctly with respect to its stiffness and height models. Our previous study showed that the traditional penalty-based haptic rendering methods are not adequate to the collocated data of surface topography and stiffness since surface topography perceived by the user can be distorted from its model. In order to overcome the problem, we have developed a topography compensation algorithm based on the theory of force constancy which states that the user maintains a constant contact force when s/he strokes a surface to feel its topography. To the best of our knowledge, our technique is the first of its kind that explicitly considers the effect of user exploratory patterns in haptic rendering. Computationally, the algorithm is adaptive and efficient, not requiring any preprocessing of original data. We also demonstrate the performance and robustness of the proposed algorithm through a psychophysical experiment.

Keywords

Psychophysical Experiment Haptic Interface Compensation Algorithm Height Model Haptic Interaction 
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.

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References

  1. 1.
    Lawrence, D.A.: Stability and transparency in bilateral teleoperation. IEEE Transactions on Robotics and Automation 9(5), 624–637 (1993)CrossRefGoogle Scholar
  2. 2.
    Colgate, J.E., Schenkel, G.G.: Passivity of a class of sampled-data systems: Application to haptic interfaces. Journal of Robotic Systems 14(1), 37–47 (1997)CrossRefGoogle Scholar
  3. 3.
    Choi, S., Tan, H.Z.: Perceived instability of virtual haptic texture. I. Experimental studies. Presence: Teleoperators and Virtual Environment 13(4), 395–415 (2004)CrossRefGoogle Scholar
  4. 4.
    Choi, S., Tan, H.Z.: Perceived instability of haptic virtual texture. II. Effects of collision detection algorithm. Presence: Teleoperators and Virtual Environments 13(4), 463–481 (2005)Google Scholar
  5. 5.
    Otaduy, M.A., Lin, M.C.: Introduction to haptic rendering. In: ACM SIGGRAPH Course Notes on Recent Advances in Haptic Rendering & Applications, pp. A3–A33 (2005)Google Scholar
  6. 6.
    Brooks, T.L.: Telerobotic response requirements. In: Proceedings of IEEE Conference on Systems, Man and Cybernetics, pp. 113–120 (1990)Google Scholar
  7. 7.
    Taylor II, R.M., Robinett, W., Chi, V.L., Brooks Jr., F.P., Wright, V., Williams, R.S., Snyder, E.J.: The nanomanipulator: A virtual-reality interface for a scanning tunneling microscope. In: Proceedings of the 20th Annual Conference on Computer Graphics and Interactive Techniques, pp. 127–134 (1993)Google Scholar
  8. 8.
    Iwata, H., Noma, H.: Volume haptization. In: Proceedings of the IEEE Virtual Reality Annual International Symposium, pp. 16–23 (1993)Google Scholar
  9. 9.
    Avila, R.S., Sobierajski, L.M.: A haptic interaction method for volume visualization. In: Proceedings of the ACM Conference on Visualization, pp. 197–204 (1996)Google Scholar
  10. 10.
    Lundin, K., Ynnerman, A., Gudmundsson, B.: Proxy-based haptic feedback from volumetric density data. In: Proceedings of Eurohaptics, pp. 104–109 (2002)Google Scholar
  11. 11.
    Ikits, M., Brederson, J.D., Hansen, C.D., Johnson, C.R.: A contraint-based technique for haptic volume exploration. In: Proceedings of the IEEE Visualization Conference, pp. 263–269 (2003)Google Scholar
  12. 12.
    Maciejewski, R., Choi, S., Ebert, D.S., Tan, H.Z.: Multi-modal perceptualization of volumetric data and its applicatiton to molecular docking. In: Proceedings of the World Haptics Conference, pp. 511–514 (2005)Google Scholar
  13. 13.
    Yano, H., Nudejima, M., Iwata, H.: Development of haptic rendering methods of rigidity distribution for tool-handling type haptic interface. In: Proceedings of the World Haptics Conference, pp. 590–570 (2005)Google Scholar
  14. 14.
    Sarid, D.: Scanning Force Microscopy. Oxford Unversity Press, New York (1991)Google Scholar
  15. 15.
    Choi, S., Walker, L., Tan, H.Z., Crittenden, S., Reifenberger, R.: Force constancy and its effect on haptic perception of virtual surfaces. ACM Transactions on Applied Perception 2(2) (2005)Google Scholar
  16. 16.
    Zilles, C.B., Salisbury, J.K.: A constraint-based god-object method for haptic display. In: Proceedings of IEEE International Conference on Intelligent Robots and Systems, pp. 146–151 (1995)Google Scholar
  17. 17.
    Ruspini, D., Kolarov, K., Khatib, O.: The haptic display of complex graphical environments. In: Computer Graphics Proceedings (ACM SIGGRAPH Proceedings), pp. 345–352 (1997)Google Scholar
  18. 18.
    Macmillan, N.A., Creelman, C.D.: Detection Theory: A User’s Guide, 2nd edn. Lawrence Erlbaum Associates, Mahwah (1994)Google Scholar
  19. 19.
    Lederman, S.J., Klatzky, R.L.: Hand movement: A window into haptic object recognition. Cognitive Psychology 19, 342–368 (1987)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jaeyoung Cheon
    • 1
  • Seungmoon Choi
    • 1
  1. 1.Virtual Reality and Perceptive Media Laboratory, Department of Computer Science and EngineeringPOSTECHPohangRepublic of Korea

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