Using fuzzy logic to mitigate the effect of multiple-sclerosis tremors on a wheelchair joystick controller

  • Dan Corbett
  • Berend-Jan van der Zwaag
Applications Track
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1502)


We have designed a fuzzy logic wheelchair controller to minimise the effect of Multiple Sclerosis hand tremors on a wheelchair joystick controller. The aim is to give people with Multiple Sclerosis better control of an electric wheelchair by removing tremors from the joystick signal. This has been achieved by creating a hybrid system which uses fuzzy logic techniques combined with certainty factors, and a fixed point defuzzification technique. This allows the system to reason under uncertainty and choose the most appropriate direction and speed from a defined list.


Fuzzy Logic Fuzzy Control Multiple Sclerosis Rehabilitation 


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  1. 1.
    Corbett, D.R. and P. Martinez, “Toward Learning Individual Characteristics in a Hybrid Neuro-Fuzzy Wheelchair Controller,” International Journal of Intelligent Systems, 1998. 13 (6).Google Scholar
  2. 2.
    D’Angelo, G., M. Lo Presti, and G. G. Rizzotto. “A Robust Controller for the Rotor Speed of a Brushless Motor,” in Proc. Third International Conference on Fuzzy Logic, Neural Nets and Soft Computing, August, 1994. Iizuka, Fukuoka, Japan.Google Scholar
  3. 3.
    Hirota, K. and M. Sugeno, Industrial Applications of Fuzzy Technology in the World. 1995: World Scientific.Google Scholar
  4. 4.
    Kosko, B., Fuzzy Thinking, The New Science of Fuzzy Logic. 1993, New York: Hyperion.Google Scholar
  5. 5.
    Liu, X. and R.C. Miall, “Analysis of Action Tremor and Impaired Control of Movement Velocity in Multiple Sclerosis During Visually Guided Wrist-Tracking Tasks”, Movement Disorders, 1997. 12(6): p. 992–999.CrossRefGoogle Scholar
  6. 6.
    Martinez, P., D.R. Corbett, and L.C. Jain. “A Fuzzy Logic Wheelchair Controller,” in Proc. Fourth International Conference on Soft Computing, October, 1996. Iizuka, Fukuoka, Japan: World Scientific.Google Scholar
  7. 7.
    Palm, R. and D. Driankov, Fuzzy Imputs. 1994: IEEE Press.Google Scholar
  8. 8.
    Yager, R. and D. Filev. “Modelling Fuzzy Logic Controllers Having Noisy Inputs,” in Proc. Third IEEE Conference on Fuzzy Systems, 1994. Orlando, Florida, USA: IEEE Press.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Dan Corbett
    • 1
  • Berend-Jan van der Zwaag
    • 1
  1. 1.Advanced Computing Research Centre School of Computer & Information ScienceUniversity of South AustraliaThe LevelsAustralia

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