Minimising tremor in a joystick using fuzzy logic

B.J. van der Zwaag, Dan Corbett, Lakhmi Jain

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    Abstract

    We have designed and built a fuzzy logic controller which minimises the effect of Multiple Sclerosis (MS) hand tremors. The aim of our project has been to give people with Multiple Sclerosis better control of an electronic wheelchair by removing tremors from the joystick signal. The system intercepts the signal from the joystick and then passes it through the fuzzy logic controller. The fuzzy logic rules identify and reduce erratic or unusual movements, employing a history mechanism to determine what ``unusual'' is. The fuzzy logic then outputs a signal which most closely represents the intent of the user. This paper reports on the latest experiments conducted with our prototype wheelchair, using test volunteers with MS, as well as on the design of a new fuzzy logic controller.
    Original languageUndefined
    Title of host publicationProceedings of the Third International Conference on Knowledge-Based Intelligent Information Engineering Systems (KES'99)
    EditorsH.J. Kappen, R.P.W. Duin, B.J.A. Krose, W. Segeth
    Place of PublicationU.S.A.
    PublisherIEEE
    Pages5-8
    Number of pages4
    ISBN (Print)0-7803-5578-4
    DOIs
    Publication statusPublished - Aug 1999

    Publication series

    Name
    PublisherIEEE Press

    Keywords

    • METIS-216401
    • IR-56208
    • EWI-1780

    Cite this

    van der Zwaag, B. J., Corbett, D., & Jain, L. (1999). Minimising tremor in a joystick using fuzzy logic. In H. J. Kappen, R. P. W. Duin, B. J. A. Krose, & W. Segeth (Eds.), Proceedings of the Third International Conference on Knowledge-Based Intelligent Information Engineering Systems (KES'99) (pp. 5-8). U.S.A.: IEEE. https://doi.org/10.1109/KES.1999.820105