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

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Advanced Topics in Artificial Intelligence (AI 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1502))

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Abstract

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.

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References

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Authors and Affiliations

  1. Advanced Computing Research Centre School of Computer & Information Science, University of South Australia, 5095, The Levels, SA, Australia

    Dan Corbett & Berend-Jan van der Zwaag

Authors
  1. Dan Corbett
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  2. Berend-Jan van der Zwaag
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Grigoris Antoniou John Slaney

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© 1998 Springer-Verlag Berlin Heidelberg

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Corbett, D., van der Zwaag, BJ. (1998). Using fuzzy logic to mitigate the effect of multiple-sclerosis tremors on a wheelchair joystick controller. In: Antoniou, G., Slaney, J. (eds) Advanced Topics in Artificial Intelligence. AI 1998. Lecture Notes in Computer Science, vol 1502. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0095039

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  • DOI: https://doi.org/10.1007/BFb0095039

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65138-3

  • Online ISBN: 978-3-540-49561-1

  • eBook Packages: Springer Book Archive

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