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

Dan Corbett; Berend-Jan van der Zwaag

doi:10.1007/bfb0095039

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

University of South Australia

Research output: Chapter in Book/Report/Conference proceeding › Contribution to conference proceeding › Academic › peer-review

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.

Original language	English
Title of host publication	Australian Joint Conference on Artificial Intelligence
Publisher	Springer Nature
Pages	39-46
Number of pages	8
ISBN (Electronic)	978-3-540-49561-1
ISBN (Print)	978-3-540-65138-3
DOIs	https://doi.org/10.1007/bfb0095039
Publication status	Published - 19 Oct 1998
Externally published	Yes

Keywords

fuzzy control
fuzzy logic
multiple sclerosis rehabilitation

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10.1007/bfb0095039

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title = "Using fuzzy logic to mitigate the effect multiple-sclerosis tremors on a wheelchair joystick controller",

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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AB - 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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BT - Australian Joint Conference on Artificial Intelligence

PB - Springer Nature

ER -

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

Abstract

Keywords

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