Minimising tremor in a joystick controller using fuzzy logic.

Berend-Jan van der Zwaag; Dan Corbett; Lakhmi C. Jain

doi:10.1109/KES.1999.820105

Minimising tremor in a joystick controller using fuzzy logic.

Berend-Jan van der Zwaag, Dan Corbett, Lakhmi C. Jain

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

Abstract

We have designed and built a fuzzy logic controller which minimizes 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 electric 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 language	English
Title of host publication	Third International Conference on Knowledge-Based Intelligent Information Engineering Systems. Proceedings
Publisher	IEEE
Pages	5-8
Number of pages	4
ISBN (Print)	0-7803-5578-4
DOIs	https://doi.org/10.1109/KES.1999.820105
Publication status	Published - 1999
Externally published	Yes

Keywords

fuzzy logic
wheelchairs
multiple sclerosis
control systems
fuzzy control
logic testing
signal processing
intelligent systems
Australia

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10.1109/KES.1999.820105

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title = "Minimising tremor in a joystick controller using fuzzy logic.",

abstract = "We have designed and built a fuzzy logic controller which minimizes 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 electric 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.",

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author = "Zwaag, {Berend-Jan van der} and Dan Corbett and Jain, {Lakhmi C.}",

note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",

year = "1999",

doi = "10.1109/KES.1999.820105",

language = "English",

isbn = "0-7803-5578-4",

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Minimising tremor in a joystick controller using fuzzy logic. / Zwaag, Berend-Jan van der; Corbett, Dan; Jain, Lakhmi C.
Third International Conference on Knowledge-Based Intelligent Information Engineering Systems. Proceedings . IEEE , 1999. p. 5-8.

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

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AU - Corbett, Dan

AU - Jain, Lakhmi C.

N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 1999

Y1 - 1999

N2 - We have designed and built a fuzzy logic controller which minimizes 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 electric 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.

AB - We have designed and built a fuzzy logic controller which minimizes 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 electric 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.

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KW - fuzzy control

KW - logic testing

KW - signal processing

KW - intelligent systems

KW - Australia

KW - fuzzy logica

KW - rolstoelen

KW - multiple sclerosis

KW - controlesystemen

KW - fuzzy controle

KW - logisch testen

KW - signaalverwerking

KW - slimme systemen

KW - Australië

U2 - 10.1109/KES.1999.820105

DO - 10.1109/KES.1999.820105

M3 - Contribution to conference proceeding

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SP - 5

EP - 8

BT - Third International Conference on Knowledge-Based Intelligent Information Engineering Systems. Proceedings

PB - IEEE

ER -

Minimising tremor in a joystick controller using fuzzy logic.

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Keywords

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