Minimizing tremor in a joystick controller using fuzzy logic

Berend Jan van der Zwaag*, Dan Corbett, Lakhmi Jain

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

5 Citations (Scopus)

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 languageEnglish
Pages5-8
Number of pages4
Publication statusPublished - 1999
Externally publishedYes
EventThird International Conference on Knowledge-Based Intelligent Information Engineering Systems, KES 1999 - Adelaide, Australia
Duration: 31 Aug 19991 Sep 1999
Conference number: 3

Conference

ConferenceThird International Conference on Knowledge-Based Intelligent Information Engineering Systems, KES 1999
Abbreviated titleKES 1999
CountryAustralia
CityAdelaide
Period31/08/991/09/99

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