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

Grigoris Antoniou (Editor), Dan Corbett, B.J. van der Zwaag, John Slaney (Editor)

Research output: Contribution to conferencePaper

1 Citation (Scopus)

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 languageUndefined
Pages39-46
DOIs
Publication statusPublished - 1998
Event11th Australian Joint Conference on Artificial Intelligence, AI 1998 - Brisbane, Australia, Brisbane, Australia
Duration: 13 Jul 199817 Jul 1998
Conference number: 11

Conference

Conference11th Australian Joint Conference on Artificial Intelligence, AI 1998
Abbreviated titleAI 1998
CountryAustralia
CityBrisbane
Period13/07/9817/07/98

Keywords

  • IR-56214

Cite this

Antoniou, G. (Ed.), Corbett, D., van der Zwaag, B. J., & Slaney, J. (Ed.) (1998). Using fuzzy logic to mitigate the effect of multiple-sclerosis tremors on a wheelchair joystick controller. 39-46. Paper presented at 11th Australian Joint Conference on Artificial Intelligence, AI 1998, Brisbane, Australia. https://doi.org/10.1007/BFb0095039