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 |
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| Pages | 5-8 |
| Number of pages | 4 |
| Publication status | Published - 1999 |
| Externally published | Yes |
| Event | Third International Conference on Knowledge-Based Intelligent Information Engineering Systems, KES 1999 - Adelaide, Australia Duration: 31 Aug 1999 → 1 Sept 1999 Conference number: 3 |
Conference
| Conference | Third International Conference on Knowledge-Based Intelligent Information Engineering Systems, KES 1999 |
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| Abbreviated title | KES 1999 |
| Country/Territory | Australia |
| City | Adelaide |
| Period | 31/08/99 → 1/09/99 |