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Using a simple expert system to assist a powered wheelchair user

Research output: Chapter in Book/Report/Conference proceedingConference contribution

A simple expert system is described that helps wheelchair users to drive their wheelchairs. The expert system takes data in from sensors and a joystick, identifies obstacles and then recommends a safe route. Wheelchair users were timed while driving around a variety of routes and using a joystick controlling their wheelchair via the simple expert system. Ultrasonic sensors are used to detect the obstacles. The simple expert system performed better than other recently published systems. In more difficult situations, wheelchair drivers did better when there was help from a sensor system. Wheelchair users completed routes with the sensors and expert system and results are compared with the same users driving without any assistance. The new systems show a significant improvement.
Original languageEnglish
Title of host publicationProceedings of SAI Intelligent Systems Conference
Subtitle of host publicationIntelliSys 2019: Intelligent Systems and Applications
EditorsYaxin Bi, Rahul Bhatia, Supriya Kapoor
Number of pages18
ISBN (Electronic)978-3-030-29516-5
ISBN (Print)978-3-030-29515-8
Publication statusPublished - 24 Aug 2019
EventIEEE SAI Intelligent Systems Conference 2019 - London, United Kingdom
Duration: 5 Sep 20196 Sep 2019

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365


ConferenceIEEE SAI Intelligent Systems Conference 2019
Abbreviated titleIntelliSys 2019
CountryUnited Kingdom
Internet address


  • Using a simple expert system

    Rights statement: This is a post-peer-review, pre-copyedit version of an article published in the Proceedings of SAI Intelligent Systems Conference: IntelliSys 2019: Intelligent Systems and Applications. The final authenticated version is available online at:

    Accepted author manuscript (Post-print), 652 KB, PDF document

    Due to publisher’s copyright restrictions, this document is not freely available to download from this website until: 24/08/20

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ID: 12919582