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A rule-based expert system to decide on direction and speed of a powered wheelchair

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

Some rule based techniques are presented that can assist powered wheelchair drivers. The expert system decides on the direction and speed of their wheelchair. The system tends to avoid obstacles while having a tendency to turn and head in towards a desired destination. This is achieved by producing a new target angle as an extra input. Other inputs are from sensors and a joystick. Directions are recommended and mixed with user inputs from the joystick representing desired direction and desired speed. The rule-based system decides on an angle to turn the powered wheelchair and suggest it. Inputs from the joystick and sensors are mixed with the suggested angle from the Rule Based Expert System. A modified direction for the wheelchair is produced. The whole system helps disabled wheelchair users to drive their powered wheelchairs.
Original languageEnglish
Title of host publicationIntelligent Systems and Applications
Subtitle of host publicationProceedings of the 2018 Intelligent Systems Conference (IntelliSys)
EditorsKohei Arai, Supriya Kapoor, Rahul Bhatia
PublisherSpringer
ISBN (Electronic)978-3-030-01054-6
ISBN (Print)978-3-030-01053-9
DOIs
Publication statusPublished - Jan 2019
EventIntelliSys 2018 - London, United Kingdom
Duration: 6 Sep 20187 Sep 2018

Publication series

NameAdvances in Intelligent Systems and Computing
PublisherSpringer
Volume868
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceIntelliSys 2018
CountryUnited Kingdom
CityLondon
Period6/09/187/09/18

Documents

  • A rule-based expert system

    Rights statement: The final authenticated version is available online at: http://dx.doi.org/10.1007%2F978-3-030-01054-6_57.

    Accepted author manuscript (Post-print), 2 MB, PDF-document

    Due to publisher’s copyright restrictions, this document is not freely available to download from this website until: 9/11/19

    Licence: Unspecified

Relations Get citation (various referencing formats)

ID: 8433880