Simple expert system for intelligent control and HCI for a wheelchair fitted with ultrasonic sensors

David Sanders, Malik Haddad, Giles Tewkesbury, Mohamad Thabet, Peter Osagie Omoarebun, Tom Barker

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

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Abstract

Using an expert system to make driving a powered-wheelchair less problematic is investigated. The system interprets sensor and joystick signals and then mixes them and improves that collaboration to control speed and direction. Ultrasonic sensors are used to identify hazardous circumstances and suggest a safer direction and speed. Results from drivers completing a series of timed routes are presented. Users completed tests using joysticks to control their chair with and then without a microcomputer and sensor system. A recent system is used to compare and contrast the results. This new system consistently performed quicker than the recent system. It also appears that the quantity of support provided by the sensors and microcomputer should be adjusted depending on situations and surroundings.
Original languageEnglish
Title of host publicationIEEE Proceedings of the Conference on Intelligent Systems (IS)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages211-216
ISBN (Electronic)978-1-7281-5456-5
ISBN (Print)978-1-7281-5457-2
DOIs
Publication statusPublished - 18 Sept 2020
Event2020 IEEE 10th International Conference on Intelligent Systems - Varna, Bulgaria
Duration: 28 Aug 202030 Aug 2020

Publication series

NameIEEE IS Proceedings Series
PublisherIEEE
ISSN (Print)1541-1672

Conference

Conference2020 IEEE 10th International Conference on Intelligent Systems
Country/TerritoryBulgaria
CityVarna
Period28/08/2030/08/20

Keywords

  • RCUK
  • EPSRC
  • EP/S005927/1

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