Results from investigating powered wheelchair users learning to drive with varying levels of sensor support

David Sanders, Benjamin Sanders, Alexander Gegov, David Ndzi

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

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Abstract

This paper presents some results from investigating wheelchair driver learning when using different amounts of sensor support. A quantitative and qualitative empirical evaluation is made about the effect of using intelligent sensor support while a participant learns to operate a wheelchair. Reliance on teaching processes was recorded while a variety of levels of support were provided. Results are presented.
Original languageEnglish
Title of host publication2017 Intelligent Systems Conference (IntelliSys)
PublisherIEEE
Pages241-245
Number of pages5
ISBN (Electronic)978-1509064359
ISBN (Print)978-1509064366
DOIs
Publication statusPublished - 26 Mar 2018
Event2017 Intelligent Systems Conference - America Square Conference Center, London, United Kingdom
Duration: 7 Sep 20178 Sep 2017
http://www.saiconference.com/IntelliSys

Conference

Conference2017 Intelligent Systems Conference
Abbreviated titleIntelliSys 2017
Country/TerritoryUnited Kingdom
CityLondon
Period7/09/178/09/17
Internet address

Keywords

  • learning
  • sensor
  • ultrasonic
  • powered wheelchair
  • robot sensing systems
  • wheelchairs
  • force
  • force feedback
  • task analysis
  • intelligent systems
  • acoustics

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