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

David Sanders; Benjamin Sanders; Alexander Gegov; David Ndzi

doi:10.1109/IntelliSys.2017.8324299

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

David Sanders, Benjamin Sanders, Alexander Gegov, David Ndzi

Peter Symonds College

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

198 Downloads (Pure)

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 language	English
Title of host publication	2017 Intelligent Systems Conference (IntelliSys)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	241-245
Number of pages	5
ISBN (Electronic)	978-1509064359
ISBN (Print)	978-1509064366
DOIs	https://doi.org/10.1109/IntelliSys.2017.8324299
Publication status	Published - 26 Mar 2018
Event	2017 Intelligent Systems Conference - America Square Conference Center, London, United Kingdom Duration: 7 Sept 2017 → 8 Sept 2017 http://www.saiconference.com/IntelliSys

Conference

Conference	2017 Intelligent Systems Conference
Abbreviated title	IntelliSys 2017
Country/Territory	United Kingdom
City	London
Period	7/09/17 → 8/09/17
Internet address	http://www.saiconference.com/IntelliSys

Keywords

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

Access to Document

10.1109/IntelliSys.2017.8324299

Pure_Results_from_Investigating_Powered_Wheelchair_Users_Learning
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Accepted author manuscript (Post-print), 263 KB

1 Active
2 Finished

Vehicle Driving
Sanders, D. (PI), Tewkesbury, G. (CoI), Chiverton, J. (CoI) & Vuksanovic, B. (Team Member)
13/03/17 → …
Project: Research
Using artificial intelligence to share control of a powered-wheelchair between a wheelchair user and an intelligent sensor system
Sanders, D. (PI), Gegov, A. (CoI) & Haddad, M. (Team Member)
Engineering and Physical Sciences Research Council
1/11/18 → 1/11/22
Project: Research

File
Ways to assist powered wheelchair users
Sanders, D. (PI), Stott, I. (CoI), Goodwin, M. J. (CoI), Langner, M. (CoI), Tewkesbury, G. (CoI), Graham-Jones, J. (CoI) & Gegov, A. (CoI)
8/02/99 → 9/07/16
Project: Innovation

Cite this

@inproceedings{b85256faeb8b4eb1ba5a222e60bf7fd1,

title = "Results from investigating powered wheelchair users learning to drive with varying levels of sensor support",

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.",

keywords = "learning, sensor, ultrasonic, powered wheelchair, robot sensing systems, wheelchairs, force, force feedback, task analysis, intelligent systems, acoustics",

author = "David Sanders and Benjamin Sanders and Alexander Gegov and David Ndzi",

year = "2018",

month = mar,

day = "26",

doi = "10.1109/IntelliSys.2017.8324299",

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booktitle = "2017 Intelligent Systems Conference (IntelliSys)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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note = "2017 Intelligent Systems Conference, IntelliSys 2017 ; Conference date: 07-09-2017 Through 08-09-2017",

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Sanders, D, Sanders, B, Gegov, A & Ndzi, D 2018, Results from investigating powered wheelchair users learning to drive with varying levels of sensor support. in 2017 Intelligent Systems Conference (IntelliSys). Institute of Electrical and Electronics Engineers Inc., pp. 241-245, 2017 Intelligent Systems Conference, London, United Kingdom, 7/09/17. https://doi.org/10.1109/IntelliSys.2017.8324299

Results from investigating powered wheelchair users learning to drive with varying levels of sensor support. / Sanders, David; Sanders, Benjamin; Gegov, Alexander et al.
2017 Intelligent Systems Conference (IntelliSys). Institute of Electrical and Electronics Engineers Inc., 2018. p. 241-245.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

Abstract

Conference

Keywords

Access to Document

Fingerprint

Projects

Vehicle Driving

Using artificial intelligence to share control of a powered-wheelchair between a wheelchair user and an intelligent sensor system

Ways to assist powered wheelchair users

Cite this