Steering direction for a powered-wheelchair using the Analytical Hierarchy Process

Malik Haddad; David Sanders; Martin Langner; Favour Chidinma Ikwan; Giles Tewkesbury; Alexander Gegov

doi:10.1109/IS48319.2020.9200132

Steering direction for a powered-wheelchair using the Analytical Hierarchy Process

Malik Haddad, David Sanders, Martin Langner, Favour Chidinma Ikwan, Giles Tewkesbury, Alexander Gegov

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

182 Downloads (Pure)

Abstract

For the first time, the Analytical Hierarchy Process (AHP) is employed to recommend a steering course for a powered-wheelchair. A safe route for a wheelchair is proposed by the decision-making system that tends to evade obstacles. Two ultrasonic transceivers are mounted onto a wheelchair. The resulting route is a blend between a provided direction from a user’s joystick and a proposed direction from the decision making system that steers a powered-wheelchair to safely avoid obstacles in the way of the wheelchair. The procedure assists a disabled user to steer their wheelchair by choosing a direction that is a compromise between a direction suggested by the sensors and a direction requested by the driver. Sensitivity analysis explores directions amid uncertainty and risk. An appropriate direction is chosen but a human driver can over-ride the decision if necessary.

Original language	English
Title of host publication	2020 IEEE 10th International Conference on Intelligent Systems (IS)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	229-234
ISBN (Electronic)	978-1-7281-5456-5
ISBN (Print)	978-1-7281-5457-2
DOIs	https://doi.org/10.1109/IS48319.2020.9200132
Publication status	Published - 18 Sept 2020
Event	2020 IEEE 10th International Conference on Intelligent Systems - Varna, Bulgaria Duration: 28 Aug 2020 → 30 Aug 2020

Publication series

Name	IEEE IS Proceedings Series
Publisher	IEEE
ISSN (Print)	1541-1672

Conference

Conference	2020 IEEE 10th International Conference on Intelligent Systems
Country/Territory	Bulgaria
City	Varna
Period	28/08/20 → 30/08/20

Keywords

RCUK
EPSRC
EP/S005927/1

Access to Document

10.1109/IS48319.2020.9200132

Steering Direction for a Powered-Wheelchair
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Accepted author manuscript (Post-print), 1.01 MB

Using artificial intelligence to share control of a powered-wheelchair between a wheelchair user and an intelligent sensor system
Sanders, D., Gegov, A. & Haddad, M.
Engineering and Physical Sciences Research Council
1/11/18 → 1/11/22
Project: Research

File

Top two per cent of researchers in the world
Sanders, David (Recipient), 2 Nov 0001
Prize: National/international honour

Cite this

Haddad, M., Sanders, D., Langner, M., Ikwan, F. C., Tewkesbury, G., & Gegov, A. (2020). Steering direction for a powered-wheelchair using the Analytical Hierarchy Process. In 2020 IEEE 10th International Conference on Intelligent Systems (IS) (pp. 229-234). (IEEE IS Proceedings Series). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IS48319.2020.9200132

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abstract = "For the first time, the Analytical Hierarchy Process (AHP) is employed to recommend a steering course for a powered-wheelchair. A safe route for a wheelchair is proposed by the decision-making system that tends to evade obstacles. Two ultrasonic transceivers are mounted onto a wheelchair. The resulting route is a blend between a provided direction from a user{\textquoteright}s joystick and a proposed direction from the decision making system that steers a powered-wheelchair to safely avoid obstacles in the way of the wheelchair. The procedure assists a disabled user to steer their wheelchair by choosing a direction that is a compromise between a direction suggested by the sensors and a direction requested by the driver. Sensitivity analysis explores directions amid uncertainty and risk. An appropriate direction is chosen but a human driver can over-ride the decision if necessary.",

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author = "Malik Haddad and David Sanders and Martin Langner and Ikwan, {Favour Chidinma} and Giles Tewkesbury and Alexander Gegov",

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language = "English",

isbn = "978-1-7281-5457-2",

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Haddad, M, Sanders, D, Langner, M, Ikwan, FC, Tewkesbury, G & Gegov, A 2020, Steering direction for a powered-wheelchair using the Analytical Hierarchy Process. in 2020 IEEE 10th International Conference on Intelligent Systems (IS). IEEE IS Proceedings Series, Institute of Electrical and Electronics Engineers Inc., pp. 229-234, 2020 IEEE 10th International Conference on Intelligent Systems, Varna, Bulgaria, 28/08/20. https://doi.org/10.1109/IS48319.2020.9200132

Steering direction for a powered-wheelchair using the Analytical Hierarchy Process. / Haddad, Malik; Sanders, David; Langner, Martin et al.
2020 IEEE 10th International Conference on Intelligent Systems (IS). Institute of Electrical and Electronics Engineers Inc., 2020. p. 229-234 (IEEE IS Proceedings Series).

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

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AU - Sanders, David

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AU - Gegov, Alexander

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AB - For the first time, the Analytical Hierarchy Process (AHP) is employed to recommend a steering course for a powered-wheelchair. A safe route for a wheelchair is proposed by the decision-making system that tends to evade obstacles. Two ultrasonic transceivers are mounted onto a wheelchair. The resulting route is a blend between a provided direction from a user’s joystick and a proposed direction from the decision making system that steers a powered-wheelchair to safely avoid obstacles in the way of the wheelchair. The procedure assists a disabled user to steer their wheelchair by choosing a direction that is a compromise between a direction suggested by the sensors and a direction requested by the driver. Sensitivity analysis explores directions amid uncertainty and risk. An appropriate direction is chosen but a human driver can over-ride the decision if necessary.

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Steering direction for a powered-wheelchair using the Analytical Hierarchy Process

Abstract

Publication series

Conference

Keywords

Access to Document

Fingerprint

Projects

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

Prizes

Top two per cent of researchers in the world

Cite this