Initial results from using Preference Ranking Organization METHods for Enrichment of Evaluations to help steer a powered wheelchair

Haddad, Malik, Sanders, David, Tewkesbury, Giles, Gegov, Alexander, Hassan, Mohamed and Ikwan, Favour (2020) Initial results from using Preference Ranking Organization METHods for Enrichment of Evaluations to help steer a powered wheelchair. In: Intelligent Systems and Applications: Proceedings of the 2019 Intelligent Systems Conference (IntelliSys) Volume 1.

Abstract

Research is presented that uses PROMETHEE II to determine a direction for a powered wheelchair. This is the only time that PROMETHEE II has been employed for this sort of use. A wheelchair driver proposes a preferred speed and direction, and PROMETHEE II recommends a reliable and trustworthy bearing. The two directions are combined so that the wheelchair safely avoids obstacles. Ultrasonic sensors and joysticks provide the inputs and the final direction is a combination of the preferred bearing and a route that safely avoids obstacles. The systematic decision-making process assists the user with steering safely. Sensitivity analysis explores the potential directions and an appropriate direction is chosen. A driver can reject or cancel a decision suggestions by holding their joystick in a fixed place.

Item Type:	Conference or Workshop Item (Paper)
Disciplines:	Computing, Maths, Engineering and Natural Sciences > Computer Science Computing, Maths, Engineering and Natural Sciences > Data Science & AI
Depositing User:	Malik Haddad
Date Deposited:	21 Dec 2023 11:28
Last Modified:	21 Dec 2023 11:28
URI:	https://nul.repository.guildhe.ac.uk/id/eprint/1388

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