A rule-based expert system to decide on direction and speed of a powered wheelchair

Sanders, David A, Gegov, Alexander, Haddad, Malik, Ikwan, Favour, Wiltshire, David and Tan, Yong Chai (2019) A rule-based expert system to decide on direction and speed of a powered wheelchair. In: Intelligent Systems and Applications: Proceedings of the 2018 Intelligent Systems Conference (IntelliSys) Volume 1.

Abstract

Some rule based techniques are presented that can assist powered wheelchair drivers. The expert system decides on the direction and speed of their wheelchair. The system tends to avoid obstacles while having a tendency to turn and head in towards a desired destination. This is achieved by producing a new target angle as an extra input. Other inputs are from sensors and a joystick. Directions are recommended and mixed with user inputs from the joystick representing desired direction and desired speed. The rule-based system decides on an angle to turn the powered wheelchair and suggest it. Inputs from the joystick and sensors are mixed with the suggested angle from the Rule Based Expert System. A modified direction for the wheelchair is produced. The whole system helps disabled wheelchair users to drive their powered wheelchairs.

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 11:32
Last Modified:	21 Dec 2023 11:32
URI:	https://nul.repository.guildhe.ac.uk/id/eprint/1395

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