Simple Expert System for Intelligent Control and HCI for a Wheelchair fitted with Ultrasonic Sensors
David Sanders, Malik Haddad, Giles Tewkesbury, Mohamad Thabet, Peter Omoarebun, Tom Barker
Abstract
Using an expert system to make driving a powered-wheelchair less problematic is investigated. The system interprets sensor and joystick signals and then mixes them and improves that collaboration to control speed and direction. Ultrasonic sensors are used to identify hazardous circumstances and suggest a safer direction and speed. Results from drivers completing a series of timed routes are presented. Users completed tests using joysticks to control their chair with and then without a microcomputer and sensor system. A recent system is used to compare and contrast the results. This new system consistently performed quicker than the recent system. It also appears that the quantity of support provided by the sensors and microcomputer should be adjusted depending on situations and surroundings.