@inproceedings{70ddcbbd608b415d856f691876f9a421,
title = "Intelligent HMI and control for steering a powered wheelchair using a Raspberry Pi microcomputer",
abstract = "This paper presents a new technique for controlling powered wheelchairs. A Raspberry Pi microcomputer is used to assist in controlling direction. A Raspberry Pi is inserted between user input switches and powered wheelchair motors to create a more intelligent Human Machine Interface (HMI). An electronic circuit is created that consists of an ultrasonic sensor array and a set of control relays. The sensors provided information about obstacles surrounding the wheelchair. Python programming language was used to create a code that digitized the output from the user switches and assessed information provided by the ultrasonic sensor array. The code was loaded onto a Raspberry Pi and the Raspberry Pi controlled voltages supplied to the motors. Tests were conducted and results showed that the new system can successfully assist a wheelchair user in avoiding obstacles. The system can be used as an intelligent interface between any input device or sensor system and wheelchair motors.",
keywords = "RCUK, EPSRC, EP/S005927/1",
author = "Malik Haddad and David Sanders and Ikwan, {Favour Chidinma} and Mohamad Thabet and Langner, {Martin Clifford} and Alexander Gegov",
year = "2020",
month = sep,
day = "18",
doi = "10.1109/IS48319.2020.9199841",
language = "English",
isbn = "978-1-7281-5457-2",
series = "IEEE IS Proceedings Series",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "223--228",
booktitle = "2020 IEEE 10th International Conference on Intelligent Systems (IS)",
address = "United States",
note = "2020 IEEE 10th International Conference on Intelligent Systems ; Conference date: 28-08-2020 Through 30-08-2020",
}