@inproceedings{642a400fec8042f1ae4d7f31586cae8c,
title = "Intelligent control of the steering for a powered wheelchair using a microcomputer",
abstract = "The research presented in this paper describes a new architecture for controlling powered wheelchairs. A Raspberry Pi microcomputer is considered to assist in controlling direction. A Raspberry Pi is introduced between user input switches and powered wheelchair motors to create an intelligent Human Machine Interface (HCI). An electronic circuit is designed that consists of an ultrasonic sensor array and a set of control relays. The sensors delivered information about obstructions in the surrounding environment of the wheelchair. Python programming language was used to create a program that digitized the user switches output and assessed information provided by the ultrasonic sensor array. The program was installed on a Raspberry Pi and the Raspberry Pi controlled power delivered to the motors. Tests were conducted and results showed that the new system successfully assisted a wheelchair user in avoiding obstacles. The new architecture can be used to intelligently interface any input device or sensor system to powered wheelchair.",
author = "Malik Haddad and David Sanders and Martin Langner and Nils Bausch and Mohamad Thabet and Alexander Gegov and Giles Tewkesbury and Favour Ikwan",
year = "2020",
month = aug,
day = "25",
doi = "10.1007/978-3-030-55190-2_44",
language = "Undefined",
isbn = "978-3-030-55189-6",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer International Publishing AG",
pages = "594--603",
editor = "Kohei Arai and Supriya Kapoor and Rahul Bhatia",
booktitle = "Intelligent Systems and Applications",
address = "Switzerland",
}