Computer Vision Algorithms to Drive Smart Wheelchairs

Malik Haddad, David Sanders, Giles Tewkesbury, Martin langner, Sanar Muhyaddin, Mohammed Ibrahim

2022

Abstract

This paper presents a novel approach to driving smart wheelchairs using Computer Vision algorithms. When a user makes a movement, the new approach identifies that movement and utilises it to control a smart wheelchair. An electronic circuit is created to connect a camera, a set of relays and a microcomputer. A programme was created using Python programming language. The program detects the movement of the user. Three algorithms for Computer-Vision algorithms are used: Background Subtraction, Python Imaging Library and Open Source Computer Vision (OpenCV) algorithm. The camera was pointed towards the user a body part used for operating the smart wheelchair. The new approach will detect and identify the movement, the programme will analyse the movement and control the smart wheelchair accordingly. Two User Interfaces were built: a simple User Interface to control the architecture and a technical interface to adjust sensitivity, movement detection settings and operation mode. Testing revealed that OpenCV produced the highest sensitivity and accuracy compared to the other algorithms considered in this paper. The new approach effectively identified voluntary movements and interpreted movements to commands used to drive a smart wheelchair. Future clinical tests will be performed at Chailey Heritage Foundation.

Paper Citation

in Harvard Style

Haddad M., Sanders D., Tewkesbury G., langner M., Muhyaddin S. and Ibrahim M. (2022). Computer Vision Algorithms to Drive Smart Wheelchairs. In Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC; ISBN 978-989-758-622-4, SciTePress, pages 80-85. DOI: 10.5220/0011903100003612

in Bibtex Style

@conference{isaic22,
author={Malik Haddad and David Sanders and Giles Tewkesbury and Martin langner and Sanar Muhyaddin and Mohammed Ibrahim},
title={Computer Vision Algorithms to Drive Smart Wheelchairs},
booktitle={Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC},
year={2022},
pages={80-85},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011903100003612},
isbn={978-989-758-622-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC
TI - Computer Vision Algorithms to Drive Smart Wheelchairs
SN - 978-989-758-622-4
AU - Haddad M.
AU - Sanders D.
AU - Tewkesbury G.
AU - langner M.
AU - Muhyaddin S.
AU - Ibrahim M.
PY - 2022
SP - 80
EP - 85
DO - 10.5220/0011903100003612
PB - SciTePress