Intelligent control of the steering for a powered wheelchair using a microcomputer

Malik Haddad; David Sanders; Martin Langner; Nils Bausch; Mohamad Thabet; Alexander Gegov; Giles Tewkesbury; Favour Chidinma Ikwan

doi:10.1007/978-3-030-55190-2_44

Intelligent control of the steering for a powered wheelchair using a microcomputer

Malik Haddad, David Sanders, Martin Langner, Nils Bausch, Mohamad Thabet, Alexander Gegov, Giles Tewkesbury, Favour Chidinma Ikwan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

213 Downloads (Pure)

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.

Original language	English
Title of host publication	Intelligent Systems and Applications
Subtitle of host publication	Proceedings of the 2020 Intelligent Systems Conference (IntelliSys) Volume 3
Editors	Kohei Arai, Supriya Kapoor, Rahul Bhatia
Publisher	Springer
Pages	594-603
ISBN (Electronic)	978-3-030-55190-2
ISBN (Print)	978-3-030-55189-6
DOIs	https://doi.org/10.1007/978-3-030-55190-2_44
Publication status	Published - 25 Aug 2020
Event	Intelligent Systems Conference - London, United Kingdom Duration: 3 Sept 2020 → 4 Sept 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Publisher	Springer
Volume	1252
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	Intelligent Systems Conference
Abbreviated title	IntelliSys 2020
Country/Territory	United Kingdom
City	London
Period	3/09/20 → 4/09/20

Keywords

RCUK
EPSRC
EP/S005927/1

Access to Document

10.1007/978-3-030-55190-2_44

Intelligent Control of the Steering for a Powered Wheelchair Using a Microcomputer
This is a post-peer-review, pre-copyedit version of an article published in Advances in Intelligent Systems and Computing. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-030-55190-2_44.
Accepted author manuscript (Post-print), 698 KB

Using artificial intelligence to share control of a powered-wheelchair between a wheelchair user and an intelligent sensor system
Sanders, D., Gegov, A. & Haddad, M.
Engineering and Physical Sciences Research Council
1/11/18 → 1/11/22
Project: Research

File

Cite this

Haddad, M., Sanders, D., Langner, M., Bausch, N., Thabet, M., Gegov, A., Tewkesbury, G., & Ikwan, F. C. (2020). Intelligent control of the steering for a powered wheelchair using a microcomputer. In K. Arai, S. Kapoor, & R. Bhatia (Eds.), Intelligent Systems and Applications: Proceedings of the 2020 Intelligent Systems Conference (IntelliSys) Volume 3 (pp. 594-603). (Advances in Intelligent Systems and Computing; Vol. 1252). Springer. https://doi.org/10.1007/978-3-030-55190-2_44

Haddad, Malik ; Sanders, David ; Langner, Martin et al. / Intelligent control of the steering for a powered wheelchair using a microcomputer. Intelligent Systems and Applications: Proceedings of the 2020 Intelligent Systems Conference (IntelliSys) Volume 3. editor / Kohei Arai ; Supriya Kapoor ; Rahul Bhatia. Springer, 2020. pp. 594-603 (Advances in Intelligent Systems and Computing).

@inproceedings{cca7bfd2803f4aff9e482dde72e9713c,

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.",

keywords = "RCUK, EPSRC, EP/S005927/1",

author = "Malik Haddad and David Sanders and Martin Langner and Nils Bausch and Mohamad Thabet and Alexander Gegov and Giles Tewkesbury and Ikwan, {Favour Chidinma}",

year = "2020",

month = aug,

day = "25",

doi = "10.1007/978-3-030-55190-2_44",

language = "English",

isbn = "978-3-030-55189-6",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "594--603",

editor = "Kohei Arai and Supriya Kapoor and Rahul Bhatia",

booktitle = "Intelligent Systems and Applications",

note = "Intelligent Systems Conference, IntelliSys 2020 ; Conference date: 03-09-2020 Through 04-09-2020",

}

Haddad, M, Sanders, D, Langner, M, Bausch, N, Thabet, M, Gegov, A , Tewkesbury, G & Ikwan, FC 2020, Intelligent control of the steering for a powered wheelchair using a microcomputer. in K Arai, S Kapoor & R Bhatia (eds), Intelligent Systems and Applications: Proceedings of the 2020 Intelligent Systems Conference (IntelliSys) Volume 3. Advances in Intelligent Systems and Computing, vol. 1252, Springer, pp. 594-603, Intelligent Systems Conference, London, United Kingdom, 3/09/20. https://doi.org/10.1007/978-3-030-55190-2_44

Intelligent control of the steering for a powered wheelchair using a microcomputer. / Haddad, Malik; Sanders, David; Langner, Martin et al.
Intelligent Systems and Applications: Proceedings of the 2020 Intelligent Systems Conference (IntelliSys) Volume 3. ed. / Kohei Arai; Supriya Kapoor; Rahul Bhatia. Springer, 2020. p. 594-603 (Advances in Intelligent Systems and Computing; Vol. 1252).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Intelligent control of the steering for a powered wheelchair using a microcomputer

AU - Haddad, Malik

AU - Sanders, David

AU - Langner, Martin

AU - Bausch, Nils

AU - Thabet, Mohamad

AU - Gegov, Alexander

AU - Tewkesbury, Giles

AU - Ikwan, Favour Chidinma

PY - 2020/8/25

Y1 - 2020/8/25

N2 - 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.

AB - 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.

KW - RCUK

KW - EPSRC

KW - EP/S005927/1

U2 - 10.1007/978-3-030-55190-2_44

DO - 10.1007/978-3-030-55190-2_44

M3 - Conference contribution

SN - 978-3-030-55189-6

T3 - Advances in Intelligent Systems and Computing

SP - 594

EP - 603

BT - Intelligent Systems and Applications

A2 - Arai, Kohei

A2 - Kapoor, Supriya

A2 - Bhatia, Rahul

PB - Springer

T2 - Intelligent Systems Conference

Y2 - 3 September 2020 through 4 September 2020

ER -

Haddad M, Sanders D, Langner M, Bausch N, Thabet M, Gegov A et al. Intelligent control of the steering for a powered wheelchair using a microcomputer. In Arai K, Kapoor S, Bhatia R, editors, Intelligent Systems and Applications: Proceedings of the 2020 Intelligent Systems Conference (IntelliSys) Volume 3. Springer. 2020. p. 594-603. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-55190-2_44

Intelligent control of the steering for a powered wheelchair using a microcomputer

Abstract

Publication series

Conference

Keywords

Access to Document

Fingerprint

Projects

Using artificial intelligence to share control of a powered-wheelchair between a wheelchair user and an intelligent sensor system

Cite this