Intelligent control and HCI for a powered wheelchair using a simple expert system and ultrasonic sensors

David Sanders; Malik Haddad; Peter Omoarebun; Favour Ikwan; John Chiverton; Shikun Zhou; Ian Rogers; Boriana Vatchova

doi:10.1007/978-3-030-55190-2_42

Intelligent control and HCI for a powered wheelchair using a simple expert system and ultrasonic sensors

David Sanders, Malik Haddad^*, Peter Omoarebun, Favour Ikwan, John Chiverton, Shikun Zhou, Ian Rogers, Boriana Vatchova

^*Corresponding author for this work

School of Computing

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

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Abstract

Intelligent control and human computer interaction is investigated for a powered wheelchair using a simple expert system and ultrasonic sensors. The aim is to make driving easier. Signals from sensors and joysticks are interpreted. The interpreted signals are mixed so that the systems collaborate with the human driver to improve their control over direction and speed. Ultrasonic sensors identify hazards and the system suggests a safer speed and direction. Results are presented from drivers completing a series of timed routes using joysticks to control wheelchairs both with a microcomputer and sensors assisting them and without. Recently published systems are used to contrast and compare results. The new system described in this paper consistently performed better. An additional result appears to be that the amount of support from the microcomputer and sensors should be altered depending on surroundings and situations. The research is part of a bigger research project to improve mobility and enhance the quality of life of disabled powered wheelchair users by increasing their self-reliance and self-confidence.

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	571-583
Number of pages	13
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_42
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

Disabled
Expert
Sensor
Smart
System
Ultrasonic
Wheelchair
RCUK
EPSRC
EP/S005927/1

Access to Document

10.1007/978-3-030-55190-2_42

Intelligent control post-print
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_42.
Accepted author manuscript (Post-print), 700 KB

Top two per cent of researchers in the world
Sanders, David (Recipient), 2 Nov 0001
Prize: National/international honour

Cite this

Sanders, D., Haddad, M., Omoarebun, P., Ikwan, F., Chiverton, J., Zhou, S., Rogers, I., & Vatchova, B. (2020). Intelligent control and HCI for a powered wheelchair using a simple expert system and ultrasonic sensors. In K. Arai, S. Kapoor, & R. Bhatia (Eds.), Intelligent Systems and Applications: Proceedings of the 2020 Intelligent Systems Conference (IntelliSys) Volume 3 (pp. 571-583). (Advances in Intelligent Systems and Computing; Vol. 1252). Springer. https://doi.org/10.1007/978-3-030-55190-2_42

Sanders, David ; Haddad, Malik ; Omoarebun, Peter et al. / Intelligent control and HCI for a powered wheelchair using a simple expert system and ultrasonic sensors. Intelligent Systems and Applications: Proceedings of the 2020 Intelligent Systems Conference (IntelliSys) Volume 3. editor / Kohei Arai ; Supriya Kapoor ; Rahul Bhatia. Springer, 2020. pp. 571-583 (Advances in Intelligent Systems and Computing).

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title = "Intelligent control and HCI for a powered wheelchair using a simple expert system and ultrasonic sensors",

abstract = "Intelligent control and human computer interaction is investigated for a powered wheelchair using a simple expert system and ultrasonic sensors. The aim is to make driving easier. Signals from sensors and joysticks are interpreted. The interpreted signals are mixed so that the systems collaborate with the human driver to improve their control over direction and speed. Ultrasonic sensors identify hazards and the system suggests a safer speed and direction. Results are presented from drivers completing a series of timed routes using joysticks to control wheelchairs both with a microcomputer and sensors assisting them and without. Recently published systems are used to contrast and compare results. The new system described in this paper consistently performed better. An additional result appears to be that the amount of support from the microcomputer and sensors should be altered depending on surroundings and situations. The research is part of a bigger research project to improve mobility and enhance the quality of life of disabled powered wheelchair users by increasing their self-reliance and self-confidence.",

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author = "David Sanders and Malik Haddad and Peter Omoarebun and Favour Ikwan and John Chiverton and Shikun Zhou and Ian Rogers and Boriana Vatchova",

year = "2020",

month = aug,

day = "25",

doi = "10.1007/978-3-030-55190-2_42",

language = "English",

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

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "571--583",

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

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Sanders, D, Haddad, M, Omoarebun, P, Ikwan, F, Chiverton, J , Zhou, S, Rogers, I & Vatchova, B 2020, Intelligent control and HCI for a powered wheelchair using a simple expert system and ultrasonic sensors. 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. 571-583, Intelligent Systems Conference, London, United Kingdom, 3/09/20. https://doi.org/10.1007/978-3-030-55190-2_42

Intelligent control and HCI for a powered wheelchair using a simple expert system and ultrasonic sensors. / Sanders, David; Haddad, Malik; Omoarebun, Peter 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. 571-583 (Advances in Intelligent Systems and Computing; Vol. 1252).

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

TY - GEN

T1 - Intelligent control and HCI for a powered wheelchair using a simple expert system and ultrasonic sensors

AU - Sanders, David

AU - Haddad, Malik

AU - Omoarebun, Peter

AU - Ikwan, Favour

AU - Chiverton, John

AU - Zhou, Shikun

AU - Rogers, Ian

AU - Vatchova, Boriana

PY - 2020/8/25

Y1 - 2020/8/25

N2 - Intelligent control and human computer interaction is investigated for a powered wheelchair using a simple expert system and ultrasonic sensors. The aim is to make driving easier. Signals from sensors and joysticks are interpreted. The interpreted signals are mixed so that the systems collaborate with the human driver to improve their control over direction and speed. Ultrasonic sensors identify hazards and the system suggests a safer speed and direction. Results are presented from drivers completing a series of timed routes using joysticks to control wheelchairs both with a microcomputer and sensors assisting them and without. Recently published systems are used to contrast and compare results. The new system described in this paper consistently performed better. An additional result appears to be that the amount of support from the microcomputer and sensors should be altered depending on surroundings and situations. The research is part of a bigger research project to improve mobility and enhance the quality of life of disabled powered wheelchair users by increasing their self-reliance and self-confidence.

AB - Intelligent control and human computer interaction is investigated for a powered wheelchair using a simple expert system and ultrasonic sensors. The aim is to make driving easier. Signals from sensors and joysticks are interpreted. The interpreted signals are mixed so that the systems collaborate with the human driver to improve their control over direction and speed. Ultrasonic sensors identify hazards and the system suggests a safer speed and direction. Results are presented from drivers completing a series of timed routes using joysticks to control wheelchairs both with a microcomputer and sensors assisting them and without. Recently published systems are used to contrast and compare results. The new system described in this paper consistently performed better. An additional result appears to be that the amount of support from the microcomputer and sensors should be altered depending on surroundings and situations. The research is part of a bigger research project to improve mobility and enhance the quality of life of disabled powered wheelchair users by increasing their self-reliance and self-confidence.

KW - Disabled

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KW - Sensor

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KW - Ultrasonic

KW - Wheelchair

KW - RCUK

KW - EPSRC

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M3 - Conference contribution

AN - SCOPUS:85090095134

SN - 978-3-030-55189-6

T3 - Advances in Intelligent Systems and Computing

SP - 571

EP - 583

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 -

Sanders D, Haddad M, Omoarebun P, Ikwan F, Chiverton J , Zhou S et al. Intelligent control and HCI for a powered wheelchair using a simple expert system and ultrasonic sensors. 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. 571-583. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-55190-2_42

Intelligent control and HCI for a powered wheelchair using a simple expert system and ultrasonic sensors

Abstract

Publication series

Conference

Keywords

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Top two per cent of researchers in the world

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