Intelligent user interface to control a powered wheelchair using infrared sensors

Malik Haddad; David Sanders; Giles Tewkesbury; Martin Clifford Langner; Sarinova Simandjuntak

doi:10.1007/978-3-030-82193-7_43

Intelligent user interface to control a powered wheelchair using infrared sensors

Malik Haddad, David Sanders, Giles Tewkesbury, Martin Clifford Langner, Sarinova Simandjuntak

School of Mechanical & Design Engineering

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

27 Downloads (Pure)

Abstract

This paper presents a new system to steer a powered wheelchair using a Sharp IR sensor and a Raspberry Pi. Interviews with occupational therapists, helpers and carers at Chailey Heritage Foundation/School revealed that clicking noises generated from closing switch contact used to operate powered wheelchairs disturbed the attention and reduced the focus of young wheelchair users having cognitive or physical disability. Also switches often slipped away and became unreachable. The new system replaced lever-switches used to steer powered wheelchairs by an electronic circuit. The circuit consisted of a Sharp IR sensor, Analogue to Digital converter, relays, and a Raspberry Pi. The sharp IR sensor detected movement in its range and the Raspberry Pi interpreted the data and generated commands to steer a powered wheelchair. Two modes were used to overcome the problem of sensors slipping from position: Click to Calibrate and Auto-Calibrate. A technical User Interface was created to modify sensitivity, user and detection settings. Practical testing showed the system behaved satisfactorily. It detected users’ voluntary movements and used them to steer a powered wheelchair and overcome the problem of switches slipping from position. Clinical trials will be conducted at Chailey Heritage Foundation.

Original language	English
Title of host publication	Proceedings of SAI Intelligent Systems Conference
Subtitle of host publication	IntelliSys 2021: Intelligent Systems and Applications
Editors	Kohei Arai
Publisher	Springer
Pages	640-649
Number of pages	10
ISBN (Electronic)	9783030821937
ISBN (Print)	9783030821920
DOIs	https://doi.org/10.1007/978-3-030-82193-7_43
Publication status	Published - 1 Jan 2022
Event	IntelliSys 2021 - Amsterdam, Netherlands Duration: 2 Sept 2021 → 3 Sept 2021

Publication series

Name	Lecture Notes in Networks and Systems
Volume	294
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	IntelliSys 2021
Country/Territory	Netherlands
City	Amsterdam
Period	2/09/21 → 3/09/21

Keywords

disabled
wheelchair
infrared sensor
user interface
RCUK
EPSRC
EP/S005927/1

Access to Document

10.1007/978-3-030-82193-7_43

MH - 01 IntelliSys Pure
This is a post-peer-review, pre-copyedit version of an article by Haddad M., Sanders D., Tewkesbury G., Langner M., Simandjuntak S. (2022) Intelligent User Interface to Control a Powered Wheelchair Using Infrared Sensors, published in Arai K. (eds) Intelligent Systems and Applications. IntelliSys 2021. Lecture Notes in Networks and Systems, vol 294. Springer, Cham. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-82193-7_43.
Accepted author manuscript (Post-print), 518 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

Intelligent User Interface to Control a Powered Wheelchair using Infrared Sensors
Malik Haddad (Speaker)
3 Sept 2021
Activity: Talk or presentation types › Oral presentation

File

Cite this

Haddad, M., Sanders, D., Tewkesbury, G., Langner, M. C., & Simandjuntak, S. (2022). Intelligent user interface to control a powered wheelchair using infrared sensors. In K. Arai (Ed.), Proceedings of SAI Intelligent Systems Conference: IntelliSys 2021: Intelligent Systems and Applications (pp. 640-649). (Lecture Notes in Networks and Systems; Vol. 294). Springer. https://doi.org/10.1007/978-3-030-82193-7_43

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title = "Intelligent user interface to control a powered wheelchair using infrared sensors",

abstract = "This paper presents a new system to steer a powered wheelchair using a Sharp IR sensor and a Raspberry Pi. Interviews with occupational therapists, helpers and carers at Chailey Heritage Foundation/School revealed that clicking noises generated from closing switch contact used to operate powered wheelchairs disturbed the attention and reduced the focus of young wheelchair users having cognitive or physical disability. Also switches often slipped away and became unreachable. The new system replaced lever-switches used to steer powered wheelchairs by an electronic circuit. The circuit consisted of a Sharp IR sensor, Analogue to Digital converter, relays, and a Raspberry Pi. The sharp IR sensor detected movement in its range and the Raspberry Pi interpreted the data and generated commands to steer a powered wheelchair. Two modes were used to overcome the problem of sensors slipping from position: Click to Calibrate and Auto-Calibrate. A technical User Interface was created to modify sensitivity, user and detection settings. Practical testing showed the system behaved satisfactorily. It detected users{\textquoteright} voluntary movements and used them to steer a powered wheelchair and overcome the problem of switches slipping from position. Clinical trials will be conducted at Chailey Heritage Foundation.",

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Haddad, M, Sanders, D , Tewkesbury, G, Langner, MC & Simandjuntak, S 2022, Intelligent user interface to control a powered wheelchair using infrared sensors. in K Arai (ed.), Proceedings of SAI Intelligent Systems Conference: IntelliSys 2021: Intelligent Systems and Applications. Lecture Notes in Networks and Systems, vol. 294, Springer, pp. 640-649, IntelliSys 2021, Amsterdam, Netherlands, 2/09/21. https://doi.org/10.1007/978-3-030-82193-7_43

Intelligent user interface to control a powered wheelchair using infrared sensors. / Haddad, Malik; Sanders, David ; Tewkesbury, Giles et al.
Proceedings of SAI Intelligent Systems Conference: IntelliSys 2021: Intelligent Systems and Applications. ed. / Kohei Arai. Springer, 2022. p. 640-649 (Lecture Notes in Networks and Systems; Vol. 294).

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

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ER -

Haddad M, Sanders D , Tewkesbury G, Langner MC, Simandjuntak S. Intelligent user interface to control a powered wheelchair using infrared sensors. In Arai K, editor, Proceedings of SAI Intelligent Systems Conference: IntelliSys 2021: Intelligent Systems and Applications. Springer. 2022. p. 640-649. (Lecture Notes in Networks and Systems). Epub 2021 Aug 4. doi: 10.1007/978-3-030-82193-7_43

Intelligent user interface to control a powered wheelchair using infrared sensors

Abstract

Publication series

Conference

Keywords

Access to Document

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Projects

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

Activities

Intelligent User Interface to Control a Powered Wheelchair using Infrared Sensors

Cite this