Initial results from using an intelligent system to analyse powered wheelchair users’ data

Malik Haddad; David Sanders; Martin Langner; Peter Osagie Omoarebun; Mohamad Thabet; Alexander Gegov

doi:10.1109/IS48319.2020.9200161

Initial results from using an intelligent system to analyse powered wheelchair users’ data

Malik Haddad, David Sanders, Martin Langner, Peter Osagie Omoarebun, Mohamad Thabet, Alexander Gegov

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

218 Downloads (Pure)

Abstract

Research in this paper presents a technique to collect powered wheelchair users’ data using an intelligent system. Python programming language is used to create a program that will collect data for future analysis. The collected data considers driving session details, medication administered that can affect driving ability, and the type of input devices used to control a powered wheelchair. Data is collected on a Raspberry Pi microcomputer and is sent after each session via email. Data is placed in the body of the emails and in an attached file. Data will be used for future analysis and will be considered as a training data set to train an intelligent system to predict future route patterns for different wheelchair users. In addition, data will be used to analyze the ability of a user to operate their wheelchair, and monitor users’ progress from one session to another, compare the progress of different users with the same type of disability and identify the most suitable input device for each user and route.

Original language	English
Title of host publication	2020 IEEE 10th International Conference on Intelligent Systems (IS)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	241-245
ISBN (Electronic)	978-1-7281-5456-5
ISBN (Print)	978-1-7281-5457-2
DOIs	https://doi.org/10.1109/IS48319.2020.9200161
Publication status	Published - 18 Sept 2020
Event	2020 IEEE 10th International Conference on Intelligent Systems - Varna, Bulgaria Duration: 28 Aug 2020 → 30 Aug 2020

Publication series

Name	IEEE IS Proceedings Series
Publisher	IEEE
ISSN (Print)	1541-1672

Conference

Conference	2020 IEEE 10th International Conference on Intelligent Systems
Country/Territory	Bulgaria
City	Varna
Period	28/08/20 → 30/08/20

Keywords

RCUK
EPSRC
EP/S005927/1

Access to Document

10.1109/IS48319.2020.9200161

Initial results from using an intelligent system
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Accepted author manuscript (Post-print), 837 KB

Project Data EPSRC EP/S005927/1 Case study 1 Session 4
Haddad, M. (Creator) & Sanders, D. (Creator), University of Portsmouth, 13 Feb 2020
DOI: 10.17029/b96cc3d2-3f9a-4cc3-98fa-3099b269feb5
Dataset

File
Project Data EPSRC EP/S005927/1 Case study 1 Session 3
Haddad, M. (Creator) & Sanders, D. (Creator), University of Portsmouth, 13 Feb 2020
DOI: 10.17029/17cabd02-eff4-4722-ac7c-7f60f10a0d19
Dataset

File
Project Data EPSRC EP/S005927/1 Case study 1 Session 1
Haddad, M. (Creator) & Sanders, D. (Creator), University of Portsmouth, 13 Feb 2020
DOI: 10.17029/4b73f2b5-e725-4dda-8325-352093aca84b
Dataset

File
Project Data EPSRC EP/S005927/1 Case study 1 Session 2
Haddad, M. (Creator) & Sanders, D. (Creator), University of Portsmouth, 13 Feb 2020
DOI: 10.17029/4969d7f5-f721-4fbb-a738-7048f087e3e9
Dataset

File

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

File

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

Cite this

Haddad, M., Sanders, D., Langner, M., Omoarebun, P. O., Thabet, M., & Gegov, A. (2020). Initial results from using an intelligent system to analyse powered wheelchair users’ data. In 2020 IEEE 10th International Conference on Intelligent Systems (IS) (pp. 241-245). (IEEE IS Proceedings Series). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IS48319.2020.9200161

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title = "Initial results from using an intelligent system to analyse powered wheelchair users{\textquoteright} data",

abstract = "Research in this paper presents a technique to collect powered wheelchair users{\textquoteright} data using an intelligent system. Python programming language is used to create a program that will collect data for future analysis. The collected data considers driving session details, medication administered that can affect driving ability, and the type of input devices used to control a powered wheelchair. Data is collected on a Raspberry Pi microcomputer and is sent after each session via email. Data is placed in the body of the emails and in an attached file. Data will be used for future analysis and will be considered as a training data set to train an intelligent system to predict future route patterns for different wheelchair users. In addition, data will be used to analyze the ability of a user to operate their wheelchair, and monitor users{\textquoteright} progress from one session to another, compare the progress of different users with the same type of disability and identify the most suitable input device for each user and route.",

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

author = "Malik Haddad and David Sanders and Martin Langner and Omoarebun, {Peter Osagie} and Mohamad Thabet and Alexander Gegov",

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doi = "10.1109/IS48319.2020.9200161",

language = "English",

isbn = "978-1-7281-5457-2",

series = "IEEE IS Proceedings Series",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Haddad, M, Sanders, D, Langner, M, Omoarebun, PO, Thabet, M & Gegov, A 2020, Initial results from using an intelligent system to analyse powered wheelchair users’ data. in 2020 IEEE 10th International Conference on Intelligent Systems (IS). IEEE IS Proceedings Series, Institute of Electrical and Electronics Engineers Inc., pp. 241-245, 2020 IEEE 10th International Conference on Intelligent Systems, Varna, Bulgaria, 28/08/20. https://doi.org/10.1109/IS48319.2020.9200161

Initial results from using an intelligent system to analyse powered wheelchair users’ data. / Haddad, Malik; Sanders, David; Langner, Martin et al.
2020 IEEE 10th International Conference on Intelligent Systems (IS). Institute of Electrical and Electronics Engineers Inc., 2020. p. 241-245 (IEEE IS Proceedings Series).

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

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AU - Sanders, David

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AU - Omoarebun, Peter Osagie

AU - Thabet, Mohamad

AU - Gegov, Alexander

PY - 2020/9/18

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Initial results from using an intelligent system to analyse powered wheelchair users’ data

Abstract

Publication series

Conference

Keywords

Access to Document

Fingerprint

Datasets

Project Data EPSRC EP/S005927/1 Case study 1 Session 4

Project Data EPSRC EP/S005927/1 Case study 1 Session 3

Project Data EPSRC EP/S005927/1 Case study 1 Session 1

Project Data EPSRC EP/S005927/1 Case study 1 Session 2

Projects

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

Prizes

Top two per cent of researchers in the world

Cite this