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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

54 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 languageEnglish
Title of host publication2020 IEEE 10th International Conference on Intelligent Systems (IS)
PublisherInstitute of Electrical and Electronics Engineers
Pages241-245
ISBN (Electronic)978-1-7281-5456-5
ISBN (Print)978-1-7281-5457-2
DOIs
Publication statusPublished - 18 Sep 2020
Event2020 IEEE 10th International Conference on Intelligent Systems - Varna, Bulgaria
Duration: 28 Aug 202030 Aug 2020

Publication series

NameIEEE IS Proceedings Series
PublisherIEEE
ISSN (Print)1541-1672

Conference

Conference2020 IEEE 10th International Conference on Intelligent Systems
CountryBulgaria
CityVarna
Period28/08/2030/08/20

Keywords

  • RCUK
  • EPSRC
  • EP/S005927/1

Fingerprint

Dive into the research topics of 'Initial results from using an intelligent system to analyse powered wheelchair users’ data'. Together they form a unique fingerprint.

Cite this