Gillham, Michael, Pepper, Matthew G., Kelly, Stephen W., Howells, Gareth (2017) Feature determination from powered wheelchair user joystick input characteristics for adapting driving assistance. Wellcome Open Research, 2 . Article Number 93. ISSN 2398-502X. (doi:10.12688/wellcomeopenres.12280.3) (KAR id:65459)
PDF
Publisher pdf
Language: English
This work is licensed under a Creative Commons Attribution 4.0 International License.
|
|
Download this file (PDF/6MB) |
Preview |
Request a format suitable for use with assistive technology e.g. a screenreader | |
Official URL: https://doi.org/10.12688/wellcomeopenres.12280.3 |
Abstract
Background: Many powered wheelchair users find their medical condition and
their ability to drive the wheelchair will change over time. In order to maintain
their independent mobility, the powered chair will require adjustment over time
to suit the user's needs, thus regular input from healthcare professionals is
required. These limited resources can result in the user having to wait weeks
for appointments, resulting in the user losing independent mobility,
consequently affecting their quality of life and that of their family and carers. In
order to provide an adaptive assistive driving system, a range of features need
to be identified which are suitable for initial system setup and can automatically
provide data for re-calibration over the long term.
Methods: A questionnaire was designed to collect information from powered
wheelchair users with regard to their symptoms and how they changed over
time. Another group of volunteer participants were asked to drive a test platform
and complete a course which represented manoeuvring in a very confined
space as quickly as possible. Two of those participants were also monitored
over a longer period in their normal home daily environment. Features, thought
to be suitable, were examined using pattern recognition classifiers to determine
their suitability for identifying the changing user input over time.
Results: The results are not designed to provide absolute insight into the
individual user behaviour, as no ground truth of their ability has been
determined, they do nevertheless demonstrate the utility of the measured
features to provide evidence of the users’ changing ability over time whilst
driving a powered wheelchair.
Conclusions: Determining the driving features and adjustable elements
provides the initial step towards developing an adaptable assistive technology
for the user when the ground truths of the individual and their machine have
been learned by a smart pattern recognition system
Item Type: | Article |
---|---|
DOI/Identification number: | 10.12688/wellcomeopenres.12280.3 |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Michael Gillham |
Date Deposited: | 14 Dec 2017 16:17 UTC |
Last Modified: | 05 Nov 2024 11:02 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/65459 (The current URI for this page, for reference purposes) |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):