Selecting a best compromise direction for a powered wheelchair using PROMETHEE
- Submitting institution
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University of Portsmouth
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12831048
- Type
- D - Journal article
- DOI
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10.1109/TNSRE.2019.2892587
- Title of journal
- IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Article number
- -
- First page
- 228
- Volume
- 27
- Issue
- 2
- ISSN
- 1534-4320
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
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1
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Work led to cheaper, safer systems, more mobility, policy and practice changes to improve care, new technical standards / clinical protocols and new professional standards. Simon Yates (Headmaster, Chailey Heritage School) can verify. Results applied at Chailey Heritage School and an engineer was seconded from Chailey to continue this research. Authors invited to present the research as a workshop at Intellisys20 (Amsterdam). Sanders awarded "Order of Mercy" / appointed League of Mercy Member in recognition of this work. Work received “Outstanding Innovation in digital health and social care” award at 2020 IET E&T International Innovation Awards.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -