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Using artificial intelligence to share control of a powered-wheelchair between a wheelchair user and an intelligent sensor system
Sanders, David
(PI)
Gegov, Alexander
(CoI)
Haddad, Malik
(Team Member)
School of Computing
Faculty of Technology
Overview
Fingerprint
Research outputs
(27)
Datasets
(4)
Activities
(29)
Prizes
(5)
Research output
Research outputs per year
2018
2019
2020
2023
24
Conference contribution
3
Article
Research outputs per year
Research outputs per year
3 results
Publication Year, Title
(descending)
Publication Year, Title
(ascending)
Title
Type
Filter
Article
Search results
2020
Deep Learning architecture to assist with steering a powered wheelchair
Haddad, M. &
Sanders, D.
,
1 Dec 2020
,
In:
IEEE Transactions on Neural Systems and Rehabilitation Engineering.
28
,
12
,
p. 2987-2994
7 p.
, 9225000.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
learning
100%
architecture
100%
neural networks
100%
Desired Direction
100%
Deep Learning Method
100%
438
Downloads (Pure)
2019
Selecting a best compromise direction for a powered wheelchair using PROMETHEE
Haddad, M. J. M. &
Sanders, D.
,
1 Feb 2019
,
In:
IEEE Transactions on Neural Systems and Rehabilitation Engineering.
27
,
2
,
p. 228-235
8 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
decision making
100%
Desired Direction
100%
Decision-Making
100%
Powered Wheelchair
100%
evaluation
66%
445
Downloads (Pure)
2018
Non-model-based control of a wheeled vehicle pulling two trailers to provide early powered mobility and driving experiences
Sanders, D.
,
10 Jan 2018
,
In:
IEEE Transactions on Neural Systems and Rehabilitation Engineering.
26
,
1
,
p. 96-104
9 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
control
100%
mobility
100%
trains
100%
vehicles
100%
trailers
100%
265
Downloads (Pure)