Title
User modeling and command language adapted for driving an intelligent wheelchair
Abstract
The importance and concern given to the autonomy and independence of elderly people and patients suffering from some kind of disability has been growing significantly in the last few decades. Intelligent wheelchairs (IW) are technologies that can increase the autonomy and independence of this kind of population and are nowadays a very active research area. This paper presents a Data Analysis System (DAS) that provides an adapted command language to an user of the IW. This command language is a set of input sequences that can be created using inputs from an input device or a combination of the inputs available in a multimodal interface. The results show that there are statistical evidences to affirm that the mean of the evaluation of the DAS is higher than the mean of the evaluation of the command language recommend by the health specialist (p value = 0.002) with a sample of 11 cerebral palsy users. This work demonstrates that it is possible to adapt an intelligent wheelchair interface to the user even when the users present heterogeneous and severe physical constraints.
Year
DOI
Venue
2014
10.1109/ICARSC.2014.6849779
ICARSC
Keywords
Field
DocType
geriatrics,handicapped aids,user modelling,wheelchairs,command language,data analysis system,elderly people,intelligent wheelchairs,multimodal interface,user modeling,intelligent wheelchair,algorithm design and analysis,artificial intelligence,data analysis,mathematical model
Wheelchair,Population,Computer science,Autonomy,Command language,Human–computer interaction,User modeling,Artificial intelligence,Input device
Conference
ISSN
Citations 
PageRank 
2573-9360
1
0.37
References 
Authors
3
3
Name
Order
Citations
PageRank
Faria, B.M.110.37
Reis, L.P.210.37
Nuno Lau38112.70