Title :
User modeling and command language adapted for driving an intelligent wheelchair
Author :
Faria, BriÌgida MoÌnica ; Reis, Luis P. ; Lau, Nuno
Author_Institution :
ESTSP/IPP - Escola Super. de Tecnol. da Saude do Porto, Inst. Politec. do Porto, Aveiro, Portugal
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.
Keywords :
geriatrics; handicapped aids; user modelling; wheelchairs; command language; data analysis system; elderly people; intelligent wheelchairs; multimodal interface; user modeling; Algorithm design and analysis; Artificial intelligence; Command languages; Data analysis; Equations; Mathematical model; Wheelchairs; command language; data analysis system; intelligent Wheelchair; user modeling;
Conference_Titel :
Autonomous Robot Systems and Competitions (ICARSC), 2014 IEEE International Conference on
Conference_Location :
Espinho
DOI :
10.1109/ICARSC.2014.6849779