Information Technology Reference
In-Depth Information
The second stage must be a supervised classification to use Machine Learning algorithms
in order to construct a model for automatic classification of new cases.
This paper mainly refers to the proposal of a set of tasks for extracting the required
information for generating user profiles. A preliminary study has been done with sev-
eral voluntaries, enabling to test the proposed methodology before going to the field
and acquiring information with disabled individuals. In fact, this will be the next step
of future work. The test set presented in this paper will be tested by a group of dis-
abled individuals, and the results of both experiments will be compared to check if the
performances of both populations are similar. Also, in order to collect feedback re-
garding the system usability, disabled users will be invited to drive the wheelchair in a
number of real and simulated scenarios.
Acknowledgements.
The authors would like to acknowledge to FCT - Portuguese
Science and Technology Foundation for the INTELLWHEELS project funding
(RIPD/ADA/109636/2009), for the PhD Scholarship FCT/SFRH/BD/44541/2008,
LIACC - Laboratório de Inteligência Artificial e de Computadores, DETI/UA - Dep.
Electrónica, Telecomunicações e Informática, IEETA - Instituto de Engenharia
Electrónica e Telemática de Aveiro and ESTSP/IPP - Escola Superior de Tecnologia
da Saúde Porto - IPP.
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