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A Methodology for Creating an Adapted Command Language for Driving an Intelligent Wheelchair

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Abstract

Intelligent wheelchairs (IW) are technologies that can increase the autonomy and independence of elderly people and patients suffering from some kind of disability. Nowadays the intelligent wheelchairs and the human-machine studies are very active research areas. This paper presents a methodology and 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 generated command language is higher than the mean of the evaluation of the command language recommended 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.

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Authors and Affiliations

  1. Escola Superior Tecnologia de Saúde do Porto / Instituto Politécnico do Porto (ESTSP/IPP), Vila Nova de Gaia, Portugal

    Brígida Mónica Faria

  2. Laboratório de Inteligência Artificial e Ciência de Computadores (LIACC), Porto, Portugal

    Brígida Mónica Faria & Luís Paulo Reis

  3. Institute Engenharia, Electrónica e Telemática de Aveiro (IEETA), Aveiro, Portugal

    Brígida Mónica Faria & Nuno Lau

  4. Department de Sistemas de Informação, Escola de Engenharia da Universidade do Minho (DSI/EEUM), Guimarães, Portugal

    Luís Paulo Reis

  5. Department de Electrónica, Telecomunicações e Informática da Universidade de Aveiro (DETI/UA), Aveiro, Portugal

    Nuno Lau

Authors
  1. Brígida Mónica Faria
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  2. Luís Paulo Reis
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  3. Nuno Lau
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Correspondence to Brígida Mónica Faria.

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Faria, B.M., Reis, L.P. & Lau, N. A Methodology for Creating an Adapted Command Language for Driving an Intelligent Wheelchair. J Intell Robot Syst 80, 609–623 (2015). https://doi.org/10.1007/s10846-015-0194-2

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  • DOI: https://doi.org/10.1007/s10846-015-0194-2

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