Patient Classification and Automatic Configuration of an Intelligent Wheelchair

  • Brígida Mónica Faria
  • Luís Paulo Reis
  • Nuno Lau
  • João Couto Soares
  • Sérgio Vasconcelos
Part of the Communications in Computer and Information Science book series (CCIS, volume 358)


The access to instruments that allow higher autonomy to people is increasing and the scientific community is giving special attention on designing and developing such systems. Intelligent Wheelchairs (IW) are an example of how the knowledge on robotics and artificial intelligence may be applied to this field. IWs can have different interfaces and multimodal interfaces enabling several inputs such as head movements, joystick, facial expressions and voice commands. This paper describes the foundations for creating a simple procedure for extracting user profiles, which can be used to adequately select the best IW command mode for each user. The methodology consists on an interactive wizard composed by a flexible set of simple tasks presented to the user, and a method for extracting and analyzing the user’s execution of those tasks. The results showed that it is possible to extract simple user profiles, using the proposed method.


Classification Patient Intelligent Wheelchair Knowledge Discovery 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Brígida Mónica Faria
    • 1
    • 2
  • Luís Paulo Reis
    • 3
    • 4
  • Nuno Lau
    • 1
  • João Couto Soares
    • 4
  • Sérgio Vasconcelos
    • 4
  1. 1.Dep. Elect., Telecomunicações e Informática (DETI/UA), Inst. Eng. Electrónica e Telemática de Aveiro (IEETA)Universidade de AveiroAveiroPortugal
  2. 2.Escola Superior de Tecnologia da Saúde do PortoInstituto Politécnico do Porto (ESTSP/IPP)Portugal
  3. 3.Escola de Engenharia da Universidade do Minho - DSIUniversidade do Minho (EEUM/DSI)GuimarãesPortugal
  4. 4.Laboratório de Inteligência Artificial e Ciência de Computadores (LIACC)Universidade do PortoPortoPortugal

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