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Semi-automatic Eye Movement-Controlled Wheelchair Using Low-Cost Embedded System

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Trends and Innovations in Information Systems and Technologies (WorldCIST 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1160))

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Abstract

An intelligent wheelchair prototype is presented, reusing old damaged equipment and incorporating low cost elements for repowering it. The system can be operated in manual mode (total user control) and semi-automatic depending on tasks to be performed and whether other secondary tasks are carried out (answering questions or picking up objects) as simulated in this experiment. When manual mode is executed, a coherence algorithm has been incorporated that allows the wheelchair to be guided with the eye movement and in the semi-automatic mode, system takes control when user do not execute a control action when an obstacle is about to crash with the chair. For a greater interaction between system and user, a basic, friendly and easy-to-use interface has been developed that empowers the performance of activities throughout this experiment. Participants selection, as well as the experimental tests performed are described in this document. The qualitative and quantitative results obtained allow to validate the efficiency of this system, as well as the satisfaction of the users through the respective tests.

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Author information

Authors and Affiliations

  1. Universidad Politécnica Salesiana, Quito, 170146, Ecuador

    Gustavo Caiza

  2. Universidad Técnica de Ambato, Ambato, 180103, Ecuador

    Cristina Reinoso

  3. Escuela Superior Politécnica de Chimborazo, Riobamba, 060155, Ecuador

    Henry Vallejo

  4. Universidad Técnica de Cotopaxi, Latacunga, 050102, Ecuador

    Mauro Albarracín & Edison P. Salazar

Authors
  1. Gustavo Caiza
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  2. Cristina Reinoso
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  3. Henry Vallejo
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  4. Mauro Albarracín
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  5. Edison P. Salazar
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Corresponding author

Correspondence to Cristina Reinoso .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. College of Engineering, The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

  3. FEUP, Universidade do Porto, Porto, Portugal

    Luís Paulo Reis

  4. DIMES, Università della Calabria, Arcavacata di Rende, Italy

    Sandra Costanzo

  5. Faculty of Electrical Engineering, University of Montenegro, Podgorica, Montenegro

    Irena Orovic

  6. Universidade Portucalense, Porto, Portugal

    Fernando Moreira

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Caiza, G., Reinoso, C., Vallejo, H., Albarracín, M., Salazar, E.P. (2020). Semi-automatic Eye Movement-Controlled Wheelchair Using Low-Cost Embedded System. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S., Orovic, I., Moreira, F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1160. Springer, Cham. https://doi.org/10.1007/978-3-030-45691-7_71

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