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Home Automation System Controlled Through Brain Activity

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Computers Helping People with Special Needs (ICCHP-AAATE 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13342))

Abstract

Brain-computer interface (BCI) technology allows brain activity to be used as a communication channel without the need for muscle activity. Therefore, this technology could be suitable for patients with severe muscular impairments. However, BCI systems have not been easily adapted to control external devices. Therefore, the aim of the present work is to control a home automation system through a BCI that allows the construction of voice commands. Six healthy users have tested the proposed system. The controlled appliances were: WhatsApp, Spotify, Google Nest, smart light bulb, smart plug (to turn on/off a radio) and an infrared controller (to control a TV and an air conditioner). Participants controlled the system for approximately 32 min, with an accuracy of about 80%. In definitive, it has been successfully demonstrated that the use of a BCI system for home automation control could be implemented in a flexible way and could be adapted to the needs of a user.

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Acknowledgements

This research was funded in part by the Spanish Ministry of Science, Innovation, and Universities (Project SICCAU, reference: RTI2018-100912-B-I00), by the European fund ERDF, and by the University of Malaga (Universidad de Málaga). Moreover, the authors would like to thank all participants for their cooperation.

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Authors and Affiliations

  1. Departamento de Tecnología Electrónica, ETSI Telecomunicación, Universidad de Málaga, 35 Louis Pasteur Boulevard, 29071, Malaga, Spain

    Francisco Velasco-Álvarez, Álvaro Fernández-Rodríguez & Ricardo Ron-Angevin

Authors
  1. Francisco Velasco-Álvarez
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  2. Álvaro Fernández-Rodríguez
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  3. Ricardo Ron-Angevin
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Corresponding author

Correspondence to Ricardo Ron-Angevin .

Editor information

Editors and Affiliations

  1. Johannes Kepler University, Linz, Austria

    Klaus Miesenberger

  2. National and Kapodistrian University of Athens, Athens, Greece

    Georgios Kouroupetroglou

  3. European University Cyprus, Engomi, Cyprus

    Katerina Mavrou

  4. University of California at Santa Cruz, Santa Cruz, CA, USA

    Roberto Manduchi

  5. Politecnico di Milano, Milan, Italy

    Mario Covarrubias Rodriguez

  6. Masaryk University, Brno, Czech Republic

    Petr Penáz

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Velasco-Álvarez, F., Fernández-Rodríguez, Á., Ron-Angevin, R. (2022). Home Automation System Controlled Through Brain Activity. In: Miesenberger, K., Kouroupetroglou, G., Mavrou, K., Manduchi, R., Covarrubias Rodriguez, M., Penáz, P. (eds) Computers Helping People with Special Needs. ICCHP-AAATE 2022. Lecture Notes in Computer Science, vol 13342. Springer, Cham. https://doi.org/10.1007/978-3-031-08645-8_13

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  • DOI: https://doi.org/10.1007/978-3-031-08645-8_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-08644-1

  • Online ISBN: 978-3-031-08645-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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