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International Conference on Hybrid Artificial Intelligence Systems

HAIS 2021: Hybrid Artificial Intelligent Systems pp 576–587Cite as

Edge AI for Covid-19 Detection Using Coughing

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12886))

Abstract

The emergence of the COVID-19 virus has placed the planet before one of the worst pandemics in 100 years. Early detection of the virus and vaccination have become the main weapons in the fight against the virus. In terms of detection, numerous alternatives have been proposed over the last one and a half years, including the use of artificial intelligence techniques. In this paper we propose the use of such techniques for virus detection using cough. The development of a low-cost device that incorporates the classification model has been proposed, facilitating its use anywhere without the need for connectivity.

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Notes

  1. 1.

    https://www.who.int/docs/default-source/coronaviruse/situation-reports/20210309_weekly_epi_update_30.pdf.

  2. 2.

    https://www.espressif.com/en/products/socs/esp32.

  3. 3.

    https://www.cuidevices.com/catalog/audio/microphones.

  4. 4.

    https://prodigytechno.com/i2s-protocol/.

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Acknowledgements

This work was partly supported by Universitat Politecnica de Valencia Research Grant PAID-10-19 and by Generalitat Valenciana (PROMETEO/2018/002).

Author information

Authors and Affiliations

  1. VRAIN, Valencian Research Institute for Artificial Intelligence, Universitat Politècnica de València, Valencia, Spain

    J. A. Rincon, V. Julian & C. Carrascosa

Authors
  1. J. A. Rincon
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  2. V. Julian
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  3. C. Carrascosa
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Corresponding author

Correspondence to J. A. Rincon .

Editor information

Editors and Affiliations

  1. University of Deusto, Bilbao, Spain

    Hugo Sanjurjo González

  2. University of Deusto, Bilbao, Spain

    Iker Pastor López

  3. University of Deusto, Bilbao, Spain

    Pablo García Bringas

  4. University of A Coruña, A Coruña, Spain

    Héctor Quintián

  5. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Rincon, J.A., Julian, V., Carrascosa, C. (2021). Edge AI for Covid-19 Detection Using Coughing. In: Sanjurjo González, H., Pastor López, I., García Bringas, P., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2021. Lecture Notes in Computer Science(), vol 12886. Springer, Cham. https://doi.org/10.1007/978-3-030-86271-8_48

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  • DOI: https://doi.org/10.1007/978-3-030-86271-8_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86270-1

  • Online ISBN: 978-3-030-86271-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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