Edge AI for Covid-19 Detection Using Coughing

  1. J.A. Rincon 1
  2. Julian, V. 1
  3. C. Carrascosa 1
  1. 1 Universidad Politécnica de Valencia
    info

    Universidad Politécnica de Valencia

    Valencia, España

    ROR https://ror.org/01460j859

Libro:
Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings
  1. Hugo Sanjurjo González (coord.)
  2. Iker Pastor López (coord.)
  3. Pablo García Bringas (coord.)
  4. Héctor Quintián (coord.)
  5. Emilio Corchado (coord.)

Editorial: Springer International Publishing AG

ISBN: 978-3-030-86271-8,  978-3-030-86270-1

Año de publicación: 2021

Páginas: 576-587

Congreso: Hybrid Artificial Intelligent Systems (HAIS) (16. 2021. Bilbao)

Tipo: Aportación congreso

DIALNET GOOGLE SCHOLAR

Resumen

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.

Fuente de los datos: Dialnet