Mobile Application That Detects Covid-19 from Cough and Image Using Smartphone Recordings and Machine Learning

Karatas E., Adali B., Aydın Ö., Dalkılıç G.

2021 Innovations in Intelligent Systems and Applications Conference, ASYU 2021, Elazığ, Turkey, 6 - 08 October 2021, (Full Text) identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/asyu52992.2021.9598961
  • City: Elazığ
  • Country: Turkey
  • Keywords: android, audio processing, cough sound, machine learning, mobile application, pandemic, voice recording
  • Manisa Celal Bayar University Affiliated: Yes

Abstract

Digital transformation has caused many changes in the field of health, as in every field. People can follow their personal health status with various devices or applications. These applications collect data from the external environment and sensors placed on their bodies. Sound, photo and video can be processed with applications that can run on mobile phones. In this way, various inferences can be made about the personal health status. In this study, we proposed a project that includes a mobile application for the pandemic. In the mobile application, audio processing and Machine Learning algorithms are used. In this way, a support system has been created for disease detection by analyzing cough, which is one of the symptoms of Covid-19. Accuracy results of various methods used in the study are shared.