Mobile Application That Detects Covid-19 from Cough and Image Using Smartphone Recordings and Machine Learning
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Date
2021
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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. © 2021 IEEE.
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Keywords
Android (operating system) , Audio acoustics , Audio recordings , Audio signal processing , Health , Learning algorithms , Machine learning , Android , Audio processing , Cough sounds , Health status , Machine-learning , Mobile applications , Pandemic , Personal health , Smart phones , Voice recording , Mobile computing