Detection of COVID-19 Through Thermal and Voice Sensing Using Smartphone

Zeyu Wang, Yuhua Guo, Tianqi Xia, Boyuan Ye, Pushpendu Kar

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

Since the end of 2019, the world has been caught in the crisis of the COVID-19 which is a serious epidemic disease. This paper seeks to come up with a fast and efficient COVID-19 detection and monitoring easy to use system which can be used in the facilities of densely populated areas, such as community centers and school clinics, to quickly identify suspected COVID-19 patients. This system could detect the probability of a person getting infected by COVID-19 using an android smartphone and thermal camera. Three types of data are collected from users: breathe sound, thermal video, and health status. Generally, the breathe audio and thermal video are preprocessed into two-time series, which indicate the breath status of the user. Then, the two series are inputted into the Bidirectional Gated Recurrent Unit (BI-GRU) neural network model separately to get the infection rates. Since the real data is difficult to get due to privacy reasons, a synthetic dataset is generated based on mathematical equations to train the model. For health status, the application requires the user to fill a questionnaire and calculates an infection rate through a medical prediction model. Finally, the two values from the machine learning model and the infection rate from the user report are added together with weight to calculate the final predictive infection rate.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE/ACIS 22nd International Conference on Computer and Information Science, ICIS 2022
EditorsZheng'an Yao, Simon Xu, Jixin Ma, Wencai Du, Wei Lui
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2-7
Number of pages6
ISBN (Electronic)9781665494632
DOIs
Publication statusPublished - 2022
Event22nd IEEE/ACIS International Conference on Computer and Information Science, ICIS 2022 - Zhuhai, China
Duration: 26 Jun 202228 Jun 2022

Publication series

NameProceedings - 2022 IEEE/ACIS 22nd International Conference on Computer and Information Science, ICIS 2022

Conference

Conference22nd IEEE/ACIS International Conference on Computer and Information Science, ICIS 2022
Country/TerritoryChina
CityZhuhai
Period26/06/2228/06/22

Keywords

  • breathing pattern
  • COVID-19
  • deep learning
  • health screening
  • ther-mal imaging

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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