Indoor air quality monitoring system for proactive control of respiratory infectious diseases: Poster abstract

Yao Hua Ho, Pei En Li, Ling Jyh Chen, Yu Lun Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Disease surveillance is essential for the control of flu and respiratory infectious diseases including the novel coronavirus disease (COVID-19). Indoor air quality monitoring has been shown effective in understanding the effectiveness of airflow and circulation indoors to reduce the risk of infectious diseases. In this project, we developed low-cost indoor air quality monitoring devices and systems to tackle the disease surveillance problem. The monitoring device consists of a set of air quality sensors. By strategic deployment and real-time data analysis, the system is able to yield insightful air circulation information indoors. The real-time data analysis is performed on air quality for the indoor ventilation using Long Short-Term Memory (LSTM) on sensed data. A series of user-friendly visualization interfaces and chatbot applications are designed to interact with users and ensure the successful delivery of infection control information. Finally, we work closely with the Taiwan Centers for Disease Control (CDC) and conduct field experiments in 15 locations including hospitals, long-term care centers, schools with total of 144 IAQ devices.

Original languageEnglish
Title of host publicationSenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems
PublisherAssociation for Computing Machinery, Inc
Pages693-694
Number of pages2
ISBN (Electronic)9781450375900
DOIs
Publication statusPublished - 2020 Nov 16
Event18th ACM Conference on Embedded Networked Sensor Systems, SenSys 2020 - Virtual, Online, Japan
Duration: 2020 Nov 162020 Nov 19

Publication series

NameSenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems

Conference

Conference18th ACM Conference on Embedded Networked Sensor Systems, SenSys 2020
CountryJapan
CityVirtual, Online
Period2020/11/162020/11/19

Keywords

  • indoor air quality
  • internet of thing
  • respiratory disease

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Indoor air quality monitoring system for proactive control of respiratory infectious diseases: Poster abstract'. Together they form a unique fingerprint.

Cite this