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

Published: 16 November 2020 Publication History

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.

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Cited By

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  • (2024)Influence of Indoor Conditions on Sick Building Syndrome: A Data-Driven InvestigationInformation Technology and Systems10.1007/978-3-031-54235-0_5(46-57)Online publication date: 27-Feb-2024
  • (2022)Max Fast Fourier Transform (maxFFT) Clustering Approach for Classifying Indoor Air QualityAtmosphere10.3390/atmos1309137513:9(1375)Online publication date: 27-Aug-2022
  • (2022)An improved air quality and climate control monitoring system using fuzzy logic for enclosed areasJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-022-03814-z14:5(6339-6347)Online publication date: 28-Mar-2022
  • Show More Cited By

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    cover image ACM Conferences
    SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems
    November 2020
    852 pages
    ISBN:9781450375900
    DOI:10.1145/3384419
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 16 November 2020

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    Author Tags

    1. indoor air quality
    2. internet of thing
    3. respiratory disease

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    • Taiwan Centers for Disease Control (CDC) Technology Research Project

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    Overall Acceptance Rate 174 of 867 submissions, 20%

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    Cited By

    View all
    • (2024)Influence of Indoor Conditions on Sick Building Syndrome: A Data-Driven InvestigationInformation Technology and Systems10.1007/978-3-031-54235-0_5(46-57)Online publication date: 27-Feb-2024
    • (2022)Max Fast Fourier Transform (maxFFT) Clustering Approach for Classifying Indoor Air QualityAtmosphere10.3390/atmos1309137513:9(1375)Online publication date: 27-Aug-2022
    • (2022)An improved air quality and climate control monitoring system using fuzzy logic for enclosed areasJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-022-03814-z14:5(6339-6347)Online publication date: 28-Mar-2022
    • (2021)Applications of Technological Solutions in Primary Ways of Preventing Transmission of Respiratory Infectious Diseases—A Systematic Literature ReviewInternational Journal of Environmental Research and Public Health10.3390/ijerph18201076518:20(10765)Online publication date: 14-Oct-2021

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