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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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Sensors and Materials, Volume 31, Number 8(1) (2019)
Copyright(C) MYU K.K.
pp. 2451-2462
S&M1947 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2019.2405
Published: August 9, 2019

Smart iAIR System with Integration of the Internet of Things and Mobile Applications [PDF]

Bao Rong Chang, Hsiu-Fen Tsai, Hsiu-Ching Kuo, and Chien-Feng Huang

(Received April 11, 2019; Accepted June 20, 2019)

Keywords: iAIR system, mobile applications, IoT, air pollution monitoring, heart rate variability warning, intelligent relocation navigation

Commercially available crowdsourced air boxes have nonuniform distributions and cannot achieve suitable observation densities. As a result, current air quality data are limited to the vicinity of an observation station, rather than providing accurate actual data around a user. In this research, we propose the implementation of iAIR air pollution detection air boxes, which can be installed on air purifiers or air conditioners in large numbers and distributed over a wide area; this provides a real-time air pollution information map according to various air qualities and shows a higher resolution. The provided real-time information enables a user to immediately take appropriate response measures once poor air quality has been detected. When air quality degrades or the user’s heart rate exceeds the normal range, the smart iAIR system installed on a cloud service platform will transmit warning messages to a mobile app and a wearable personal smart wristband, and at the same time, activate the air purifier (or air conditioner) to improve the current air quality and advise the user to move to an environment with better air quality with guidance by an air navigation map.

Corresponding author: Hsiu-Fen Tsai, Chien-Feng Huang


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This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Bao Rong Chang, Hsiu-Fen Tsai, Hsiu-Ching Kuo, and Chien-Feng Huang, Smart iAIR System with Integration of the Internet of Things and Mobile Applications, Sens. Mater., Vol. 31, No. 8, 2019, p. 2451-2462.



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