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

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

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Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials, Volume 31, Number 11(1) (2019)
Copyright(C) MYU K.K.
pp. 3465-3482
S&M2024 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2019.2482
Published: November 8, 2019

Application of IoT in the Prevention of Carbon Monoxide Poisoning [PDF]

Wei-Ling Hsu, Chih-Yuan Ho, Chiu-Kuo Liang, Yan-Chyuan Shiau, Hung-Nien Hsieh, and Shu-Chen Lai

(Received May 25, 2019; Accepted October 8, 2019)

Keywords: carbon monoxide poisoning, Line-based notification system, Internet of Things (IoT), Arduino

Because carbon monoxide (CO) is a colorless and odorless gas, symptoms of CO poisoning are difficult to recognize, making CO a hidden killer in home environments. To prevent CO poisoning, we used artificial intelligence and Internet of Things (IoT) technology to develop a CO poisoning prevention system with the following functional features: (1) a CO sensor, which was installed in the bathroom at home and immediately activated to warn the household when the CO concentration was excessively high; (2) an electric window opener and a fan, which when activated performed forced ventilation and thereby reduced CO concentration; (3) a device that cut off the gas supply; (4) a Line application that notified family members and signaled the community management center to conduct emergency rescue operations; and (5) a mechanism for unlocking the door to allow people to enter for emergency rescue. The obtained results may help reduce the number of CO poisoning cases and casualties in the winter in Taiwan.

Corresponding author: Yan-Chyuan Shiau


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

Cite this article
Wei-Ling Hsu, Chih-Yuan Ho, Chiu-Kuo Liang, Yan-Chyuan Shiau, Hung-Nien Hsieh, and Shu-Chen Lai, Application of IoT in the Prevention of Carbon Monoxide Poisoning, Sens. Mater., Vol. 31, No. 11, 2019, p. 3465-3482.



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