Citation

Khamis, Abd Alghani and Idris, Aida and Abdellatif, Abdallah and Mohd Rom, Noor Ashikin and Khamis, Taha and Ab Karim, Mohd Sayuti and Janasekaran, Shamini and Abd Rashid, Rusdi (2023) Development and Performance Evaluation of an IoT-Integrated Breath Analyzer. International Journal of Environmental Research and Public Health, 20 (2). p. 1319. ISSN 1660-4601

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Abstract

Although alcohol consumption may produce effects that can be beneficial or harmful, alcohol consumption prevails among communities around the globe. Additionally, alcohol consumption patterns may be associated with several factors among communities and individuals. Numerous technologies and methods are implemented to enhance the detection and tracking of alcohol consumption, such as vehicle-integrated and wearable devices. In this paper, we present a cellular-based Internet of Things (IoT) implementation in a breath analyzer to enable data collection from multiple users via a single device. Cellular technology using hypertext transfer protocol (HTTP) was implemented as an IoT gateway. IoT integration enabled the direct retrieval of information from a database relative to the device and direct upload of data from the device onto the database. A manually developed threshold algorithm was implemented to quantify alcohol concentrations within a range from 0 to 200 mcg/100 mL breath alcohol content using electrochemical reactions in a fuel-cell sensor. Two data collections were performed: one was used for the development of the model and was split into two sets for model development and on-machine validation, and another was used as an experimental verification test. An overall accuracy of 98.16% was achieved, and relative standard deviations within the range from 1.41% to 2.69% were achieved, indicating the reliable repeatability of the results. The implication of this paper is that the developed device (an IoT-integrated breath analyzer) may provide practical assistance for healthcare representatives and researchers when conducting studies involving the detection and data collection of alcohol consumption patterns.

Item Type:	Article
Uncontrolled Keywords:	Alcohol detection, breath analyzer, Internet of Things, HTTP, GSM, cellular IoT, linear regression, fuel-cell sensors, alcohol in breath
Subjects:	B Philosophy. Psychology. Religion > BF Psychology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Management (FOM)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	01 Mar 2023 02:57
Last Modified:	01 Mar 2023 02:57
URII:	http://shdl.mmu.edu.my/id/eprint/11170

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