A Review on 3D Augmented Reality Design Technique and Inward Leakage Testing on Protective Face Mask

Protective face mask identification is essential today to users as it is a prominent protective wearable to shield from being infected by Covid-19 viruses. Protective face masks consist of layers of fibers that can capture large respiratory droplets and microscopic particles such as viruses or dust....

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發表在:Pertanika Journal of Science and Technology
主要作者: 2-s2.0-85139248248
格式: Review
語言:English
出版: Universiti Putra Malaysia Press 2022
在線閱讀:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139248248&doi=10.47836%2fpjst.30.4.19&partnerID=40&md5=3d022ddf8d09e2e50ecdc66e2eb95469
id Kamaluddin N.A.; Kassim M.; Shahbudin S.
spelling Kamaluddin N.A.; Kassim M.; Shahbudin S.
2-s2.0-85139248248
A Review on 3D Augmented Reality Design Technique and Inward Leakage Testing on Protective Face Mask
2022
Pertanika Journal of Science and Technology
30
4
10.47836/pjst.30.4.19
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139248248&doi=10.47836%2fpjst.30.4.19&partnerID=40&md5=3d022ddf8d09e2e50ecdc66e2eb95469
Protective face mask identification is essential today to users as it is a prominent protective wearable to shield from being infected by Covid-19 viruses. Protective face masks consist of layers of fibers that can capture large respiratory droplets and microscopic particles such as viruses or dust. Thus, mask filtration efficiency results depend on the materials used for each layer. Detail about mask description and efficiency are still anonymous to users, which is vital in this COVID-19. Therefore, this paper reviews designing 3D augmented reality for the protective mask with its detail parameter and mask sizing recommendation on android mobile. About 73 articles on the protective face mask, 3D augmented reality modeling, masks inward leakage testing, breathing resistance, and measuring faces have been reviewed. The result examines the existing protective face mask, inward leakage testing parameter, breathing resistance parameters, 3D modeling techniques, mobile applications, and the application used for measuring faces. The identified result shows six recent and familiar masks with 8% of arithmetic mean for inward leakage testing. The best flow efficiency is determined a 0.3 Microns bigger than 95%. The result also shows a detailed parameter for inward leakage testing in terms of inhalation resistance and flow rate. The comparison for 3D AR parameters is identified for application type, evaluated parameter, technical support parameter, AR platform, and software. This research is significant for developing AR mobile applications that ease and transparency information to the community for safety and health issues in Malaysia. © Universiti Putra Malaysia Press.
Universiti Putra Malaysia Press
1287680
English
Review
All Open Access; Hybrid Gold Open Access
author 2-s2.0-85139248248
spellingShingle 2-s2.0-85139248248
A Review on 3D Augmented Reality Design Technique and Inward Leakage Testing on Protective Face Mask
author_facet 2-s2.0-85139248248
author_sort 2-s2.0-85139248248
title A Review on 3D Augmented Reality Design Technique and Inward Leakage Testing on Protective Face Mask
title_short A Review on 3D Augmented Reality Design Technique and Inward Leakage Testing on Protective Face Mask
title_full A Review on 3D Augmented Reality Design Technique and Inward Leakage Testing on Protective Face Mask
title_fullStr A Review on 3D Augmented Reality Design Technique and Inward Leakage Testing on Protective Face Mask
title_full_unstemmed A Review on 3D Augmented Reality Design Technique and Inward Leakage Testing on Protective Face Mask
title_sort A Review on 3D Augmented Reality Design Technique and Inward Leakage Testing on Protective Face Mask
publishDate 2022
container_title Pertanika Journal of Science and Technology
container_volume 30
container_issue 4
doi_str_mv 10.47836/pjst.30.4.19
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139248248&doi=10.47836%2fpjst.30.4.19&partnerID=40&md5=3d022ddf8d09e2e50ecdc66e2eb95469
description Protective face mask identification is essential today to users as it is a prominent protective wearable to shield from being infected by Covid-19 viruses. Protective face masks consist of layers of fibers that can capture large respiratory droplets and microscopic particles such as viruses or dust. Thus, mask filtration efficiency results depend on the materials used for each layer. Detail about mask description and efficiency are still anonymous to users, which is vital in this COVID-19. Therefore, this paper reviews designing 3D augmented reality for the protective mask with its detail parameter and mask sizing recommendation on android mobile. About 73 articles on the protective face mask, 3D augmented reality modeling, masks inward leakage testing, breathing resistance, and measuring faces have been reviewed. The result examines the existing protective face mask, inward leakage testing parameter, breathing resistance parameters, 3D modeling techniques, mobile applications, and the application used for measuring faces. The identified result shows six recent and familiar masks with 8% of arithmetic mean for inward leakage testing. The best flow efficiency is determined a 0.3 Microns bigger than 95%. The result also shows a detailed parameter for inward leakage testing in terms of inhalation resistance and flow rate. The comparison for 3D AR parameters is identified for application type, evaluated parameter, technical support parameter, AR platform, and software. This research is significant for developing AR mobile applications that ease and transparency information to the community for safety and health issues in Malaysia. © Universiti Putra Malaysia Press.
publisher Universiti Putra Malaysia Press
issn 1287680
language English
format Review
accesstype All Open Access; Hybrid Gold Open Access
record_format scopus
collection Scopus
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