Establishment of a fit prediction model of N95 respirator based on facial images

It is feasible to utilize computer-based facial recognition technology to rapidly recommend N95 respirators for medical personnel. Given the high level of accuracy achieved, the model demonstrates significant potential for practical application.

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Publication Details

Journal
Environmental Health and Preventive Medicine
Published
2025-01-01
DOI
https://doi.org/10.1265/ehpm.25-00258
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.00
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article

Establishment of a fit prediction model of N95 respirator based on facial images

Shengjin Wang, Can Cui, Changwei Luo, Jing Huang et al.
Environmental Health and Preventive Medicine
Non-Invasive Vital Sign Monitoring
article

Establishment of a fit prediction model of N95 respirator based on facial images

Shengjin Wang, Can Cui, Changwei Luo, Jing Huang, Guifang Wang
article en

Abstract

It is feasible to utilize computer-based facial recognition technology to rapidly recommend N95 respirators for medical personnel. Given the high level of accuracy achieved, the model demonstrates significant potential for practical application.

Environmental Health and Preventive MedicineVol. 30(0)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking Union Medical College Hospital (CN), Beijing YouAn Hospital (CN), Tsinghua University (CN)
Openalex Percentile: Top 61%
Non-Invasive Vital Sign Monitoring
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