{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T22:49:30Z","timestamp":1776811770831,"version":"3.51.2"},"reference-count":10,"publisher":"European Society of Computational Methods in Sciences and Engineering","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"published-print":{"date-parts":[[2023,12,15]]},"abstract":"<jats:p>Since the outbreak of COVID-19, wearing masks outside has become a daily habit. In view of the current problems of low accuracy and lack of non-standard detection of mask wearing, a detection method for mask wearing based on key points is proposed. First, the YOLOv7_tiny algorithm is used to detect whether the face is wearing a mask, and the resulting ROI (Region of Interest) is scaled to a fixed size. Then, the key point detection algorithm was adopted to extract 68 key points of the face from the ROI region, and the image segmentation of the mask area is performed simultaneously. Finally, the correspondence between face landmarks and the mask area is used to assess whether the mask is worn correctly. The experimental results show that the average detection speed of this method in the natural environment is about 14FPS, the mAP (mean Average Precision) of whether to wear a mask is 66.34%, and the detection accuracy of whether to wear a mask is 96%, which can effectively meet the actual application requirements.<\/jats:p>","DOI":"10.3233\/jcm227007","type":"journal-article","created":{"date-parts":[[2023,12,19]],"date-time":"2023-12-19T12:22:11Z","timestamp":1702988531000},"page":"2813-2823","source":"Crossref","is-referenced-by-count":0,"title":["A method for standardized wear detection of masks based on key point detection"],"prefix":"10.66113","volume":"23","author":[{"given":"Hongqian","family":"Hu","sequence":"first","affiliation":[{"name":"School of Mechanical and Electrical Engineering, Zhejiang Industry Polytechnic College, Shaoxing, Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Mechanical and Energy Engineering, Zhejiang University of Science and Technology, Hangzhou, Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuanyin","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"55691","reference":[{"issue":"8","key":"10.3233\/JCM227007_ref1","first-page":"45","article-title":"Intelligent monitoring model for aggregated infection against the background of COVID-19 epidemic","volume":"48","author":"Chun","year":"2022","journal-title":"Computer Engineering."},{"issue":"12","key":"10.3233\/JCM227007_ref2","doi-asserted-by":"crossref","first-page":"161","DOI":"10.46501\/IJMTST061231","article-title":"Face mask detection system using deep learning","volume":"6","author":"Garg","year":"2020","journal-title":"International Journal for Modern Trends in Science and Technology."},{"issue":"7","key":"10.3233\/JCM227007_ref3","doi-asserted-by":"crossref","first-page":"1045","DOI":"10.3724\/SP.J.1089.2021.18635","article-title":"Improved efficient convolutional neural networks for complex scene mask-wearing detection","volume":"33","author":"Xue","year":"2021","journal-title":"Journal of Computer-Aided Design & Computer Graphics."},{"issue":"5","key":"10.3233\/JCM227007_ref4","first-page":"1002","article-title":"Masked face detection model based on multi-scale attention-driven faster R-CNN","volume":"56","author":"Li","year":"2021","journal-title":"Journal of Southwest Jiaotong University."},{"issue":"1","key":"10.3233\/JCM227007_ref5","first-page":"123","article-title":"Detection of mask wearing in dim light based on attention mechanism","volume":"51","author":"Guo","year":"2022","journal-title":"Journal of University of Electronic Science and Technology of China."},{"issue":"1","key":"10.3233\/JCM227007_ref6","first-page":"123","article-title":"Improved SSD algorithm and its application in mask wear detection","volume":"51","author":"Yu","year":"2022","journal-title":"Computer Simulation."},{"issue":"8","key":"10.3233\/JCM227007_ref7","first-page":"204","article-title":"Research on face recognition method of wearing mask based on SSD algorithm","volume":"39","author":"Niu","year":"2022","journal-title":"Computer Simulation."},{"issue":"10","key":"10.3233\/JCM227007_ref12","first-page":"13","article-title":"Review of Research on Face MaskWearing Detection","volume":"58","author":"Wang","year":"2022","journal-title":"Computer Engineering and Applications."},{"issue":"8","key":"10.3233\/JCM227007_ref14","doi-asserted-by":"crossref","first-page":"8574","DOI":"10.1109\/TCYB.2021.3095305","article-title":"Enhancing geometric factors in model learning and inference for object detection and instance segmentation","volume":"52","author":"Zheng","year":"2021","journal-title":"IEEE Transactions on Cybernetics."},{"issue":"03","key":"10.3233\/JCM227007_ref15","first-page":"42","article-title":"Yawn detection method based on dlib and variant transformer","volume":"570","author":"Liao","year":"2023","journal-title":"Automobile Technology."}],"container-title":["Journal of Computational Methods in Sciences and 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