{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T11:26:39Z","timestamp":1792409199715,"version":"4.4.0"},"reference-count":34,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2023,12,18]],"date-time":"2023-12-18T00:00:00Z","timestamp":1702857600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Business-Driven Digital Twin Simulation Software for Electronic Information Manufacturing","award":["2022ZDZX0002"],"award-info":[{"award-number":["2022ZDZX0002"]}]},{"name":"Business-Driven Digital Twin Simulation Software for Electronic Information Manufacturing","award":["2022NSFSC0449"],"award-info":[{"award-number":["2022NSFSC0449"]}]},{"name":"Sichuan Province Natural Science Foundation Project","award":["2022ZDZX0002"],"award-info":[{"award-number":["2022ZDZX0002"]}]},{"name":"Sichuan Province Natural Science Foundation Project","award":["2022NSFSC0449"],"award-info":[{"award-number":["2022NSFSC0449"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Wearing gloves during machinery operation in workshops is essential for preventing accidental injuries, such as mechanical damage and burns. Ensuring that workers are wearing gloves is a key strategy for accident prevention. Consequently, this study proposes a glove detection algorithm called YOLOv8-AFPN-M-C2f based on YOLOv8, offering swifter detection speeds, lower computational demands, and enhanced accuracy for workshop scenarios. This research innovates by substituting the head of YOLOv8 with the AFPN-M-C2f network, amplifying the pathways for feature vector propagation, and mitigating semantic discrepancies between non-adjacent feature layers. Additionally, the introduction of a superficial feature layer enriches surface feature information, augmenting the model\u2019s sensitivity to smaller objects. To assess the performance of the YOLOv8-AFPN-M-C2f model, this study conducted multiple experiments using a factory glove detection dataset compiled for this study. The results indicate that the enhanced YOLOv8 model surpasses other network models. Compared to the baseline YOLOv8 model, the refined version shows a 2.6% increase in mAP@50%, a 63.8% rise in FPS, and a 13% reduction in the number of parameters. This research contributes an effective solution for the detection of glove adherence.<\/jats:p>","DOI":"10.3390\/s23249906","type":"journal-article","created":{"date-parts":[[2023,12,18]],"date-time":"2023-12-18T12:57:56Z","timestamp":1702904276000},"page":"9906","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["A Glove-Wearing Detection Algorithm Based on Improved YOLOv8"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-0801-7359","authenticated-orcid":false,"given":"Shichu","family":"Li","sequence":"first","affiliation":[{"name":"Jiuli Campus, School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huiping","family":"Huang","sequence":"additional","affiliation":[{"name":"Jiuli Campus, School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-5726-399X","authenticated-orcid":false,"given":"Xiangyin","family":"Meng","sequence":"additional","affiliation":[{"name":"Jiuli Campus, School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mushuai","family":"Wang","sequence":"additional","affiliation":[{"name":"Jiuli Campus, School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Li","sequence":"additional","affiliation":[{"name":"Jiuli Campus, School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Xie","sequence":"additional","affiliation":[{"name":"Jiuli Campus, School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,12,18]]},"reference":[{"key":"ref_1","first-page":"384","article-title":"Perceived Health Problems, Safety Practices and Performance Level among Workers of Cement Industries in Niger Delta","volume":"3","author":"Emmanuel","year":"2021","journal-title":"Int. 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