{"id":"https://openalex.org/W4283732374","doi":"https://doi.org/10.3390/s22134933","title":"Research on Mask-Wearing Detection Algorithm Based on Improved YOLOv5","display_name":"Research on Mask-Wearing Detection Algorithm Based on Improved YOLOv5","publication_year":2022,"publication_date":"2022-06-29","ids":{"openalex":"https://openalex.org/W4283732374","doi":"https://doi.org/10.3390/s22134933","pmid":"https://pubmed.ncbi.nlm.nih.gov/35808418"},"language":"en","primary_location":{"id":"doi:10.3390/s22134933","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22134933","pdf_url":"https://www.mdpi.com/1424-8220/22/13/4933/pdf?version=1656934916","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/13/4933/pdf?version=1656934916","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051015375","display_name":"Shuyi Guo","orcid":"https://orcid.org/0000-0001-7860-0661"},"institutions":[{"id":"https://openalex.org/I198645480","display_name":"North China University of Water Resources and Electric Power","ror":"https://ror.org/03acrzv41","country_code":"CN","type":"education","lineage":["https://openalex.org/I198645480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyi Guo","raw_affiliation_strings":["School of Mechanical Engineering, North China University of Water Resources and Electric Power, No. 36 Beihuan Road, Zhengzhou 450045, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, North China University of Water Resources and Electric Power, No. 36 Beihuan Road, Zhengzhou 450045, China","institution_ids":["https://openalex.org/I198645480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082239428","display_name":"Lulu Li","orcid":"https://orcid.org/0000-0003-1298-6922"},"institutions":[{"id":"https://openalex.org/I198645480","display_name":"North China University of Water Resources and Electric Power","ror":"https://ror.org/03acrzv41","country_code":"CN","type":"education","lineage":["https://openalex.org/I198645480"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lulu Li","raw_affiliation_strings":["School of Mechanical Engineering, North China University of Water Resources and Electric Power, No. 36 Beihuan Road, Zhengzhou 450045, China"],"raw_orcid":"https://orcid.org/0000-0003-1298-6922","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, North China University of Water Resources and Electric Power, No. 36 Beihuan Road, Zhengzhou 450045, China","institution_ids":["https://openalex.org/I198645480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052236642","display_name":"Tianyou Guo","orcid":"https://orcid.org/0000-0002-9537-9767"},"institutions":[{"id":"https://openalex.org/I198645480","display_name":"North China University of Water Resources and Electric Power","ror":"https://ror.org/03acrzv41","country_code":"CN","type":"education","lineage":["https://openalex.org/I198645480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyou Guo","raw_affiliation_strings":["School of Mechanical Engineering, North China University of Water Resources and Electric Power, No. 36 Beihuan Road, Zhengzhou 450045, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, North China University of Water Resources and Electric Power, No. 36 Beihuan Road, Zhengzhou 450045, China","institution_ids":["https://openalex.org/I198645480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100859597","display_name":"Yunyu Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I198645480","display_name":"North China University of Water Resources and Electric Power","ror":"https://ror.org/03acrzv41","country_code":"CN","type":"education","lineage":["https://openalex.org/I198645480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunyu Cao","raw_affiliation_strings":["School of Mechanical Engineering, North China University of Water Resources and Electric Power, No. 36 Beihuan Road, Zhengzhou 450045, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, North China University of Water Resources and Electric Power, No. 36 Beihuan Road, Zhengzhou 450045, China","institution_ids":["https://openalex.org/I198645480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065374241","display_name":"Yinlei Li","orcid":"https://orcid.org/0000-0002-8652-3712"},"institutions":[{"id":"https://openalex.org/I198645480","display_name":"North China University of Water Resources and Electric Power","ror":"https://ror.org/03acrzv41","country_code":"CN","type":"education","lineage":["https://openalex.org/I198645480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinlei Li","raw_affiliation_strings":["School of Mechanical Engineering, North China University of Water Resources and Electric Power, No. 36 Beihuan Road, Zhengzhou 450045, China"],"raw_orcid":"https://orcid.org/0000-0002-8652-3712","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, North China University of Water Resources and Electric Power, No. 36 Beihuan Road, Zhengzhou 450045, China","institution_ids":["https://openalex.org/I198645480"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5082239428"],"corresponding_institution_ids":["https://openalex.org/I198645480"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":4.7757,"has_fulltext":true,"cited_by_count":48,"citation_normalized_percentile":{"value":0.96230752,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"22","issue":"13","first_page":"4933","last_page":"4933"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.7024702429771423},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6855729818344116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.669535756111145},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.6307482123374939},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5945857167243958},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5460453629493713},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5068712830543518},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4936257600784302},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4770878255367279},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4155678451061249},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32184165716171265},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1621285378932953},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1507953703403473}],"concepts":[{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7024702429771423},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6855729818344116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.669535756111145},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.6307482123374939},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5945857167243958},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5460453629493713},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5068712830543518},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4936257600784302},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4770878255367279},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4155678451061249},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32184165716171265},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1621285378932953},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1507953703403473},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22134933","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22134933","pdf_url":"https://www.mdpi.com/1424-8220/22/13/4933/pdf?version=1656934916","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:35808418","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35808418","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:29b5e1fbae644b3a9bef2b639f41f59e","is_oa":true,"landing_page_url":"https://doaj.org/article/29b5e1fbae644b3a9bef2b639f41f59e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 13, p 4933 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/13/4933/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22134933","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 13; Pages: 4933","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9269836","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9269836","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22134933","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22134933","pdf_url":"https://www.mdpi.com/1424-8220/22/13/4933/pdf?version=1656934916","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320318382","display_name":"North China University of Water Resources and Electric Power","ror":"https://ror.org/03acrzv41"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4283732374.pdf","grobid_xml":"https://content.openalex.org/works/W4283732374.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1135936395","https://openalex.org/W1536680647","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2193145675","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2783152060","https://openalex.org/W2957927798","https://openalex.org/W2962829835","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963857746","https://openalex.org/W2978733594","https://openalex.org/W2997747012","https://openalex.org/W2999711171","https://openalex.org/W3024585647","https://openalex.org/W3034971973","https://openalex.org/W3105153358","https://openalex.org/W3106250896","https://openalex.org/W3177052299","https://openalex.org/W3215778722","https://openalex.org/W3216362573","https://openalex.org/W4213078046","https://openalex.org/W4243794359","https://openalex.org/W6762585180","https://openalex.org/W6775274466","https://openalex.org/W6945244495"],"related_works":["https://openalex.org/W2348909947","https://openalex.org/W4292672442","https://openalex.org/W2362101859","https://openalex.org/W4249847449","https://openalex.org/W2791431590","https://openalex.org/W2941610985","https://openalex.org/W4235810826","https://openalex.org/W4206776094","https://openalex.org/W3154920669","https://openalex.org/W3121197456"],"abstract_inverted_index":{"COVID-19":[0],"is":[1,55,136],"highly":[2],"contagious,":[3],"and":[4,26,34,66,103],"proper":[5],"wearing":[6],"of":[7,14,70,122,132,139],"a":[8,44,91],"mask":[9],"can":[10],"hinder":[11],"the":[12,15,51,58,68,77,84,119,128,133,143],"spread":[13],"virus.":[16],"However,":[17],"complex":[18],"factors":[19],"in":[20,83],"natural":[21],"scenes,":[22],"including":[23],"occlusion,":[24],"dense,":[25],"small-scale":[27],"targets,":[28],"frequently":[29],"lead":[30],"to":[31,62,97,117,142],"target":[32],"misdetection":[33],"missed":[35,120],"detection.":[36],"To":[37],"address":[38],"these":[39],"issues,":[40],"this":[41],"paper":[42],"proposes":[43],"YOLOv5-based":[45],"mask-wearing":[46],"detection":[47,121,130],"algorithm,":[48],"YOLOv5-CBD.":[49],"Firstly,":[50],"Coordinate":[52],"Attention":[53],"mechanism":[54],"introduced":[56],"into":[57],"feature":[59,74,79,85,94,105],"fusion":[60,86],"process":[61],"stress":[63],"critical":[64],"features":[65,72],"decrease":[67],"impact":[69],"redundant":[71],"after":[73],"fusion.":[75,106],"Then,":[76],"original":[78],"pyramid":[80,95],"network":[81,96],"module":[82,87],"was":[88],"replaced":[89],"with":[90,114],"weighted":[92,104],"bidirectional":[93,100],"achieve":[98],"efficient":[99],"cross-scale":[101],"connectivity":[102],"Finally,":[107],"we":[108],"combined":[109],"Distance":[110],"Intersection":[111],"over":[112],"Union":[113],"Non-Maximum":[115],"Suppression":[116],"improve":[118],"overlapping":[123],"targets.":[124],"Experiments":[125],"show":[126],"that":[127],"average":[129],"accuracy":[131],"YOLOv5-CBD":[134],"model":[135,145],"96.7%-an":[137],"improvement":[138],"2.1%":[140],"compared":[141],"baseline":[144],"(YOLOv5).":[146]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
