{"id":"https://openalex.org/W4283694745","doi":"https://doi.org/10.23919/mipro55190.2022.9803531","title":"Face Mask Detection using MediaPipe Facemesh","display_name":"Face Mask Detection using MediaPipe Facemesh","publication_year":2022,"publication_date":"2022-05-23","ids":{"openalex":"https://openalex.org/W4283694745","doi":"https://doi.org/10.23919/mipro55190.2022.9803531"},"language":"en","primary_location":{"id":"doi:10.23919/mipro55190.2022.9803531","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mipro55190.2022.9803531","pdf_url":null,"source":{"id":"https://openalex.org/S4363605136","display_name":"2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014099038","display_name":"B. Thaman","orcid":null},"institutions":[{"id":"https://openalex.org/I168416876","display_name":"Northern Kentucky University","ror":"https://ror.org/01k44g025","country_code":"US","type":"education","lineage":["https://openalex.org/I168416876"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"B. Thaman","raw_affiliation_strings":["Northern Kentucky University,Department of Computer Science,United States","Department of Computer Science, Northern Kentucky University, United States"],"affiliations":[{"raw_affiliation_string":"Northern Kentucky University,Department of Computer Science,United States","institution_ids":["https://openalex.org/I168416876"]},{"raw_affiliation_string":"Department of Computer Science, Northern Kentucky University, United States","institution_ids":["https://openalex.org/I168416876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056336057","display_name":"Thanh-Khiet Cao","orcid":"https://orcid.org/0000-0002-0702-9848"},"institutions":[{"id":"https://openalex.org/I168416876","display_name":"Northern Kentucky University","ror":"https://ror.org/01k44g025","country_code":"US","type":"education","lineage":["https://openalex.org/I168416876"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T. Cao","raw_affiliation_strings":["Northern Kentucky University,Department of Computer Science,United States","Department of Computer Science, Northern Kentucky University, United States"],"affiliations":[{"raw_affiliation_string":"Northern Kentucky University,Department of Computer Science,United States","institution_ids":["https://openalex.org/I168416876"]},{"raw_affiliation_string":"Department of Computer Science, Northern Kentucky University, United States","institution_ids":["https://openalex.org/I168416876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017122751","display_name":"Nicholas Caporusso","orcid":null},"institutions":[{"id":"https://openalex.org/I168416876","display_name":"Northern Kentucky University","ror":"https://ror.org/01k44g025","country_code":"US","type":"education","lineage":["https://openalex.org/I168416876"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"N. Caporusso","raw_affiliation_strings":["Northern Kentucky University,Department of Computer Science,United States","Department of Computer Science, Northern Kentucky University, United States"],"affiliations":[{"raw_affiliation_string":"Northern Kentucky University,Department of Computer Science,United States","institution_ids":["https://openalex.org/I168416876"]},{"raw_affiliation_string":"Department of Computer Science, Northern Kentucky University, United States","institution_ids":["https://openalex.org/I168416876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014099038"],"corresponding_institution_ids":["https://openalex.org/I168416876"],"apc_list":null,"apc_paid":null,"fwci":1.2528,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.86307496,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"378","last_page":"382"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9994000196456909,"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/T11448","display_name":"Face recognition and analysis","score":0.9994000196456909,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.988099992275238,"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/T10990","display_name":"Infection Control and Ventilation","score":0.9668999910354614,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7929129600524902},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7555941939353943},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6969546675682068},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5853375196456909},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.5407869815826416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5170948505401611},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.49091821908950806},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4876629114151001},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4865218997001648},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.47370263934135437},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.43149271607398987},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42514508962631226},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41543859243392944},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.4148840308189392},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32212498784065247},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2795729637145996},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.23076960444450378},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12556597590446472}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7929129600524902},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7555941939353943},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6969546675682068},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5853375196456909},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.5407869815826416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5170948505401611},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.49091821908950806},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4876629114151001},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4865218997001648},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.47370263934135437},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.43149271607398987},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42514508962631226},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41543859243392944},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.4148840308189392},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32212498784065247},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2795729637145996},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.23076960444450378},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12556597590446472},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/mipro55190.2022.9803531","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mipro55190.2022.9803531","pdf_url":null,"source":{"id":"https://openalex.org/S4363605136","display_name":"2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8100000023841858,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1135936395","https://openalex.org/W2087688145","https://openalex.org/W2739722733","https://openalex.org/W2962134292","https://openalex.org/W3040373278","https://openalex.org/W3045267872","https://openalex.org/W3045576536","https://openalex.org/W3086198045","https://openalex.org/W3114687924","https://openalex.org/W3118643387","https://openalex.org/W3128758033","https://openalex.org/W3135227314","https://openalex.org/W3173502443","https://openalex.org/W3176809577","https://openalex.org/W4236965008","https://openalex.org/W4288282320","https://openalex.org/W6765401191","https://openalex.org/W6765865358","https://openalex.org/W6780928782"],"related_works":["https://openalex.org/W2095705906","https://openalex.org/W1967061043","https://openalex.org/W2019566805","https://openalex.org/W2975200075","https://openalex.org/W2908959303","https://openalex.org/W2007544051","https://openalex.org/W2732308154","https://openalex.org/W2613186388","https://openalex.org/W2187221949","https://openalex.org/W1988485990"],"abstract_inverted_index":{"Recently,":[0],"face":[1,40,63,77],"masks":[2],"have":[3],"received":[4],"increasing":[5],"attention":[6],"due":[7],"to":[8,62,102],"the":[9,20,107,117,127],"COVID-19":[10],"pandemic,":[11],"as":[12],"their":[13],"correct":[14],"use":[15],"can":[16,44],"reduce":[17],"and":[18,51,88,115],"prevent":[19],"spread":[21],"of":[22,109,119,129],"outbreaks.":[23],"Thus,":[24],"several":[25],"research":[26],"studies":[27],"focused":[28],"on":[29],"developing":[30],"new":[31],"strategies":[32],"for":[33,67,96],"identifying":[34],"if":[35],"individuals":[36],"are":[37],"wearing":[38],"a":[39,76,84],"mask":[41,64],"before":[42],"they":[43],"be":[45],"admitted":[46],"into":[47],"public":[48],"spaces,":[49],"buildings,":[50],"transportation":[52],"systems.":[53],"In":[54],"this":[55],"paper,":[56],"we":[57,125],"present":[58,106],"an":[59,71,120],"alternative":[60],"approach":[61],"detection":[65,90],"pipeline":[66],"automatically":[68],"detecting":[69],"whether":[70],"individual":[72],"is":[73],"equipped":[74],"with":[75,99],"mask.":[78],"Our":[79],"proposed":[80],"solution":[81],"utilizes":[82],"MediaPipe,":[83],"popular":[85],"image":[86],"segmentation":[87],"object":[89],"machine":[91],"learning":[92],"model":[93,131],"designed":[94],"especially":[95],"cross-platform":[97],"operation,":[98,114],"specific":[100],"regard":[101],"mobile":[103],"devices.":[104],"We":[105],"architecture":[108],"our":[110,130],"pipeline,":[111],"detail":[112],"its":[113],"report":[116],"results":[118],"evaluation":[121],"study":[122],"in":[123,132],"which":[124],"analyzed":[126],"performance":[128],"real-world":[133],"scenarios.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
