{"id":"https://openalex.org/W4293863529","doi":"https://doi.org/10.1109/siu55565.2022.9864927","title":"Optical Flow-based Temporal Video Analysis for Hand Hygiene Monitoring","display_name":"Optical Flow-based Temporal Video Analysis for Hand Hygiene Monitoring","publication_year":2022,"publication_date":"2022-05-15","ids":{"openalex":"https://openalex.org/W4293863529","doi":"https://doi.org/10.1109/siu55565.2022.9864927"},"language":"en","primary_location":{"id":"doi:10.1109/siu55565.2022.9864927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu55565.2022.9864927","pdf_url":null,"source":{"id":"https://openalex.org/S4363607818","display_name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","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 30th Signal Processing and Communications Applications Conference (SIU)","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/A5001954478","display_name":"Furkan Kasim","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124062","display_name":"T\u00fcbitak National Metrology Institute","ror":"https://ror.org/02zcjdk53","country_code":"TR","type":"facility","lineage":["https://openalex.org/I4210124062"]},{"id":"https://openalex.org/I51826884","display_name":"Kocaeli \u00dcniversitesi","ror":"https://ror.org/0411seq30","country_code":"TR","type":"education","lineage":["https://openalex.org/I51826884"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Furkan Kasim","raw_affiliation_strings":["Gebze Teknik Üniversitesi,Endüstri Mühendisliği Bölümü,Kocaeli,Türkiye","hendisli&#x011F","rkiye","niversitesi, Kocaeli, T&#x00FC","m&#x00FC","i B&#x00F6","l&#x00FC","End&#x00FC","stri M&#x00FC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gebze Teknik Üniversitesi,Endüstri Mühendisliği Bölümü,Kocaeli,Türkiye","institution_ids":["https://openalex.org/I4210124062"]},{"raw_affiliation_string":"hendisli&#x011F","institution_ids":[]},{"raw_affiliation_string":"rkiye","institution_ids":[]},{"raw_affiliation_string":"niversitesi, Kocaeli, T&#x00FC","institution_ids":["https://openalex.org/I51826884"]},{"raw_affiliation_string":"m&#x00FC","institution_ids":[]},{"raw_affiliation_string":"i B&#x00F6","institution_ids":[]},{"raw_affiliation_string":"l&#x00FC","institution_ids":[]},{"raw_affiliation_string":"End&#x00FC","institution_ids":[]},{"raw_affiliation_string":"stri M&#x00FC","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052985871","display_name":"Ay\u015fenur Budak","orcid":"https://orcid.org/0000-0002-6961-2414"},"institutions":[{"id":"https://openalex.org/I4210124062","display_name":"T\u00fcbitak National Metrology Institute","ror":"https://ror.org/02zcjdk53","country_code":"TR","type":"facility","lineage":["https://openalex.org/I4210124062"]},{"id":"https://openalex.org/I51826884","display_name":"Kocaeli \u00dcniversitesi","ror":"https://ror.org/0411seq30","country_code":"TR","type":"education","lineage":["https://openalex.org/I51826884"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Aysenur Budak","raw_affiliation_strings":["Gebze Teknik Üniversitesi,Endüstri Mühendisliği Bölümü,Kocaeli,Türkiye","niversitesi, Kocaeli, T&#x00FC","rkiye","i B&#x00F6","m&#x00FC","End&#x00FC","stri M&#x00FC","l&#x00FC","hendisli&#x011F"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gebze Teknik Üniversitesi,Endüstri Mühendisliği Bölümü,Kocaeli,Türkiye","institution_ids":["https://openalex.org/I4210124062"]},{"raw_affiliation_string":"niversitesi, Kocaeli, T&#x00FC","institution_ids":["https://openalex.org/I51826884"]},{"raw_affiliation_string":"rkiye","institution_ids":[]},{"raw_affiliation_string":"i B&#x00F6","institution_ids":[]},{"raw_affiliation_string":"m&#x00FC","institution_ids":[]},{"raw_affiliation_string":"End&#x00FC","institution_ids":[]},{"raw_affiliation_string":"stri M&#x00FC","institution_ids":[]},{"raw_affiliation_string":"l&#x00FC","institution_ids":[]},{"raw_affiliation_string":"hendisli&#x011F","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010447124","display_name":"Yakup Gen\u00e7","orcid":"https://orcid.org/0000-0002-6952-6735"},"institutions":[{"id":"https://openalex.org/I118036225","display_name":"Istanbul Bilgi University","ror":"https://ror.org/04pm4x478","country_code":"TR","type":"education","lineage":["https://openalex.org/I118036225"]},{"id":"https://openalex.org/I4210124062","display_name":"T\u00fcbitak National Metrology Institute","ror":"https://ror.org/02zcjdk53","country_code":"TR","type":"facility","lineage":["https://openalex.org/I4210124062"]},{"id":"https://openalex.org/I51826884","display_name":"Kocaeli \u00dcniversitesi","ror":"https://ror.org/0411seq30","country_code":"TR","type":"education","lineage":["https://openalex.org/I51826884"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Yakup Genc","raw_affiliation_strings":["Gebze Teknik Üniversitesi,Bilgisayar Mühendisliği Bölümü,Kocaeli,Türkiye","hendisli&#x011F","l&#x00FC","Bilgisayar M&#x00FC","i B&#x00F6","rkiye","niversitesi, Kocaeli, T&#x00FC","m&#x00FC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gebze Teknik Üniversitesi,Bilgisayar Mühendisliği Bölümü,Kocaeli,Türkiye","institution_ids":["https://openalex.org/I4210124062"]},{"raw_affiliation_string":"hendisli&#x011F","institution_ids":[]},{"raw_affiliation_string":"l&#x00FC","institution_ids":[]},{"raw_affiliation_string":"Bilgisayar M&#x00FC","institution_ids":["https://openalex.org/I118036225"]},{"raw_affiliation_string":"i B&#x00F6","institution_ids":[]},{"raw_affiliation_string":"rkiye","institution_ids":[]},{"raw_affiliation_string":"niversitesi, Kocaeli, T&#x00FC","institution_ids":["https://openalex.org/I51826884"]},{"raw_affiliation_string":"m&#x00FC","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09265836,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9682999849319458,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9682999849319458,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9674000144004822,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.965499997138977,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/optical-flow","display_name":"Optical flow","score":0.9123252034187317},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7593153119087219},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7530405521392822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7137354612350464},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6092481017112732},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5691933035850525},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.4954465627670288},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4895957112312317},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.42532432079315186},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4174899458885193},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3508952260017395},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34170883893966675},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11836156249046326},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09208792448043823}],"concepts":[{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.9123252034187317},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7593153119087219},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7530405521392822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7137354612350464},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6092481017112732},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5691933035850525},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.4954465627670288},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4895957112312317},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.42532432079315186},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4174899458885193},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3508952260017395},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34170883893966675},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11836156249046326},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09208792448043823},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu55565.2022.9864927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu55565.2022.9864927","pdf_url":null,"source":{"id":"https://openalex.org/S4363607818","display_name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","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 30th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W4375867731","https://openalex.org/W3081694532","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W1969211203"],"abstract_inverted_index":{"Touching":[0],"people":[1],"or":[2,92],"surfaces":[3],"can":[4],"increase":[5],"spread":[6],"of":[7,17,52,66,90,140],"infectious":[8],"diseases.":[9],"Successful":[10],"hand":[11,18,53,88],"sanitization":[12],"performed":[13],"with":[14,42,45,86,120],"correct":[15],"sequences":[16],"movements":[19,55],"as":[20,76],"described":[21],"by":[22],"WHO":[23],"is":[24],"an":[25],"important":[26],"step":[27],"in":[28,68],"maintaining":[29],"hygiene":[30,54],"and":[31],"decreasing":[32],"contamination.":[33],"In":[34],"this":[35],"work,":[36],"deep":[37,106],"learning":[38,107],"models":[39,131],"are":[40,74,100,127,132],"trained":[41,133],"inputs":[43,99],"enriched":[44],"optical":[46,113,141],"flow":[47,61,72,114],"vectors":[48,73],"for":[49],"the":[50,63,69,80,87,121,138],"recognition":[51],"differing":[56],"from":[57],"prior":[58],"approaches.":[59],"Optical":[60,71],"describes":[62],"apparent":[64],"movement":[65],"pixels":[67],"image.":[70],"used":[75,101,118],"extra":[77],"channels":[78],"alongside":[79],"original":[81,122],"image":[82,94],"additionally":[83],"masking":[84],"them":[85],"region":[89],"interest":[91],"applying":[93],"preprocessing":[95],"techniques.":[96],"These":[97],"multi-channel":[98],"to":[102],"train":[103],"three":[104],"different":[105],"models.":[108],"Experimental":[109],"results":[110,126],"show":[111],"that":[112],"improves":[115],"performance":[116],"when":[117,129],"along":[119],"images.":[123],"The":[124],"best":[125],"obtained":[128],"CNN":[130],"on":[134],"multi-frame":[135],"images":[136],"including":[137],"angle":[139],"flow.":[142]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}