{"id":"https://openalex.org/W3173535903","doi":"https://doi.org/10.1109/i2mtc50364.2021.9460052","title":"Smart gravimetric system based on Deep Learning for enhanced safety of accesses to public places","display_name":"Smart gravimetric system based on Deep Learning for enhanced safety of accesses to public places","publication_year":2021,"publication_date":"2021-05-17","ids":{"openalex":"https://openalex.org/W3173535903","doi":"https://doi.org/10.1109/i2mtc50364.2021.9460052","mag":"3173535903"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc50364.2021.9460052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc50364.2021.9460052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5008376177","display_name":"Tommaso Addabbo","orcid":"https://orcid.org/0000-0003-0168-9404"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Tommaso Addabbo","raw_affiliation_strings":["University of Siena,Department of Information Engineering and Mathematics,Siena,Italy,53100"],"affiliations":[{"raw_affiliation_string":"University of Siena,Department of Information Engineering and Mathematics,Siena,Italy,53100","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011072460","display_name":"Ada Fort","orcid":"https://orcid.org/0000-0003-0916-1516"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ada Fort","raw_affiliation_strings":["University of Siena,Department of Information Engineering and Mathematics,Siena,Italy,53100"],"affiliations":[{"raw_affiliation_string":"University of Siena,Department of Information Engineering and Mathematics,Siena,Italy,53100","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076956231","display_name":"Marco Mugnaini","orcid":"https://orcid.org/0000-0002-2410-1581"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Mugnaini","raw_affiliation_strings":["University of Siena,Department of Information Engineering and Mathematics,Siena,Italy,53100"],"affiliations":[{"raw_affiliation_string":"University of Siena,Department of Information Engineering and Mathematics,Siena,Italy,53100","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006110526","display_name":"Valerio Vignoli","orcid":"https://orcid.org/0000-0003-2509-6566"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Valerio Vignoli","raw_affiliation_strings":["University of Siena,Department of Information Engineering and Mathematics,Siena,Italy,53100"],"affiliations":[{"raw_affiliation_string":"University of Siena,Department of Information Engineering and Mathematics,Siena,Italy,53100","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030309963","display_name":"Matteo Intravaia","orcid":"https://orcid.org/0000-0001-8388-2210"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Matteo Intravaia","raw_affiliation_strings":["University of Siena,Department of Information Engineering and Mathematics,Siena,Italy,53100"],"affiliations":[{"raw_affiliation_string":"University of Siena,Department of Information Engineering and Mathematics,Siena,Italy,53100","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063758980","display_name":"Marco Tani","orcid":"https://orcid.org/0000-0002-6022-5549"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Tani","raw_affiliation_strings":["University of Siena,Department of Information Engineering and Mathematics,Siena,Italy,53100"],"affiliations":[{"raw_affiliation_string":"University of Siena,Department of Information Engineering and Mathematics,Siena,Italy,53100","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091787895","display_name":"Monica Bianchini","orcid":"https://orcid.org/0000-0002-8206-8142"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Monica Bianchini","raw_affiliation_strings":["University of Siena,Department of Information Engineering and Mathematics,Siena,Italy,53100"],"affiliations":[{"raw_affiliation_string":"University of Siena,Department of Information Engineering and Mathematics,Siena,Italy,53100","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020560480","display_name":"Franco Scarselli","orcid":"https://orcid.org/0000-0003-1307-0772"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Franco Scarselli","raw_affiliation_strings":["University of Siena,Department of Information Engineering and Mathematics,Siena,Italy,53100"],"affiliations":[{"raw_affiliation_string":"University of Siena,Department of Information Engineering and Mathematics,Siena,Italy,53100","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044252882","display_name":"Barbara Toniella Corradini","orcid":"https://orcid.org/0000-0003-3568-5874"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Barbara Toniella Corradini","raw_affiliation_strings":["University of Siena,Department of Information Engineering and Mathematics,Siena,Italy,53100"],"affiliations":[{"raw_affiliation_string":"University of Siena,Department of Information Engineering and Mathematics,Siena,Italy,53100","institution_ids":["https://openalex.org/I102064193"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5008376177"],"corresponding_institution_ids":["https://openalex.org/I102064193"],"apc_list":null,"apc_paid":null,"fwci":0.4197,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68765734,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9990000128746033,"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":0.9990000128746033,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11220","display_name":"Water Systems and Optimization","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ticket","display_name":"Ticket","score":0.6776975393295288},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6612555980682373},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.60772705078125},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6073304414749146},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4530092179775238},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4298684895038605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4195701479911804},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3757556676864624},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34826236963272095},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.32490235567092896},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.32425713539123535},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08377030491828918}],"concepts":[{"id":"https://openalex.org/C2776540713","wikidata":"https://www.wikidata.org/wiki/Q7800647","display_name":"Ticket","level":2,"score":0.6776975393295288},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6612555980682373},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.60772705078125},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6073304414749146},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4530092179775238},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4298684895038605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4195701479911804},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3757556676864624},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34826236963272095},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.32490235567092896},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.32425713539123535},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08377030491828918},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/i2mtc50364.2021.9460052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc50364.2021.9460052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arpi.unipi.it:11568/1109777","is_oa":false,"landing_page_url":"http://hdl.handle.net/11568/1109777","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:usiena-air.unisi.it:11365/1153494","is_oa":false,"landing_page_url":"http://hdl.handle.net/11365/1153494","pdf_url":null,"source":{"id":"https://openalex.org/S4377196319","display_name":"Use Siena air (University of Siena)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102064193","host_organization_name":"University of Siena","host_organization_lineage":["https://openalex.org/I102064193"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1516653016","https://openalex.org/W1686810756","https://openalex.org/W2056438097","https://openalex.org/W2108598243","https://openalex.org/W2119990031","https://openalex.org/W2275281385","https://openalex.org/W2500312196","https://openalex.org/W2548008920","https://openalex.org/W2551393996","https://openalex.org/W2598525681","https://openalex.org/W2606504866","https://openalex.org/W2611466494","https://openalex.org/W2614546016","https://openalex.org/W2808071176","https://openalex.org/W2888016381","https://openalex.org/W2888355509","https://openalex.org/W2888394219","https://openalex.org/W2888788274","https://openalex.org/W2892035503","https://openalex.org/W2902104959","https://openalex.org/W2967095016","https://openalex.org/W2972810968","https://openalex.org/W2995611514","https://openalex.org/W3041817417","https://openalex.org/W3083891030","https://openalex.org/W3086301808","https://openalex.org/W3098341941","https://openalex.org/W3111387707"],"related_works":["https://openalex.org/W132856376","https://openalex.org/W4288388931","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"This":[0,114],"paper":[1],"describes":[2],"the":[3,6,57,61,72,89,122,127,131,147,153,158,177],"architecture":[4],"and":[5,35,125,167,174],"performances":[7],"of":[8,24,63,91,130,160],"a":[9,25,36,92,95,98,101,112],"smart":[10],"robust":[11],"gravimetric":[12,26],"system":[13,21,179],"for":[14,120,126,145],"access":[15,123],"monitoring":[16],"in":[17,53,71,157,184],"public":[18],"places.":[19],"The":[20,44,135],"is":[22,47,171],"composed":[23],"footboard,":[27],"equipped":[28],"with":[29,94,103],"load":[30],"cells,":[31],"an":[32],"embedded":[33],"electronics,":[34],"VGG16":[37],"convolutional":[38],"neural":[39],"network":[40],"based":[41],"classification":[42],"algorithm.":[43],"main":[45],"objective":[46],"to":[48,56,69],"spot":[49],"irregularities,":[50],"which":[51],"correspond":[52],"this":[54],"case":[55],"contemporary":[58],"presence":[59],"on":[60,108,111],"footboard":[62],"more":[64],"than":[65],"one":[66,78],"person,":[67],"trying":[68],"enter":[70],"place":[73,133],"under":[74],"observation":[75],"using":[76],"only":[77],"ticket.":[79],"Moreover,":[80],"other":[81],"notable":[82],"events":[83,162],"can":[84,117,180],"be":[85,118,181],"recognized,":[86],"such":[87],"as":[88],"passage":[90],"person":[93,102],"stroller":[96],"or":[97,100,106,110],"trolley,":[99],"some":[104],"injuries":[105],"disabilities":[107],"crutches":[109],"wheelchair.":[113],"additional":[115],"information":[116],"useful":[119],"enhancing":[121],"safety":[124],"statistical":[128],"characterization":[129],"monitored":[132],"frequentation.":[134],"results":[136],"are":[137],"very":[138],"promising,":[139],"showing":[140],"accuracies":[141],"well":[142],"over":[143],"90%":[144],"all":[146],"considered":[148],"event":[149],"categories.":[150],"In":[151],"particular,":[152],"overall":[154],"100%":[155],"accuracy":[156],"detection":[159],"irregular":[161],"(subdivided":[163],"into":[164],"queued":[165],"people":[166,169],"side-by-side":[168],"categories)":[170],"truly":[172],"remarkable":[173],"confirms":[175],"that":[176],"proposed":[178],"reliably":[182],"employed":[183],"real":[185],"world":[186],"applications.":[187]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
