{"id":"https://openalex.org/W4416513241","doi":"https://doi.org/10.1109/tce.2025.3636054","title":"Real-Time Monitoring and Safety Scheduling of Intelligent Elevators Based on Biometric Data Analysis","display_name":"Real-Time Monitoring and Safety Scheduling of Intelligent Elevators Based on Biometric Data Analysis","publication_year":2025,"publication_date":"2025-11-21","ids":{"openalex":"https://openalex.org/W4416513241","doi":"https://doi.org/10.1109/tce.2025.3636054"},"language":null,"primary_location":{"id":"doi:10.1109/tce.2025.3636054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3636054","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-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/A5101121529","display_name":"Jie Yu","orcid":"https://orcid.org/0009-0005-0838-8681"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Yu","raw_affiliation_strings":["School of Information Science and Technology, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083412798","display_name":"Bo Hu","orcid":"https://orcid.org/0000-0001-6348-010X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Hu","raw_affiliation_strings":["School of Information Science and Technology, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101121529"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.44594188,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"72","issue":"1","first_page":"1254","last_page":"1270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14011","display_name":"Elevator Systems and Control","score":0.9754999876022339,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14011","display_name":"Elevator Systems and Control","score":0.9754999876022339,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12206","display_name":"Vibration and Dynamic Analysis","score":0.005400000140070915,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13344","display_name":"Industrial Automation and Control Systems","score":0.0012000000569969416,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/elevator","display_name":"Elevator","score":0.7225000262260437},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5580999851226807},{"id":"https://openalex.org/keywords/ant-colony-optimization-algorithms","display_name":"Ant colony optimization algorithms","score":0.47209998965263367},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4399999976158142},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.4196999967098236},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.39719998836517334},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.39070001244544983},{"id":"https://openalex.org/keywords/home-automation","display_name":"Home automation","score":0.3668999969959259},{"id":"https://openalex.org/keywords/wheelchair","display_name":"Wheelchair","score":0.3573000133037567}],"concepts":[{"id":"https://openalex.org/C147021018","wikidata":"https://www.wikidata.org/wiki/Q252451","display_name":"Elevator","level":2,"score":0.7225000262260437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6021999716758728},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5580999851226807},{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.47209998965263367},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4399999976158142},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.4196999967098236},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4088999927043915},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.39719998836517334},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.39070001244544983},{"id":"https://openalex.org/C507571656","wikidata":"https://www.wikidata.org/wiki/Q848436","display_name":"Home automation","level":2,"score":0.3668999969959259},{"id":"https://openalex.org/C2781042323","wikidata":"https://www.wikidata.org/wiki/Q191931","display_name":"Wheelchair","level":2,"score":0.3573000133037567},{"id":"https://openalex.org/C37374048","wikidata":"https://www.wikidata.org/wiki/Q188674","display_name":"Programmable logic controller","level":2,"score":0.3562999963760376},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3549000024795532},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3431999981403351},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.33219999074935913},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.3312000036239624},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.32339999079704285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3212999999523163},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.31529998779296875},{"id":"https://openalex.org/C527821871","wikidata":"https://www.wikidata.org/wiki/Q228502","display_name":"Access control","level":2,"score":0.3018999993801117},{"id":"https://openalex.org/C83931994","wikidata":"https://www.wikidata.org/wiki/Q1149653","display_name":"Building automation","level":2,"score":0.2944999933242798},{"id":"https://openalex.org/C82327864","wikidata":"https://www.wikidata.org/wiki/Q835100","display_name":"Intelligent control","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.2922999858856201},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.2822999954223633},{"id":"https://openalex.org/C20894473","wikidata":"https://www.wikidata.org/wiki/Q1116105","display_name":"Object model","level":3,"score":0.2752000093460083},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.2599000036716461},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2587999999523163},{"id":"https://openalex.org/C139002025","wikidata":"https://www.wikidata.org/wiki/Q3001212","display_name":"Lift (data mining)","level":2,"score":0.2529999911785126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2025.3636054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3636054","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2031489346","https://openalex.org/W3048573213","https://openalex.org/W4285208736","https://openalex.org/W4313546706","https://openalex.org/W4318586191","https://openalex.org/W4323314156","https://openalex.org/W4364361241","https://openalex.org/W4376273588","https://openalex.org/W4378084601","https://openalex.org/W4378195006","https://openalex.org/W4382893018","https://openalex.org/W4382941170","https://openalex.org/W4387973373","https://openalex.org/W4388328743","https://openalex.org/W4388637805","https://openalex.org/W4389989752","https://openalex.org/W4390480978","https://openalex.org/W4391175813","https://openalex.org/W4392338148","https://openalex.org/W4392345998","https://openalex.org/W4392511323","https://openalex.org/W4392946413","https://openalex.org/W4393135285","https://openalex.org/W4393279553","https://openalex.org/W4393374947","https://openalex.org/W4394807355","https://openalex.org/W4394953330","https://openalex.org/W4395666286","https://openalex.org/W4399387213","https://openalex.org/W4399541983","https://openalex.org/W4399768887","https://openalex.org/W4400822246","https://openalex.org/W4401728668","https://openalex.org/W4402166415","https://openalex.org/W4402418267","https://openalex.org/W4403136033","https://openalex.org/W4403296888","https://openalex.org/W4405941807","https://openalex.org/W4407446015","https://openalex.org/W4407515843","https://openalex.org/W4411058281"],"related_works":[],"abstract_inverted_index":{"Traditional":[0],"elevator":[1,115,125,159,335],"group":[2],"control":[3,120,154],"systems":[4],"face":[5],"limitations":[6],"in":[7,316],"terms":[8],"of":[9,69,312],"response":[10,148,175],"speed,":[11],"passenger":[12,91],"recognition,":[13],"and":[14,27,53,76,96,121,136,150,155,167,234,275,284,298,300,304,309,333],"safety.":[15,151],"To":[16],"address":[17],"these":[18],"issues,":[19],"this":[20],"study":[21,320],"proposes":[22],"an":[23],"intelligent":[24,326],"real-time":[25],"monitoring":[26],"safety":[28],"dispatch":[29,116],"model":[30,193,248],"based":[31],"on":[32,179],"biometric":[33,191,323],"data":[34],"analysis.":[35],"At":[36,79,118,152],"the":[37,50,80,119,137,146,153,168,180,188,195,217,231,237,246,251,270,276,307],"perception":[38],"layer,":[39,82,123,157],"a":[40,83,100,131,165,205,213,220,329],"You":[41],"Only":[42],"Look":[43],"Once":[44],"(YOLO)":[45],"recognition":[46,68,192,207,324],"network":[47],"integrated":[48],"with":[49,242,269,292,325],"Ghost":[51],"module":[52],"Convolutional":[54],"Block":[55],"Attention":[56],"Module":[57],"(CBAM)":[58],"is":[59,87,105],"constructed.":[60],"This":[61,319],"hybrid":[62],"architecture":[63],"aims":[64],"to":[65,111,144,172],"achieve":[66],"high-precision":[67],"special":[70,200],"passengers,":[71],"such":[72],"as":[73],"wheelchair":[74,210],"users":[75],"baby":[77,224],"strollers.":[78],"scheduling":[81,244,268,290],"multi-objective":[84,317],"optimization":[85],"function":[86],"designed":[88],"that":[89,187],"considers":[90],"waiting":[92],"time,":[93],"energy":[94,278,301],"consumption,":[95],"service":[97],"fairness.":[98],"Additionally,":[99],"Graph":[101],"Neural":[102],"Network":[103],"(GNN)":[104],"enhanced":[106],"via":[107,250],"Ant":[108,313],"Colony":[109,314],"Optimization":[110,315],"implement":[112],"differentiated,":[113],"adaptive":[114],"strategies.":[117],"simulation":[122,156,262],"various":[124,158,259],"usage":[126,160],"scenarios":[127,161],"are":[128,162],"simulated":[129,163],"using":[130,164],"Programmable":[132],"Logic":[133],"Controller":[134],"(PLC)":[135],"Totally":[138],"Integrated":[139],"Automation":[140],"(TIA)":[141],"Portal":[142,170],"platform":[143,171],"evaluate":[145,173],"system\u2019s":[147],"efficiency":[149,291],"PLC":[166],"TIA":[169],"system":[174,336],"effectiveness.":[176],"Experimental":[177],"results":[178],"Visual":[181],"Object":[182],"Classes":[183],"2007":[184],"dataset":[185],"demonstrate":[186],"proposed":[189],"YOLO-World-Ghost-CBAM":[190],"achieves":[194,266],"highest":[196],"accuracy":[197,208,222],"for":[198,209,223,338],"identifying":[199],"passengers.":[201],"Specifically,":[202],"it":[203,265,286],"reaches":[204],"97.4%":[206],"users,":[211],"representing":[212],"5.1%":[214],"improvement":[215],"over":[216,230,236],"YOLO-World-Ghost":[218],"model;":[219],"95.6%":[221],"strollers,":[225],"improving":[226],"by":[227],"6.5%;":[228],"10.7%":[229],"YOLO-World":[232],"model,":[233],"18.9%":[235],"conventional":[238],"YOLOv8":[239],"model.":[240],"Compared":[241],"other":[243],"models,":[245],"GNN":[247],"optimized":[249],"ant":[252],"colony":[253],"algorithm":[254],"performs":[255],"consistently":[256],"well":[257],"across":[258],"scenarios.":[260],"Under":[261,281],"condition":[263],"A,":[264],"optimal":[267],"shortest":[271],"time":[272,295],"cost":[273],"(20.73s)":[274],"lowest":[277],"consumption":[279,302],"(33,807.5J).":[280],"conditions":[282],"B":[283],"C,":[285],"also":[287],"maintains":[288],"high":[289],"relatively":[293],"low":[294],"costs":[296],"(24.72s":[297],"35.18s)":[299],"(32,067.6J":[303],"37,801.7J),":[305],"validating":[306],"effectiveness":[308],"generalization":[310],"capability":[311],"scheduling.":[318],"innovatively":[321],"integrates":[322],"scheduling,":[327],"offering":[328],"safer,":[330],"more":[331],"efficient,":[332],"user-centric":[334],"solution":[337],"smart":[339],"building":[340],"environments.":[341]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-11-23T00:00:00"}