{"id":"https://openalex.org/W2903421730","doi":"https://doi.org/10.1109/mnet.2018.1700356","title":"Artificial Intelligence Empowered Mobile Sensing for Human Flow Detection","display_name":"Artificial Intelligence Empowered Mobile Sensing for Human Flow Detection","publication_year":2018,"publication_date":"2018-12-04","ids":{"openalex":"https://openalex.org/W2903421730","doi":"https://doi.org/10.1109/mnet.2018.1700356","mag":"2903421730"},"language":"en","primary_location":{"id":"doi:10.1109/mnet.2018.1700356","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mnet.2018.1700356","pdf_url":null,"source":{"id":"https://openalex.org/S186584794","display_name":"IEEE Network","issn_l":"0890-8044","issn":["0890-8044","1558-156X"],"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 Network","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/A5100602821","display_name":"Fu Xiao","orcid":"https://orcid.org/0000-0003-1815-2793"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fu Xiao","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhengxin Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengxin Guo","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054361275","display_name":"Yingying Ni","orcid":"https://orcid.org/0009-0008-2346-498X"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingying Ni","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101977659","display_name":"Xiaohui Xie","orcid":"https://orcid.org/0000-0002-2879-6464"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Xie","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056311070","display_name":"Sabita Maharjan","orcid":"https://orcid.org/0000-0002-4616-8488"},"institutions":[{"id":"https://openalex.org/I2799829267","display_name":"Simula Research Laboratory","ror":"https://ror.org/00vn06n10","country_code":"NO","type":"facility","lineage":["https://openalex.org/I2799829267"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Sabita Maharjan","raw_affiliation_strings":["Simula research Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simula research Laboratory","institution_ids":["https://openalex.org/I2799829267"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100456225","display_name":"Yan Zhang","orcid":"https://orcid.org/0000-0002-2917-1490"},"institutions":[{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Yan Zhang","raw_affiliation_strings":["University of Oslo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oslo","institution_ids":["https://openalex.org/I184942183"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8887,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.7413686,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"33","issue":"1","first_page":"78","last_page":"83"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11158","display_name":"Wireless Networks and Protocols","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.8523692488670349},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6541166305541992},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.5944620370864868},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.533008873462677},{"id":"https://openalex.org/keywords/queue","display_name":"Queue","score":0.5058645606040955},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.459940642118454},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.43964090943336487},{"id":"https://openalex.org/keywords/provisioning","display_name":"Provisioning","score":0.4258612394332886},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4022437632083893},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37817469239234924},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3602890372276306},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2821786403656006}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8523692488670349},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6541166305541992},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.5944620370864868},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.533008873462677},{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.5058645606040955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.459940642118454},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.43964090943336487},{"id":"https://openalex.org/C172191483","wikidata":"https://www.wikidata.org/wiki/Q1071806","display_name":"Provisioning","level":2,"score":0.4258612394332886},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4022437632083893},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37817469239234924},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3602890372276306},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2821786403656006},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mnet.2018.1700356","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mnet.2018.1700356","pdf_url":null,"source":{"id":"https://openalex.org/S186584794","display_name":"IEEE Network","issn_l":"0890-8044","issn":["0890-8044","1558-156X"],"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 Network","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1894623711","https://openalex.org/W1987869000","https://openalex.org/W1988348999","https://openalex.org/W1989115430","https://openalex.org/W2039506494","https://openalex.org/W2116685941","https://openalex.org/W2120815373","https://openalex.org/W2507200569","https://openalex.org/W2507908806","https://openalex.org/W2513187822","https://openalex.org/W2566425973","https://openalex.org/W2591820339","https://openalex.org/W2617931713","https://openalex.org/W2770342399","https://openalex.org/W6678246861"],"related_works":["https://openalex.org/W2355927362","https://openalex.org/W2748366205","https://openalex.org/W2283260142","https://openalex.org/W2169100431","https://openalex.org/W2961085424","https://openalex.org/W3158950830","https://openalex.org/W3195168932","https://openalex.org/W1996541855","https://openalex.org/W4288450369","https://openalex.org/W3188322575"],"abstract_inverted_index":{"Intelligent":[0],"human":[1],"detection":[2,182],"based":[3],"on":[4],"WiFi":[5,25,54,159],"is":[6,141],"a":[7,13,70,154],"technique":[8],"that":[9,175],"has":[10],"recently":[11],"attracted":[12],"significant":[14],"amount":[15],"of":[16,23,30,48,60,119,178],"interest":[17],"from":[18,66],"research":[19],"communities.":[20],"The":[21,171],"use":[22,104],"ubiquitous":[24],"to":[26,52,56,85,110,115,137],"detect":[27],"the":[28,49,58,74,81,89,99,105,117,122,131,149,176],"number":[29,59,118],"queuing":[31,61],"persons":[32,62],"can":[33,183],"facilitate":[34],"dynamic":[35],"planning":[36],"and":[37,87,96,145,161,168],"appropriate":[38],"service":[39],"provisioning.":[40],"In":[41,73],"this":[42],"article,":[43],"we":[44,78,103,126],"propose":[45],"HFD,":[46],"one":[47],"first":[50,79],"schemes":[51],"leverage":[53],"signals":[55],"estimate":[57,116],"by":[63],"employing":[64],"classifiers":[65],"machine":[67,108],"learning":[68],"in":[69,121,142,164],"device-free":[71],"manner.":[72],"proposed":[75,180],"HFD":[76,181],"scheme,":[77],"utilize":[80],"sliding":[82],"window":[83],"method":[84],"filter":[86],"remove":[88],"outliers.":[90],"We":[91,152],"extract":[92],"two":[93,113],"characteristics,":[94],"skewness":[95],"kurtosis,":[97],"as":[98],"identification":[100],"features.":[101],"Then,":[102],"support":[106],"vector":[107],"(SVM)":[109],"classify":[111],"these":[112],"features":[114],"people":[120],"current":[123],"queue.":[124],"Finally,":[125],"combine":[127],"our":[128,179],"scheme":[129],"with":[130,190],"latest":[132],"Fresnel":[133],"Zone":[134],"model":[135],"theory":[136],"determine":[138],"whether":[139],"someone":[140],"or":[143],"out,":[144],"thus":[146],"dynamically":[147],"adjust":[148],"detected":[150],"value.":[151],"implement":[153],"proof-of-concept":[155],"prototype":[156],"upon":[157],"commercial":[158],"devices":[160],"evaluate":[162],"it":[163],"both":[165],"conference":[166],"room":[167],"corridor":[169],"scenarios.":[170],"experimental":[172],"results":[173],"show":[174],"accuracy":[177],"be":[184],"maintained":[185],"at":[186],"about":[187],"90":[188],"percent":[189],"high":[191],"robustness.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}
