{"id":"https://openalex.org/W7127615206","doi":"https://doi.org/10.1109/ccnc65079.2026.11366374","title":"Beyond Sub-6 GHz: Leveraging mmWave Wi-Fi for Gait-Based Person Identification","display_name":"Beyond Sub-6 GHz: Leveraging mmWave Wi-Fi for Gait-Based Person Identification","publication_year":2026,"publication_date":"2026-01-09","ids":{"openalex":"https://openalex.org/W7127615206","doi":"https://doi.org/10.1109/ccnc65079.2026.11366374"},"language":null,"primary_location":{"id":"doi:10.1109/ccnc65079.2026.11366374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc65079.2026.11366374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC)","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/A5008268707","display_name":"Nabeel Nisar Bhat","orcid":"https://orcid.org/0000-0003-2375-8618"},"institutions":[{"id":"https://openalex.org/I149213910","display_name":"University of Antwerp","ror":"https://ror.org/008x57b05","country_code":"BE","type":"education","lineage":["https://openalex.org/I149213910"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Nabeel Nisar Bhat","raw_affiliation_strings":["University of Antwerp – Imec,IDLab,Antwerp,Belgium"],"affiliations":[{"raw_affiliation_string":"University of Antwerp – Imec,IDLab,Antwerp,Belgium","institution_ids":["https://openalex.org/I149213910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120605383","display_name":"Maksim Karnaukh","orcid":null},"institutions":[{"id":"https://openalex.org/I149213910","display_name":"University of Antwerp","ror":"https://ror.org/008x57b05","country_code":"BE","type":"education","lineage":["https://openalex.org/I149213910"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Maksim Karnaukh","raw_affiliation_strings":["University of Antwerp,Faculty of Science,Antwerp,Belgium"],"affiliations":[{"raw_affiliation_string":"University of Antwerp,Faculty of Science,Antwerp,Belgium","institution_ids":["https://openalex.org/I149213910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035645727","display_name":"Jakob Struye","orcid":"https://orcid.org/0000-0003-1360-7672"},"institutions":[{"id":"https://openalex.org/I149213910","display_name":"University of Antwerp","ror":"https://ror.org/008x57b05","country_code":"BE","type":"education","lineage":["https://openalex.org/I149213910"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Jakob Struye","raw_affiliation_strings":["University of Antwerp – Imec,IDLab,Antwerp,Belgium"],"affiliations":[{"raw_affiliation_string":"University of Antwerp – Imec,IDLab,Antwerp,Belgium","institution_ids":["https://openalex.org/I149213910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017565613","display_name":"Rafael Berkvens","orcid":"https://orcid.org/0000-0003-0064-5020"},"institutions":[{"id":"https://openalex.org/I149213910","display_name":"University of Antwerp","ror":"https://ror.org/008x57b05","country_code":"BE","type":"education","lineage":["https://openalex.org/I149213910"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Rafael Berkvens","raw_affiliation_strings":["University of Antwerp – Imec,IDLab,Antwerp,Belgium"],"affiliations":[{"raw_affiliation_string":"University of Antwerp – Imec,IDLab,Antwerp,Belgium","institution_ids":["https://openalex.org/I149213910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047378679","display_name":"Jeroen Famaey","orcid":"https://orcid.org/0000-0002-3587-1354"},"institutions":[{"id":"https://openalex.org/I149213910","display_name":"University of Antwerp","ror":"https://ror.org/008x57b05","country_code":"BE","type":"education","lineage":["https://openalex.org/I149213910"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Jeroen Famaey","raw_affiliation_strings":["University of Antwerp – Imec,IDLab,Antwerp,Belgium"],"affiliations":[{"raw_affiliation_string":"University of Antwerp – Imec,IDLab,Antwerp,Belgium","institution_ids":["https://openalex.org/I149213910"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5008268707"],"corresponding_institution_ids":["https://openalex.org/I149213910"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.57527824,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.4887999892234802,"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"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.4887999892234802,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.41769999265670776,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.01119999960064888,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/identification","display_name":"Identification (biology)","score":0.7583000063896179},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.36169999837875366},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.35510000586509705},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.352400004863739},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3027999997138977}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7583000063896179},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7461000084877014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3917999863624573},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.36169999837875366},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.35510000586509705},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.352400004863739},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3027999997138977},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2928999960422516},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2879999876022339},{"id":"https://openalex.org/C204222849","wikidata":"https://www.wikidata.org/wiki/Q104954","display_name":"Radio-frequency identification","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2734000086784363},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.2671999931335449}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccnc65079.2026.11366374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc65079.2026.11366374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2510977315","https://openalex.org/W2517331439","https://openalex.org/W2907300063","https://openalex.org/W2938514801","https://openalex.org/W2979680912","https://openalex.org/W3015392474","https://openalex.org/W3034552520","https://openalex.org/W3109270207","https://openalex.org/W3122806818","https://openalex.org/W3201440154","https://openalex.org/W4200041533","https://openalex.org/W4206286792","https://openalex.org/W4225492312","https://openalex.org/W4253510307","https://openalex.org/W4283022747","https://openalex.org/W4307823382","https://openalex.org/W4313022748","https://openalex.org/W4385485252","https://openalex.org/W4392472696"],"related_works":[],"abstract_inverted_index":{"Person":[0],"identification":[1,27,61,80,138],"plays":[2],"a":[3,29,86,103],"vital":[4],"role":[5],"in":[6,97],"enabling":[7],"intelligent,":[8],"personalized,":[9],"and":[10,74,111],"secure":[11],"human-computer":[12],"interaction.":[13],"Recent":[14],"research":[15],"has":[16],"demonstrated":[17],"the":[18,43,67,93],"feasibility":[19],"of":[20,45,89],"leveraging":[21],"Wi-Fi":[22,76,133],"signals":[23,77,134],"for":[24,59,78],"passive":[25],"person":[26,60,79],"using":[28,85],"person\u2019s":[30],"unique":[31],"gait":[32],"pattern.":[33],"Although":[34],"most":[35],"existing":[36],"work":[37,65],"focuses":[38],"on":[39,141],"sub-6":[40,72],"GHz":[41,73],"frequencies,":[42],"emergence":[44],"mmWave":[46,75,132],"offers":[47],"new":[48],"opportunities":[49],"through":[50],"its":[51,56],"finer":[52],"spatial":[53],"resolution,":[54],"though":[55],"comparative":[57,69],"advantages":[58],"remain":[62],"unexplored.":[63],"This":[64],"presents":[66],"first":[68],"study":[70],"between":[71],"with":[81,146],"commercial-off-the-shelf":[82],"(COTS)":[83],"Wi-Fi,":[84],"novel":[87],"dataset":[88],"synchronized":[90],"measurements":[91],"from":[92],"two":[94],"frequency":[95,116],"bands":[96],"an":[98],"indoor":[99],"environment.":[100],"To":[101],"ensure":[102],"fair":[104],"comparison,":[105],"we":[106,122],"apply":[107],"identical":[108],"training":[109],"pipelines":[110],"model":[112],"configurations":[113],"across":[114],"both":[115],"bands.":[117],"Leveraging":[118],"end-to-end":[119],"deep":[120],"learning,":[121],"show":[123],"that":[124],"even":[125],"at":[126],"low":[127],"sampling":[128],"rates":[129],"(10":[130],"Hz),":[131],"can":[135],"achieve":[136],"high":[137],"accuracy":[139],"(91.2%":[140],"20":[142],"individuals)":[143],"when":[144],"combined":[145],"effective":[147],"background":[148],"subtraction.":[149]},"counts_by_year":[],"updated_date":"2026-02-07T06:11:34.122080","created_date":"2026-02-06T00:00:00"}