{"id":"https://openalex.org/W3042588155","doi":"https://doi.org/10.1109/access.2020.3009123","title":"Wihi: WiFi Based Human Identity Identification Using Deep Learning","display_name":"Wihi: WiFi Based Human Identity Identification Using Deep Learning","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3042588155","doi":"https://doi.org/10.1109/access.2020.3009123","mag":"3042588155"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3009123","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3009123","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09139918.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09139918.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027030834","display_name":"Jianyang Ding","orcid":"https://orcid.org/0000-0001-8582-150X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianyang Ding","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, Xi\u2019an, China","School of Telecommunications Engineering, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-8582-150X","affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424451","display_name":"Yong Wang","orcid":"https://orcid.org/0000-0002-5192-4233"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Wang","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, Xi\u2019an, China","School of Telecommunications Engineering, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-5192-4233","affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008990197","display_name":"Xiangcong Fu","orcid":"https://orcid.org/0000-0002-9667-4768"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangcong Fu","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, Xi\u2019an, China","School of Telecommunications Engineering, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-9667-4768","affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.9772,"has_fulltext":true,"cited_by_count":49,"citation_normalized_percentile":{"value":0.86657674,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"129246","last_page":"129262"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9990000128746033,"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":0.9990000128746033,"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/T10860","display_name":"Speech and Audio Processing","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9909999966621399,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7474015951156616},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6626007556915283},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.5472287535667419},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4608473479747772},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4338099956512451}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7474015951156616},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6626007556915283},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.5472287535667419},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4608473479747772},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4338099956512451},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3009123","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3009123","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09139918.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:43bf3af2fdf6429b93623d7ffb94edab","is_oa":true,"landing_page_url":"https://doaj.org/article/43bf3af2fdf6429b93623d7ffb94edab","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 129246-129262 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3009123","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3009123","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09139918.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3143874795","display_name":null,"funder_award_id":"2020JM-180","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"},{"id":"https://openalex.org/G681497594","display_name":"\u57fa\u4e8e\u4fe1\u53f7\u7ed3\u6784\u7a00\u758f\u6027\u53d1\u6398\u7684\u8d85\u5927\u5e26\u5bbdMIMO\u7cfb\u7edf\u9884\u5931\u771f\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61671346","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323230","display_name":"Xidian University","ror":"https://ror.org/05s92vm98"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3042588155.pdf","grobid_xml":"https://content.openalex.org/works/W3042588155.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W100004108","https://openalex.org/W1522301498","https://openalex.org/W1835233506","https://openalex.org/W1894623711","https://openalex.org/W1922286204","https://openalex.org/W1975424657","https://openalex.org/W1984261871","https://openalex.org/W1989115430","https://openalex.org/W2025006100","https://openalex.org/W2042929577","https://openalex.org/W2054642006","https://openalex.org/W2089695767","https://openalex.org/W2108665278","https://openalex.org/W2115689562","https://openalex.org/W2124874699","https://openalex.org/W2137273147","https://openalex.org/W2143228105","https://openalex.org/W2157770256","https://openalex.org/W2168821867","https://openalex.org/W2345136132","https://openalex.org/W2510977315","https://openalex.org/W2517331439","https://openalex.org/W2522247037","https://openalex.org/W2525173203","https://openalex.org/W2550797816","https://openalex.org/W2554581053","https://openalex.org/W2560305784","https://openalex.org/W2585183952","https://openalex.org/W2748923651","https://openalex.org/W2765186128","https://openalex.org/W2766272572","https://openalex.org/W2767979715","https://openalex.org/W2783736101","https://openalex.org/W2788518751","https://openalex.org/W2812001514","https://openalex.org/W2902084433","https://openalex.org/W2952065976","https://openalex.org/W2964121744","https://openalex.org/W2976832373","https://openalex.org/W3103757520","https://openalex.org/W4248506240","https://openalex.org/W4253510307","https://openalex.org/W6631190155","https://openalex.org/W6638577185","https://openalex.org/W6748363653"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W4321369474","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"Human":[0],"identity":[1,41,74,184,216],"identification":[2,42,59,75],"based":[3,72],"on":[4,196],"channel":[5,136],"state":[6],"information":[7,180],"(CSI)":[8],"using":[9,77],"commercial":[10,200],"WiFi":[11,201],"devices":[12],"has":[13],"drawn":[14],"increasingly":[15],"attention,":[16],"and":[17,56,146,177,203],"it":[18],"can":[19,226],"be":[20],"used":[21],"in":[22,119,139,149],"many":[23],"applications":[24],"such":[25],"as":[26],"smart":[27],"home,":[28],"intrusion":[29],"detection,":[30],"building":[31],"monitoring,":[32],"activity":[33],"recognition,":[34],"etc.":[35],"However,":[36],"most":[37],"of":[38,49,98,189,199,215],"the":[39,47,66,96,99,171,190,213,223],"existing":[40],"approaches":[43],"are":[44,61,129],"sensitive":[45],"to":[46,89,94,109,121,169,211],"influence":[48,97],"random":[50,100],"noise":[51],"derived":[52],"from":[53,63,131],"indoor":[54],"environments,":[55],"thus":[57],"their":[58],"accuracies":[60],"far":[62],"satisfactory.":[64],"In":[65],"present":[67],"paper,":[68],"a":[69,155,197,228],"device-free":[70],"CSI":[71,112],"human":[73,183],"approach":[76,193],"deep":[78],"learning":[79],"(Wihi)":[80],"is":[81,107,167,194],"proposed.":[82],"Wihi":[83,192,225],"mainly":[84],"utilizes":[85],"three":[86],"key":[87],"techniques":[88],"identify":[90],"different":[91,132,150],"people.":[92],"Firstly,":[93],"eliminate":[95],"noise,":[101],"discrete":[102],"wavelet":[103],"transform":[104],"(DWT)":[105],"strategy":[106],"introduced":[108],"denoise":[110],"raw":[111],"data":[113],"by":[114],"leveraging":[115],"signal":[116],"decomposition.":[117],"Secondly,":[118],"order":[120],"characterize":[122],"human\u2019s":[123],"gaits":[124],"profoundly,":[125],"several":[126],"representative":[127,172],"features":[128,174],"exploited":[130],"statistical":[133],"profiles,":[134],"including":[135],"power":[137],"distribution":[138,148],"time":[140],"domain":[141],"(CPD),":[142],"time-frequency":[143],"analysis":[144],"(TFA),":[145],"energy":[147],"frequency":[151],"bands":[152],"(ED).":[153],"Thirdly,":[154],"recurrent":[156],"neural":[157],"network":[158],"(RNN)":[159],"model":[160],"with":[161,232],"long":[162],"short-term":[163],"memory":[164],"(LSTM)":[165],"blocks":[166],"employed":[168],"learn":[170],"gait":[173],"extracted":[175],"above":[176],"encode":[178],"temporal":[179],"for":[181],"realizing":[182],"identification.":[185,217],"The":[186,218],"proof-of-concept":[187],"prototype":[188],"proposed":[191,224],"implemented":[195],"set":[198],"devices,":[202],"multiple":[204],"comprehensive":[205],"experiments":[206],"have":[207],"been":[208],"carried":[209],"out":[210],"evaluate":[212],"performance":[214,230],"experimental":[219],"results":[220],"confirm":[221],"that":[222],"achieve":[227],"satisfactory":[229],"compared":[231],"some":[233],"state-of-the-art":[234],"approaches.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
