{"id":"https://openalex.org/W2897260529","doi":null,"title":"WiPIN: Operation-free Person Identification using WiFi Signals.","display_name":"WiPIN: Operation-free Person Identification using WiFi Signals.","publication_year":2018,"publication_date":"2018-10-06","ids":{"openalex":"https://openalex.org/W2897260529","mag":"2897260529"},"language":"en","primary_location":{"id":"mag:2897260529","doi":null,"is_oa":false,"landing_page_url":"http://export.arxiv.org/pdf/1810.04106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5100455782","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0002-0750-6990","observed_orcids":["https://orcid.org/0000-0002-0750-6990"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fei Wang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0750-6990","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023885705","display_name":"Jinsong Han","orcid":"https://orcid.org/0000-0001-5064-1955","observed_orcids":["https://orcid.org/0000-0001-5064-1955"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinsong Han","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-5064-1955","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083215579","display_name":"Ziyi Dai","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ziyi Dai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057513904","display_name":"Han Ding","orcid":"https://orcid.org/0000-0003-2905-6369","observed_orcids":["https://orcid.org/0000-0003-2905-6369","https://orcid.org/0009-0000-5073-7789"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han Ding","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-2905-6369","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5050270789","display_name":"Dong Huang","orcid":"https://orcid.org/0000-0003-3923-8828","observed_orcids":["https://orcid.org/0000-0003-3923-8828"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong Huang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-3923-8828","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.356,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.51308994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.6304000020027161,"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":0.6304000020027161,"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":0.1428000032901764,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.05739999935030937,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/human-identification","display_name":"personal identification","score":0.777999997138977},{"id":"https://openalex.org/keywords/wi-fi-signals","display_name":"Wi-Fi signals","score":0.7630000114440918},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.6930000185966492},{"id":"https://openalex.org/keywords/gait-recognition","display_name":"gait recognition","score":0.6539999842643738},{"id":"https://openalex.org/keywords/signal-preprocessing","display_name":"signal preprocessing","score":0.6349999904632568},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.8420000076293945},{"id":"https://openalex.org/keywords/identity-matching","display_name":"identity matching","score":0.9089999794960022}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7684130668640137},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.655469536781311},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6452393531799316},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5874619483947754},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.4977550804615021},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.448879212141037},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4454965591430664},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.41995829343795776},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4177413582801819},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.21188673377037048},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1531587541103363},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2897260529","doi":null,"is_oa":false,"landing_page_url":"http://export.arxiv.org/pdf/1810.04106","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W653727852","https://openalex.org/W1586133453","https://openalex.org/W1964357740","https://openalex.org/W1976081290","https://openalex.org/W1983301216","https://openalex.org/W1986839095","https://openalex.org/W1989115430","https://openalex.org/W1995330098","https://openalex.org/W2010882865","https://openalex.org/W2017439879","https://openalex.org/W2046128267","https://openalex.org/W2055389916","https://openalex.org/W2064081294","https://openalex.org/W2091815885","https://openalex.org/W2108525321","https://openalex.org/W2118585731","https://openalex.org/W2143228105","https://openalex.org/W2145417574","https://openalex.org/W2150796457","https://openalex.org/W2153635508","https://openalex.org/W2157519031","https://openalex.org/W2163605009","https://openalex.org/W2169908475","https://openalex.org/W2219995598","https://openalex.org/W2345136132","https://openalex.org/W2509382177","https://openalex.org/W2517331439","https://openalex.org/W2522247037","https://openalex.org/W2625969058","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W3009976482","https://openalex.org/W7162313960","https://openalex.org/W2345136132","https://openalex.org/W4312572045","https://openalex.org/W4365151069","https://openalex.org/W2510977315","https://openalex.org/W4312895167","https://openalex.org/W2783524404","https://openalex.org/W2339314130","https://openalex.org/W2776148705"],"abstract_inverted_index":{"Wi-Fi":[0,121,148],"signals-based":[1],"person":[2,31,43,98,125,138],"identification":[3,60,75,99,166],"attracts":[4],"increasing":[5],"attention":[6],"in":[7,74,91],"the":[8,30,35,79,88,131,143],"booming":[9],"Internet-of-Things":[10],"era":[11],"mainly":[12],"due":[13],"to":[14,33,38,86,173],"its":[15],"pervasiveness":[16],"and":[17,58,108,156,177],"passiveness.":[18],"Most":[19],"previous":[20],"work":[21,70],"applies":[22],"gaits":[23],"extracted":[24],"from":[25],"WiFi":[26],"distortions":[27],"caused":[28],"by":[29,150],"walking":[32],"achieve":[34],"identification.":[36,139],"However,":[37],"extract":[39],"useful":[40],"gait,":[41],"a":[42,47],"must":[44],"walk":[45],"along":[46],"pre-defined":[48],"path":[49],"for":[50,137],"several":[51],"meters,":[52],"which":[53,133],"requires":[54,104],"user":[55,80,106],"high":[56,171],"collaboration":[57,107],"increases":[59],"time":[61,180],"overhead,":[62,181],"thus":[63],"limiting":[64],"use":[65],"scenarios.":[66],"Moreover,":[67],"gait":[68],"based":[69,114],"has":[71],"severe":[72],"shortcoming":[73],"performance,":[76],"especially":[77],"when":[78,128],"volume":[81],"is":[82,113,134],"large.":[83],"In":[84],"order":[85],"eliminate":[87],"above":[89],"limitations,":[90],"this":[92],"paper,":[93],"we":[94,141],"present":[95],"an":[96,116],"operation-free":[97],"system,":[100],"namely":[101],"WiPIN,":[102],"that":[103,120,162],"least":[105],"achieves":[109,164],"good":[110],"performance.":[111],"WiPIN":[112,163],"on":[115,145],"entirely":[117],"new":[118],"insight":[119],"signals":[122],"would":[123],"carry":[124],"body":[126],"information":[127],"propagating":[129],"through":[130],"body,":[132],"potentially":[135],"discriminated":[136],"Then":[140],"demonstrate":[142],"feasibility":[144],"commodity":[146],"off-the-shelf":[147],"devices":[149],"well-designed":[151],"signal":[152],"pre-processing,":[153],"feature":[154],"extraction,":[155],"identity":[157],"matching":[158],"algorithms.":[159],"Results":[160],"show":[161],"92%":[165],"accuracy":[167],"over":[168],"30":[169],"users,":[170],"robustness":[172],"various":[174],"experimental":[175],"settings,":[176],"low":[178],"identifying":[179],"i.e.,":[182],"less":[183],"than":[184],"300ms.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2018-10-26T00:00:00"}