{"id":"https://openalex.org/W2942209001","doi":"https://doi.org/10.1177/1550147719837916","title":"A WiFi RSSI ranking fingerprint positioning system and its application to indoor activities of daily living recognition","display_name":"A WiFi RSSI ranking fingerprint positioning system and its application to indoor activities of daily living recognition","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2942209001","doi":"https://doi.org/10.1177/1550147719837916","mag":"2942209001"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1177/1550147719837916","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/1550147719837916","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.sagepub.com/doi/pdf/10.1177/1550147719837916","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089090475","display_name":"Zixiang Ma","orcid":"https://orcid.org/0000-0002-2900-5214"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zixiang Ma","raw_affiliation_strings":["IoT2US Lab, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK"],"affiliations":[{"raw_affiliation_string":"IoT2US Lab, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102785037","display_name":"Bang Wu","orcid":"https://orcid.org/0000-0002-8097-7852"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Bang Wu","raw_affiliation_strings":["IoT2US Lab, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK"],"affiliations":[{"raw_affiliation_string":"IoT2US Lab, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018639589","display_name":"Stefan Poslad","orcid":"https://orcid.org/0000-0002-3156-9609"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Stefan Poslad","raw_affiliation_strings":["IoT2US Lab, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK"],"affiliations":[{"raw_affiliation_string":"IoT2US Lab, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102785037"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":{"value":2200,"currency":"USD","value_usd":2200,"provenance":"doaj"},"apc_paid":{"value":2200,"currency":"USD","value_usd":2200,"provenance":"doaj"},"fwci":1.79,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":24,"citation_normalized_percentile":{"value":0.810794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":94},"biblio":{"volume":"15","issue":"4","first_page":"155014771983791","last_page":"155014771983791"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Wireless Indoor Localization Techniques and Systems","score":1.0,"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":"Wireless Indoor Localization Techniques and Systems","score":1.0,"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":"Understanding Human Mobility Patterns","score":0.98,"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/T10860","display_name":"Speech Enhancement Techniques","score":0.9759,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wifi-fingerprinting","display_name":"WiFi Fingerprinting","score":0.645639},{"id":"https://openalex.org/keywords/indoor-localization","display_name":"Indoor Localization","score":0.588181},{"id":"https://openalex.org/keywords/indoor-tracking","display_name":"Indoor Tracking","score":0.578203},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.55136424},{"id":"https://openalex.org/keywords/rf-based-positioning","display_name":"RF-Based Positioning","score":0.534024},{"id":"https://openalex.org/keywords/rssi-based-localization","display_name":"RSSI-Based Localization","score":0.526939},{"id":"https://openalex.org/keywords/signal-strength","display_name":"Signal strength","score":0.50139856},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.44830716}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8492091},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.55136424},{"id":"https://openalex.org/C176808163","wikidata":"https://www.wikidata.org/wiki/Q17105794","display_name":"Signal strength","level":3,"score":0.50139856},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4956013},{"id":"https://openalex.org/C2778913798","wikidata":"https://www.wikidata.org/wiki/Q1195672","display_name":"Received signal strength indication","level":3,"score":0.450328},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.44830716},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.44711325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3828796},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33296692},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.2622938},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.22965902}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1177/1550147719837916","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/1550147719837916","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/27264f49cef04c7a827b8037757bf594","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":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1177/1550147719837916","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/1550147719837916","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.84}],"grants":[{"funder":"https://openalex.org/F4320309480","funder_display_name":"Nvidia","award_id":null},{"funder":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":29,"referenced_works":["https://openalex.org/W1558459496","https://openalex.org/W1576840513","https://openalex.org/W1588659085","https://openalex.org/W1983902027","https://openalex.org/W2015529002","https://openalex.org/W2116070975","https://openalex.org/W2133703414","https://openalex.org/W2141336889","https://openalex.org/W2159200188","https://openalex.org/W2181695673","https://openalex.org/W2407522548","https://openalex.org/W2550856709","https://openalex.org/W2596727813","https://openalex.org/W2623253267","https://openalex.org/W2769137718","https://openalex.org/W2787354563","https://openalex.org/W2802595550","https://openalex.org/W2914189542","https://openalex.org/W2914856327","https://openalex.org/W2997125510","https://openalex.org/W3148515236","https://openalex.org/W4205097557","https://openalex.org/W4230393658","https://openalex.org/W4234865505","https://openalex.org/W4236661314","https://openalex.org/W4243903202","https://openalex.org/W4312928078","https://openalex.org/W4365799956","https://openalex.org/W4398775246"],"related_works":["https://openalex.org/W3121138807","https://openalex.org/W2803794770","https://openalex.org/W2612405521","https://openalex.org/W2551177135","https://openalex.org/W2388949434","https://openalex.org/W2366746442","https://openalex.org/W2357590506","https://openalex.org/W2151430090","https://openalex.org/W2098964748","https://openalex.org/W1991684817"],"abstract_inverted_index":{"WiFi":[0,26],"received":[1,93],"signal":[2,70,94],"strength":[3,71,95],"indicator":[4,72,96],"seem":[5],"to":[6,39,51,77,116,139,155,168,193,205,218],"be":[7,40,75],"the":[8,11,22,57,118,124,141,157,182],"basis":[9],"of":[10,24,59,101,176,208,224],"most":[12],"widely":[13],"used":[14,76,154,167,203],"method":[15,98],"for":[16,63,144,232],"indoor":[17,198],"positioning":[18,119,125,199,222],"systems":[19],"driven":[20],"by":[21],"growth":[23],"deployed":[25],"access":[27,106],"points,":[28],"especially":[29],"within":[30],"urban":[31],"areas.":[32],"However,":[33],"there":[34],"are":[35,137],"still":[36],"several":[37],"challenges":[38],"tackled:":[41],"its":[42,67],"accuracy":[43,223,231],"is":[44,49,114,152,166],"often":[45],"2\u20133":[46],"m,":[47],"it":[48,204],"prone":[50],"interference":[52,80],"and":[53,56,81,122,132,189,195,227],"attenuation":[54,82],"effects,":[55],"diversity":[58],"radio":[60],"frequency":[61],"receivers,":[62],"example,":[64],"smartphones,":[65],"affects":[66],"accuracy.":[68,126],"Received":[69],"fingerprinting":[73],"can":[74],"mitigate":[78],"against":[79],"effects.":[83],"In":[84,191],"this":[85],"article,":[86],"we":[87,201],"present":[88],"a":[89,111,133,228],"novel,":[90],"more":[91],"accurate,":[92],"ranking\u2013based":[97],"that":[99,185],"consists":[100],"three":[102],"parts.":[103],"First,":[104],"an":[105,148,212,220],"point":[107],"selection":[108],"based":[109],"on":[110],"genetic":[112],"algorithm":[113],"applied":[115,138],"reduce":[117],"computational":[120],"cost":[121],"increase":[123],"Second,":[127],"Kendall":[128],"tau":[129],"correlation":[130],"coefficient":[131],"convolutional":[134],"neural":[135],"network":[136],"extract":[140],"ranking":[142],"features":[143],"estimating":[145],"locations.":[146],"Third,":[147],"extended":[149],"Kalman":[150],"filter":[151],"then":[153],"smooth":[156],"estimated":[158],"sequential":[159],"locations":[160],"before":[161],"multi-dimensional":[162],"dynamic":[163],"time":[164,188],"warping":[165],"match":[169],"similar":[170],"trajectories":[171],"or":[172,181],"paths":[173],"representing":[174],"activities":[175,207],"daily":[177,209],"living":[178,210],"from":[179],"different":[180],"same":[183],"users":[184],"vary":[186],"in":[187,211],"space.":[190],"order":[192],"leverage":[194],"evaluate":[196],"our":[197],"system,":[200],"also":[202],"recognise":[206],"office-like":[213],"environment.":[214],"It":[215],"was":[216],"able":[217],"achieve":[219],"average":[221],"1.42":[225],"m":[226],"79.5%":[229],"recognition":[230],"nine":[233],"location-driven":[234],"activities.":[235]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2942209001","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5}],"updated_date":"2024-10-02T22:48:25.875532","created_date":"2019-05-03"}
