{"id":"https://openalex.org/W2001093157","doi":"https://doi.org/10.1145/2661829.2661873","title":"Exploring Tag-Free RFID-Based Passive Localization and Tracking via Learning-Based Probabilistic Approaches","display_name":"Exploring Tag-Free RFID-Based Passive Localization and Tracking via Learning-Based Probabilistic Approaches","publication_year":2014,"publication_date":"2014-11-03","ids":{"openalex":"https://openalex.org/W2001093157","doi":"https://doi.org/10.1145/2661829.2661873","mag":"2001093157"},"language":"en","primary_location":{"id":"doi:10.1145/2661829.2661873","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661829.2661873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management","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/A5052731721","display_name":"Lina Yao","orcid":"https://orcid.org/0000-0002-4149-839X"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Lina Yao","raw_affiliation_strings":["The University of Adelaide, Adelaide, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Adelaide, Adelaide, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074225885","display_name":"Wenjie Ruan","orcid":"https://orcid.org/0000-0002-8311-8738"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wenjie Ruan","raw_affiliation_strings":["The University of Adelaide, Adelaide, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Adelaide, Adelaide, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080744092","display_name":"Quan Z. Sheng","orcid":"https://orcid.org/0000-0002-3326-4147"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Quan Z. Sheng","raw_affiliation_strings":["The University of Adelaide, Adelaide, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Adelaide, Adelaide, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100372201","display_name":"Xue Li","orcid":"https://orcid.org/0000-0002-4515-6792"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xue Li","raw_affiliation_strings":["The University of Queensland, Brisbane, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Queensland, Brisbane, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007286082","display_name":"Nicholas J.G. Falkner","orcid":null},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Nicholas J.G. Falkner","raw_affiliation_strings":["The University of Adelaide, Adelaide, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Adelaide, Adelaide, Australia","institution_ids":["https://openalex.org/I5681781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5052731721"],"corresponding_institution_ids":["https://openalex.org/I5681781"],"apc_list":null,"apc_paid":null,"fwci":2.1283,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.88483435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1799","last_page":"1802"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","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":"Indoor and Outdoor Localization Technologies","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/T10986","display_name":"RFID technology advancements","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.817298173904419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.796470046043396},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.7737293243408203},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7153410911560059},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6383466720581055},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.6080966591835022},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.598897397518158},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.48234742879867554},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4715580642223358},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.43340760469436646},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4295763671398163},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39474040269851685},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.22132784128189087},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09141159057617188}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.817298173904419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.796470046043396},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.7737293243408203},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7153410911560059},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6383466720581055},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.6080966591835022},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.598897397518158},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.48234742879867554},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4715580642223358},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.43340760469436646},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4295763671398163},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39474040269851685},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.22132784128189087},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09141159057617188},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1145/2661829.2661873","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661829.2661873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.700.7941","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.700.7941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cs.adelaide.edu.au/%7Ewenjie/CIKM2014poster.pdf","raw_type":"text"},{"id":"pmh:oai:digital.library.adelaide.edu.au:2440/108616","is_oa":false,"landing_page_url":"http://hdl.handle.net/2440/108616","pdf_url":null,"source":{"id":"https://openalex.org/S4306401835","display_name":"Adelaide Research & Scholarship (AR&S) (University of Adelaide)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5681781","host_organization_name":"The University of Adelaide","host_organization_lineage":["https://openalex.org/I5681781"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dx.doi.org/10.1145/2661829.2661873","raw_type":"Conference paper"},{"id":"pmh:oai:eprints.lancs.ac.uk:134237","is_oa":false,"landing_page_url":"https://eprints.lancs.ac.uk/id/eprint/134237/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Contribution in Book/Report/Proceedings"},{"id":"pmh:oai:espace.library.uq.edu.au:UQ:985fe45","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402388","display_name":"Queensland's institutional digital repository (The University of Queensland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165143802","host_organization_name":"The University of Queensland","host_organization_lineage":["https://openalex.org/I165143802"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1579271636","https://openalex.org/W1976152410","https://openalex.org/W1982172586","https://openalex.org/W2008953084","https://openalex.org/W2039506494","https://openalex.org/W2072489003","https://openalex.org/W2074308254","https://openalex.org/W2114142662","https://openalex.org/W2130662829","https://openalex.org/W2133553601","https://openalex.org/W2151756758","https://openalex.org/W2163993204","https://openalex.org/W2999214452","https://openalex.org/W6634685263"],"related_works":["https://openalex.org/W4324119469","https://openalex.org/W2164868312","https://openalex.org/W2473373438","https://openalex.org/W2368486525","https://openalex.org/W2160650576","https://openalex.org/W2077224612","https://openalex.org/W2153481672","https://openalex.org/W2153238387","https://openalex.org/W84255947","https://openalex.org/W4312864369"],"abstract_inverted_index":{"RFID-based":[0],"localization":[1,10,57,107],"and":[2,20,35,81,122,142,149],"tracking":[3,36],"has":[4],"some":[5],"promising":[6],"potentials.":[7],"By":[8],"combining":[9],"with":[11],"its":[12],"identification":[13],"capability,":[14],"existing":[15],"applications":[16,22],"can":[17,23],"be":[18,24],"enhanced":[19],"new":[21],"developed.":[25],"In":[26,62],"this":[27],"paper,":[28],"we":[29,64,114],"investigate":[30],"a":[31,51,59,111,135],"tag-free":[32],"indoor":[33],"localizing":[34],"problem":[37],"(e.g.,":[38],"people":[39],"tracking)":[40],"without":[41],"requiring":[42],"subjects":[43],"to":[44,87],"carry":[45],"any":[46],"tags":[47,74],"or":[48],"devices":[49],"in":[50,105,134],"pure":[52],"passive":[53,73,139],"environment.":[54],"We":[55,130],"formulate":[56],"as":[58],"classification":[60],"task.":[61],"particular,":[63],"model":[65,95],"the":[66,83,89,94,106,143,147],"received":[67],"signal":[68],"strength":[69],"indicator":[70],"(RSSI)":[71],"of":[72,93,151],"using":[75],"multivariate":[76],"Gaussian":[77],"Mixture":[78],"Model":[79,120],"(GMM),":[80],"use":[82],"Expectation":[84],"Maximization":[85],"(EM)":[86],"learn":[88],"maximum":[90],"likelihood":[91],"estimates":[92],"parameters.":[96],"Several":[97],"other":[98],"learning-based":[99],"probabilistic":[100],"approaches":[101],"are":[102],"also":[103],"explored":[104],"problem.":[108],"To":[109],"track":[110],"moving":[112],"subject,":[113],"propose":[115],"GMM":[116],"based":[117,127],"Hidden":[118],"Markov":[119],"(HMM)":[121],"k":[123],"Nearest":[124],"Neighbor":[125],"(kNN)":[126],"HMM":[128],"approaches.":[129],"conduct":[131],"extensive":[132],"experiments":[133],"testbed":[136],"formed":[137],"by":[138],"RFID":[140],"tags,":[141],"experimental":[144],"results":[145],"demonstrate":[146],"effectiveness":[148],"accuracy":[150],"our":[152],"approach.":[153]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
