{"id":"https://openalex.org/W1577493215","doi":"https://doi.org/10.1109/ifipnetworking.2015.7145332","title":"Dynamic active area clustering with inertial information for fingerprinting based indoor localization systems","display_name":"Dynamic active area clustering with inertial information for fingerprinting based indoor localization systems","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1577493215","doi":"https://doi.org/10.1109/ifipnetworking.2015.7145332","mag":"1577493215"},"language":"en","primary_location":{"id":"doi:10.1109/ifipnetworking.2015.7145332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifipnetworking.2015.7145332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IFIP Networking Conference (IFIP Networking)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-01206384","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026242206","display_name":"Fan Yang","orcid":"https://orcid.org/0000-0002-6748-9766"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fan Yang","raw_affiliation_strings":["Dept. of Computer Science & Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103020949","display_name":"Jialiang Lu","orcid":"https://orcid.org/0000-0003-4347-8883"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia-Liang Lu","raw_affiliation_strings":["Dept. of Computer Science & Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042342632","display_name":"Fabrice Th\u00e9oleyre","orcid":"https://orcid.org/0000-0002-7903-3520"},"institutions":[{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fabrice Theoleyre","raw_affiliation_strings":["CNRS, University of Strasbourg, France"],"affiliations":[{"raw_affiliation_string":"CNRS, University of Strasbourg, France","institution_ids":["https://openalex.org/I68947357","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030583530","display_name":"Wei Shu","orcid":"https://orcid.org/0000-0003-0890-2634"},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]},{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Wei Shu","raw_affiliation_strings":["Dept. of Computer Science & Engineering, Shanghai Jiao Tong University, Shanghai, China","Dept. of Electrical & Computer Engineering, University of New Mexico, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Dept. of Electrical & Computer Engineering, University of New Mexico, USA","institution_ids":["https://openalex.org/I169521973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102938931","display_name":"Min\u2010You Wu","orcid":"https://orcid.org/0000-0001-6221-5558"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min-You Wu","raw_affiliation_strings":["Dept. of Computer Science & Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026242206"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.4014,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65887858,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"315","issue":null,"first_page":"1","last_page":"9"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9763000011444092,"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"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9715999960899353,"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":0.7834710478782654},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6991153955459595},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.6201827526092529},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5516093373298645},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5452079176902771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5217219591140747},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4948422312736511},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48345860838890076},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44755956530570984},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.4327225089073181},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3312067985534668}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7834710478782654},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6991153955459595},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.6201827526092529},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5516093373298645},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5452079176902771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5217219591140747},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4948422312736511},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48345860838890076},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44755956530570984},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.4327225089073181},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3312067985534668},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ifipnetworking.2015.7145332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifipnetworking.2015.7145332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IFIP Networking Conference (IFIP Networking)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.717.6177","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.717.6177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://wirelesslab.sjtu.edu.cn/resource/publication/Conference/FanYang_IFIPNetworking2015.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-01206384v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01206384","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IFIP Networking, May 2015, Toulouse, France. &#x27E8;10.1109/IFIPNetworking.2015.7145332&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01206384v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01206384","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IFIP Networking, May 2015, Toulouse, France. &#x27E8;10.1109/IFIPNetworking.2015.7145332&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W116417043","https://openalex.org/W1827950459","https://openalex.org/W1976869041","https://openalex.org/W1991260332","https://openalex.org/W1998812182","https://openalex.org/W2044831755","https://openalex.org/W2056427752","https://openalex.org/W2089405576","https://openalex.org/W2098770944","https://openalex.org/W2100989187","https://openalex.org/W2103365206","https://openalex.org/W2108482152","https://openalex.org/W2118975298","https://openalex.org/W2129736664","https://openalex.org/W2143243918","https://openalex.org/W2143303752","https://openalex.org/W2148868231","https://openalex.org/W2160337655","https://openalex.org/W2162785138","https://openalex.org/W2163993204","https://openalex.org/W2165232124","https://openalex.org/W2166315077","https://openalex.org/W2170102584","https://openalex.org/W2337388419","https://openalex.org/W2480859604","https://openalex.org/W6644570325","https://openalex.org/W6675086664","https://openalex.org/W6721887335"],"related_works":["https://openalex.org/W2091018038","https://openalex.org/W2225378543","https://openalex.org/W4287122200","https://openalex.org/W9839718","https://openalex.org/W3110613631","https://openalex.org/W2040913503","https://openalex.org/W3166845860","https://openalex.org/W2742744817","https://openalex.org/W3202472720","https://openalex.org/W2393010104"],"abstract_inverted_index":{"Fingerprinting":[0],"based":[1,168],"localization":[2,11,85,169],"is":[3,15,50,69,80,120,131],"one":[4,70],"of":[5,29,47,65,71,75,113,181],"the":[6,21,27,40,44,56,61,66,72,76,84,88,110,114,124,149,161,175,182],"most":[7,57],"widely":[8],"used":[9],"indoor":[10],"methods.":[12],"This":[13,138],"method":[14,108,139,158],"divided":[16],"into":[17],"two":[18],"phases:":[19],"during":[20,39],"off-line":[22],"training":[23],"phase,":[24,43,78],"fingerprints":[25],"within":[26],"area":[28,119],"interest":[30],"are":[31,184],"collected":[32],"and":[33,79,87,152,178],"stored":[34],"in":[35,60],"a":[36,48,105,165],"fingerprint":[37,59],"database;":[38],"on-line":[41,77],"mapping":[42,53,67,129],"real-time":[45],"location":[46],"device":[49],"estimated":[51],"by":[52,83],"itself":[54],"to":[55,96,147],"accurate":[58],"database.":[62],"The":[63,127,171],"efficiency":[64],"process":[68],"key":[73],"challenges":[74],"mostly":[81],"characterized":[82],"accuracy":[86],"response":[89,179],"time.":[90],"Clustering":[91],"methods":[92,163],"have":[93],"been":[94],"introduced":[95],"reduce":[97],"computational":[98],"overhead.":[99],"In":[100],"this":[101,135,157],"paper,":[102],"we":[103],"propose":[104],"dynamic":[106],"clustering":[107,145],"leveraging":[109],"inertial":[111],"information":[112],"target":[115,128],"device.":[116],"An":[117],"active":[118,136],"dynamically":[121],"computed":[122],"around":[123],"prior":[125],"position.":[126],"space":[130],"significantly":[132],"reduced":[133],"with":[134,143,160],"area.":[137],"can":[140],"be":[141],"integrated":[142],"other":[144],"algorithms":[146],"overcome":[148],"edge":[150],"problem":[151],"remove":[153],"outliers.":[154],"We":[155],"evaluate":[156],"compared":[159],"state-of-the-art":[162],"on":[164],"body":[166],"sensor":[167],"system.":[170],"results":[172],"show":[173],"that":[174],"accuracy,":[176],"precision":[177],"time":[180],"system":[183],"improved":[185],"greatly.":[186]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
