{"id":"https://openalex.org/W2786387218","doi":"https://doi.org/10.1109/vtcfall.2017.8288251","title":"Holding-Manner-Free Heading Change Estimation for Smartphone-Based Indoor Positioning","display_name":"Holding-Manner-Free Heading Change Estimation for Smartphone-Based Indoor Positioning","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2786387218","doi":"https://doi.org/10.1109/vtcfall.2017.8288251","mag":"2786387218"},"language":"en","primary_location":{"id":"doi:10.1109/vtcfall.2017.8288251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2017.8288251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)","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/A5100668967","display_name":"Lili Xie","orcid":"https://orcid.org/0000-0001-8597-5197"},"institutions":[{"id":"https://openalex.org/I4210159607","display_name":"Fujitsu (China)","ror":"https://ror.org/04w4yzw62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159607"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lili Xie","raw_affiliation_strings":["Fujitsu R&D Center Co., Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Fujitsu R&D Center Co., Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210159607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023476533","display_name":"Junfang Tian","orcid":"https://orcid.org/0000-0001-9555-0387"},"institutions":[{"id":"https://openalex.org/I4210159607","display_name":"Fujitsu (China)","ror":"https://ror.org/04w4yzw62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159607"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Tian","raw_affiliation_strings":["Fujitsu Research and Development Center Co. Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Fujitsu Research and Development Center Co. Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210159607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059763044","display_name":"Genming Ding","orcid":"https://orcid.org/0000-0001-8123-3153"},"institutions":[{"id":"https://openalex.org/I4210159607","display_name":"Fujitsu (China)","ror":"https://ror.org/04w4yzw62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159607"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Genming Ding","raw_affiliation_strings":["Fujitsu Research and Development Center Co. Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Fujitsu Research and Development Center Co. Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210159607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086649532","display_name":"Qian Zhao","orcid":"https://orcid.org/0000-0002-3758-237X"},"institutions":[{"id":"https://openalex.org/I4210159607","display_name":"Fujitsu (China)","ror":"https://ror.org/04w4yzw62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159607"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Zhao","raw_affiliation_strings":["Fujitsu Research and Development Center Co. Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Fujitsu Research and Development Center Co. Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210159607"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100668967"],"corresponding_institution_ids":["https://openalex.org/I4210159607"],"apc_list":null,"apc_paid":null,"fwci":0.2867,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.61967613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"6","issue":null,"first_page":"1","last_page":"5"},"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.9919000267982483,"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/heading","display_name":"Heading (navigation)","score":0.9679529666900635},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6062979102134705},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.593893826007843},{"id":"https://openalex.org/keywords/gyroscope","display_name":"Gyroscope","score":0.5805006623268127},{"id":"https://openalex.org/keywords/step-detection","display_name":"Step detection","score":0.5628920793533325},{"id":"https://openalex.org/keywords/inertial-navigation-system","display_name":"Inertial navigation system","score":0.5191447138786316},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4767285883426666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.452430784702301},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4217444062232971},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.41757622361183167},{"id":"https://openalex.org/keywords/inertial-frame-of-reference","display_name":"Inertial frame of reference","score":0.40151500701904297},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3630393445491791},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.2507871389389038},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19654563069343567},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.14628902077674866},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08902087807655334},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08390152454376221}],"concepts":[{"id":"https://openalex.org/C2776937971","wikidata":"https://www.wikidata.org/wiki/Q4384217","display_name":"Heading (navigation)","level":2,"score":0.9679529666900635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6062979102134705},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.593893826007843},{"id":"https://openalex.org/C158488048","wikidata":"https://www.wikidata.org/wiki/Q483400","display_name":"Gyroscope","level":2,"score":0.5805006623268127},{"id":"https://openalex.org/C293773","wikidata":"https://www.wikidata.org/wiki/Q7608015","display_name":"Step detection","level":3,"score":0.5628920793533325},{"id":"https://openalex.org/C128651787","wikidata":"https://www.wikidata.org/wiki/Q570607","display_name":"Inertial navigation system","level":3,"score":0.5191447138786316},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4767285883426666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.452430784702301},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4217444062232971},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.41757622361183167},{"id":"https://openalex.org/C173386949","wikidata":"https://www.wikidata.org/wiki/Q192735","display_name":"Inertial frame of reference","level":2,"score":0.40151500701904297},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3630393445491791},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.2507871389389038},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19654563069343567},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.14628902077674866},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08902087807655334},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08390152454376221},{"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcfall.2017.8288251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2017.8288251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1601780892","https://openalex.org/W1751378831","https://openalex.org/W1964122991","https://openalex.org/W1976466817","https://openalex.org/W2001579261","https://openalex.org/W2011502582","https://openalex.org/W2020814973","https://openalex.org/W2027281786","https://openalex.org/W2037034232","https://openalex.org/W2067260777","https://openalex.org/W2080661738","https://openalex.org/W2120824934","https://openalex.org/W2127683304","https://openalex.org/W2139362983","https://openalex.org/W2146521180","https://openalex.org/W2154711971","https://openalex.org/W2162470836","https://openalex.org/W2170108541","https://openalex.org/W2377071437","https://openalex.org/W2402514617","https://openalex.org/W6636131556"],"related_works":["https://openalex.org/W1973973903","https://openalex.org/W3195533899","https://openalex.org/W3208523813","https://openalex.org/W4287084017","https://openalex.org/W3179745820","https://openalex.org/W2537790823","https://openalex.org/W2594666386","https://openalex.org/W2545638156","https://openalex.org/W2359095091","https://openalex.org/W2000754062"],"abstract_inverted_index":{"Smartphones":[0],"have":[1],"been":[2],"a":[3,14,22,45,160],"great":[4],"platform":[5],"for":[6,33,142],"location-based":[7],"services":[8],"(LBS)":[9],"and":[10,71,126,178],"heading":[11,23,72,94,105,115,161,182],"estimation":[12,25,162],"is":[13,100,117,157],"key":[15],"technique.":[16],"In":[17,147],"this":[18],"paper,":[19],"we":[20],"proposed":[21,155,169],"change":[24,73,106,116,183],"algorithm":[26,56],"based":[27],"on":[28],"inertial":[29,113,127],"sensors":[30],"built-in":[31],"smartphones":[32],"indoor":[34],"positioning.":[35],"Compared":[36],"with":[37],"previous":[38],"common":[39],"approaches,":[40],"it":[41],"gives":[42],"the":[43,82,92,104,110,121,136,148,154,168,173],"users":[44],"larger":[46],"freedom,":[47],"not":[48],"requiring":[49],"fixed":[50],"even":[51],"specific":[52],"holding":[53,63,174],"manners.":[54],"The":[55],"consists":[57],"of":[58,91,112,123,150],"three":[59],"main":[60],"parts,":[61],"including":[62],"manner":[64,76,175],"transition":[65,77,176],"detection,":[66],"equivalent":[67,137],"vertical":[68,97,138],"angular":[69,98,139],"update":[70],"calculation.":[74],"Holding":[75],"detection":[78],"aims":[79],"to":[80,102,109,159],"separate":[81],"gyroscope":[83],"measurement":[84],"contribution":[85],"caused":[86],"by":[87,119],"transitions":[88],"from":[89,135],"that":[90,167],"user's":[93],"change.":[95],"Equivalent":[96],"rate":[99,140],"defined":[101],"recognize":[103],"interval.":[107],"Due":[108],"low-precision":[111],"sensors,":[114],"calculated":[118],"tracing":[120],"ideologies":[122],"complementary":[124],"filter":[125],"frame":[128],"alignment.":[129],"It":[130],"can":[131,171],"also":[132],"be":[133],"obtained":[134],"directly":[141],"low":[143],"accuracy":[144],"requirement":[145],"situation.":[146],"case":[149],"known":[151],"initial":[152],"heading,":[153],"method":[156,170],"converted":[158],"method.":[163],"Experiment":[164],"results":[165],"show":[166],"detect":[172],"accurately":[177],"provides":[179],"relatively":[180],"good":[181],"estimation.":[184]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
