{"id":"https://openalex.org/W2904574484","doi":"https://doi.org/10.1109/upinlbs.2018.8559908","title":"Application of system fault detection and intelligent reconstruction method based on machine learning in micro inertial pedestrian navigation system","display_name":"Application of system fault detection and intelligent reconstruction method based on machine learning in micro inertial pedestrian navigation system","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2904574484","doi":"https://doi.org/10.1109/upinlbs.2018.8559908","mag":"2904574484"},"language":"en","primary_location":{"id":"doi:10.1109/upinlbs.2018.8559908","is_oa":false,"landing_page_url":"https://doi.org/10.1109/upinlbs.2018.8559908","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Ubiquitous Positioning, Indoor Navigation and Location-Based Services (UPINLBS)","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/A5045735904","display_name":"Cuihong Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cui-hong GU","raw_affiliation_strings":["School of NARI Electric and Automation, Nanjing Normal University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of NARI Electric and Automation, Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103180000","display_name":"Weixing Qian","orcid":"https://orcid.org/0000-0002-1227-4055"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-xing QIAN","raw_affiliation_strings":["School of NARI Electric and Automation, Nanjing Normal University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of NARI Electric and Automation, Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036808972","display_name":"Shuqin Yang","orcid":"https://orcid.org/0000-0002-5762-6026"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu-qin YANG","raw_affiliation_strings":["School of NARI Electric and Automation, Nanjing Normal University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of NARI Electric and Automation, Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100363130","display_name":"Xin Chen","orcid":"https://orcid.org/0000-0003-4342-9651"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin CHEN","raw_affiliation_strings":["School of NARI Electric and Automation, Nanjing Normal University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of NARI Electric and Automation, Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103005708","display_name":"Erpeng Wang","orcid":"https://orcid.org/0009-0009-3184-0110"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Er-peng WANG","raw_affiliation_strings":["School of NARI Electric and Automation, Nanjing Normal University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of NARI Electric and Automation, Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073478843","display_name":"Xudong Liu","orcid":"https://orcid.org/0000-0001-9803-7298"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu-dong LIU","raw_affiliation_strings":["School of NARI Electric and Automation, Nanjing Normal University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of NARI Electric and Automation, Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5045735904"],"corresponding_institution_ids":["https://openalex.org/I152031979"],"apc_list":null,"apc_paid":null,"fwci":0.1288,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50777613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"34","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":0.9991000294685364,"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":0.9991000294685364,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9915000200271606,"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9541000127792358,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inertial-navigation-system","display_name":"Inertial navigation system","score":0.8093448877334595},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.7287049293518066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5725322961807251},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5527863502502441},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5456448793411255},{"id":"https://openalex.org/keywords/navigation-system","display_name":"Navigation system","score":0.5402538180351257},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48373177647590637},{"id":"https://openalex.org/keywords/dead-reckoning","display_name":"Dead reckoning","score":0.46336978673934937},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.4364456534385681},{"id":"https://openalex.org/keywords/wind-triangle","display_name":"Wind triangle","score":0.4262721538543701},{"id":"https://openalex.org/keywords/inertial-reference-unit","display_name":"Inertial reference unit","score":0.42305248975753784},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.41730162501335144},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.41622301936149597},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3926370143890381},{"id":"https://openalex.org/keywords/inertial-frame-of-reference","display_name":"Inertial frame of reference","score":0.2699352502822876},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.24561473727226257},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.1319110095500946},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.1289048194885254},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08411428332328796}],"concepts":[{"id":"https://openalex.org/C128651787","wikidata":"https://www.wikidata.org/wiki/Q570607","display_name":"Inertial navigation system","level":3,"score":0.8093448877334595},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.7287049293518066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5725322961807251},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5527863502502441},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5456448793411255},{"id":"https://openalex.org/C2777891301","wikidata":"https://www.wikidata.org/wiki/Q3475123","display_name":"Navigation system","level":2,"score":0.5402538180351257},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48373177647590637},{"id":"https://openalex.org/C106165642","wikidata":"https://www.wikidata.org/wiki/Q152255","display_name":"Dead reckoning","level":3,"score":0.46336978673934937},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.4364456534385681},{"id":"https://openalex.org/C178001088","wikidata":"https://www.wikidata.org/wiki/Q2583453","display_name":"Wind triangle","level":5,"score":0.4262721538543701},{"id":"https://openalex.org/C189096121","wikidata":"https://www.wikidata.org/wiki/Q6028512","display_name":"Inertial reference unit","level":4,"score":0.42305248975753784},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.41730162501335144},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.41622301936149597},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3926370143890381},{"id":"https://openalex.org/C173386949","wikidata":"https://www.wikidata.org/wiki/Q192735","display_name":"Inertial frame of reference","level":2,"score":0.2699352502822876},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.24561473727226257},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.1319110095500946},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.1289048194885254},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08411428332328796},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C65401140","wikidata":"https://www.wikidata.org/wiki/Q7353385","display_name":"Robot control","level":4,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/upinlbs.2018.8559908","is_oa":false,"landing_page_url":"https://doi.org/10.1109/upinlbs.2018.8559908","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Ubiquitous Positioning, Indoor Navigation and Location-Based Services (UPINLBS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1971139493","https://openalex.org/W2412778168","https://openalex.org/W2414160858","https://openalex.org/W2468078839"],"related_works":["https://openalex.org/W3175435015","https://openalex.org/W2619767547","https://openalex.org/W2765514429","https://openalex.org/W2383573797","https://openalex.org/W2353128189","https://openalex.org/W2008882664","https://openalex.org/W1940389892","https://openalex.org/W2089074378","https://openalex.org/W2131486049","https://openalex.org/W2349529204"],"abstract_inverted_index":{"Pedestrian":[0],"navigation":[1,28,53,61,113,154,168,190,196],"assisted":[2],"by":[3,89],"human":[4,75],"body":[5,76],"characteristics":[6],"is":[7,160],"a":[8,50,59],"new":[9],"research":[10],"branch":[11],"in":[12,18],"indoor":[13],"and":[14,48,100,107,197],"outdoor":[15],"positioning":[16,149,198],"field":[17],"recent":[19],"years.":[20],"Aiming":[21],"at":[22,69],"the":[23,26,39,42,52,70,74,105,108,137,148,152,165,175,182,188,195],"problem":[24],"that":[25,163],"pedestrian":[27,60,112,153,189],"system":[29,101,114,155,169,191],"of":[30,65,73,82,111,139,147,151,164,177,200],"inertial":[31,44,66,84,167,184],"measurement":[32,45,67,85,185],"unit":[33,46,86,186],"foot":[34,43,83,166,183],"installation":[35,64],"cannot":[36],"effectively":[37],"measure":[38],"information":[40],"when":[41],"fails,":[47,187],"as":[49,94],"result":[51],"function":[54,199],"malfunctions,":[55],"this":[56,158],"paper":[57],"presents":[58],"method":[62],"with":[63,170],"units":[68],"other":[71],"parts":[72],"beside":[77],"foot.":[78],"The":[79,122],"output":[80],"data":[81],"are":[87,132],"simulated":[88],"machine":[90],"learning":[91],"methods":[92],"such":[93],"neural":[95,130,140],"networks.":[96],"With":[97],"fault":[98],"detection":[99],"intelligent":[102],"reconstruction":[103],"principle,":[104],"reliability":[106],"performance":[109,150],"index":[110],"under":[115,134,174],"complex":[116],"gait":[117],"conditions":[118],"can":[119,143,192],"be":[120,144],"improved.":[121],"experiment":[123],"results":[124],"show":[125],"that,":[126],"while":[127],"different":[128,135],"BP":[129],"networks":[131],"used":[133],"gaits":[136],"complexity":[138],"network":[141],"model":[142],"reduced.":[145],"Part":[146],"based":[156],"on":[157],"method,":[159],"equal":[161],"to":[162],"same":[171],"sensor":[172,179],"precision":[173],"condition":[176],"no":[178],"fault.":[180],"While":[181],"also":[193],"realize":[194],"certain":[201],"accuracy.":[202]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
