{"id":"https://openalex.org/W7119040280","doi":"https://doi.org/10.1109/indin64977.2025.11279464","title":"LSTM-Attention with Multi-Sensor Fusion for High-Accuracy 3D Indoor Localization on Smartphones","display_name":"LSTM-Attention with Multi-Sensor Fusion for High-Accuracy 3D Indoor Localization on Smartphones","publication_year":2025,"publication_date":"2025-07-12","ids":{"openalex":"https://openalex.org/W7119040280","doi":"https://doi.org/10.1109/indin64977.2025.11279464"},"language":null,"primary_location":{"id":"doi:10.1109/indin64977.2025.11279464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin64977.2025.11279464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 23rd International Conference on Industrial Informatics (INDIN)","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/A5005036558","display_name":"Z.Y. Zhang","orcid":"https://orcid.org/0009-0002-3571-4575"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhanpeng Zhang","raw_affiliation_strings":["Beihang University,School of Electronics and Information Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Electronics and Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375425","display_name":"Jiale Wang","orcid":"https://orcid.org/0000-0001-6530-7060"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiale Wang","raw_affiliation_strings":["Beihang University,School of Space and Earth Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Space and Earth Sciences,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065624859","display_name":"Ming Xia","orcid":"https://orcid.org/0000-0002-6552-3377"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Xia","raw_affiliation_strings":["Beihang University,School of Electronics and Information Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Electronics and Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090707691","display_name":"Deyou Zhang","orcid":"https://orcid.org/0000-0001-9621-561X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deyou Zhang","raw_affiliation_strings":["Beihang University,School of Electronics and Information Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Electronics and Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117101556","display_name":"Shengmao Que","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengmao Que","raw_affiliation_strings":["Beihang University,School of Electronics and Information Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Electronics and Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015550050","display_name":"Chuang Shi","orcid":"https://orcid.org/0000-0002-4272-5881"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuang Shi","raw_affiliation_strings":["Beihang University,School of Space and Earth Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Space and Earth Sciences,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5005036558"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.61676888,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"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":0.8603000044822693,"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":0.8603000044822693,"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":0.10339999943971634,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.009200000204145908,"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/sensor-fusion","display_name":"Sensor fusion","score":0.5748999714851379},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.5285000205039978},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5128999948501587},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5073999762535095},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4925999939441681},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.448199987411499},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.448199987411499},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.445499986410141},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4219000041484833},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.41290000081062317}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6985999941825867},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5748999714851379},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.5285000205039978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5216000080108643},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5160999894142151},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5128999948501587},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5073999762535095},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4925999939441681},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.47620001435279846},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.448199987411499},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.448199987411499},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.445499986410141},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4219000041484833},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.41290000081062317},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41019999980926514},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3716999888420105},{"id":"https://openalex.org/C2777486483","wikidata":"https://www.wikidata.org/wiki/Q6026477","display_name":"Indoor positioning system","level":3,"score":0.35839998722076416},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.3504999876022339},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.3452000021934509},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.33239999413490295},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.3303000032901764},{"id":"https://openalex.org/C93361087","wikidata":"https://www.wikidata.org/wiki/Q4426698","display_name":"Data consistency","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C128651787","wikidata":"https://www.wikidata.org/wiki/Q570607","display_name":"Inertial navigation system","level":3,"score":0.28540000319480896},{"id":"https://openalex.org/C2778603505","wikidata":"https://www.wikidata.org/wiki/Q17141406","display_name":"Positioning system","level":3,"score":0.2711000144481659},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.2696000039577484},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.2660999894142151},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.2597000002861023},{"id":"https://openalex.org/C2777466982","wikidata":"https://www.wikidata.org/wiki/Q5227287","display_name":"Data extraction","level":3,"score":0.25949999690055847},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin64977.2025.11279464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin64977.2025.11279464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 23rd International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4711114168167114,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"},{"score":0.4659605622291565,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2729845432","https://openalex.org/W2973010884","https://openalex.org/W3003978953","https://openalex.org/W3127059291","https://openalex.org/W3135671881","https://openalex.org/W3137032495","https://openalex.org/W3189493972","https://openalex.org/W4213431617","https://openalex.org/W4385194719","https://openalex.org/W4386071818","https://openalex.org/W4387587515","https://openalex.org/W4388083942","https://openalex.org/W4389403378","https://openalex.org/W4391365589","https://openalex.org/W4391936198","https://openalex.org/W4399767879","https://openalex.org/W4401349710","https://openalex.org/W4401936703","https://openalex.org/W4405305633","https://openalex.org/W4405306373"],"related_works":[],"abstract_inverted_index":{"While":[0],"smartphone-based":[1,148],"fingerprinting":[2],"techniques":[3],"have":[4],"emerged":[5],"as":[6],"promising":[7],"solutions":[8],"for":[9],"indoor":[10,150],"localization,":[11],"their":[12],"efficacy":[13],"remains":[14],"constrained":[15,36],"by":[16,87],"suboptimal":[17],"fingerprint":[18,84],"database":[19,85],"quality":[20],"and":[21,38,64,71,112,125,136],"algorithmic":[22],"limitations":[23],"in":[24,104,147],"2D":[25],"coordinate":[26],"estimation.":[27],"Conventional":[28],"approaches":[29],"suffer":[30],"from":[31],"laborious":[32],"data":[33,60,91],"collection":[34],"processes,":[35],"accuracy,":[37],"diminished":[39],"reliability":[40],"over":[41],"extended":[42],"periods.":[43],"To":[44],"address":[45],"these":[46],"challenges,":[47],"this":[48],"study":[49],"proposes":[50],"a":[51],"novel":[52],"attention-enhanced":[53],"LSTM":[54],"architecture":[55],"synergistically":[56],"integrating":[57],"heterogeneous":[58],"sensor":[59],"(WiFi,":[61],"barometric":[62],"pressure,":[63],"magnetometer)":[65],"to":[66,82],"achieve":[67],"simultaneous":[68],"planar":[69],"localization":[70,130],"multi-floor":[72],"identification.":[73],"A":[74],"dedicated":[75],"foot-mounted":[76],"inertial":[77],"measurement":[78],"system":[79],"is":[80],"introduced":[81],"streamline":[83],"construction":[86],"enabling":[88],"efficient":[89],"sparse":[90],"acquisition":[92],"through":[93,116],"collaborative":[94],"smartphone-device":[95],"interactions.":[96],"The":[97],"developed":[98],"LSTM-Attention":[99],"framework":[100],"demonstrates":[101],"superior":[102],"performance":[103],"initial":[105],"position":[106],"matching":[107],"precision,":[108],"accelerated":[109],"model":[110],"convergence,":[111],"enhanced":[113],"trajectory":[114],"consistency":[115],"adaptive":[117],"feature":[118],"weighting.":[119],"Comprehensive":[120],"evaluations":[121],"across":[122],"multi-story":[123],"academic":[124],"office":[126],"environments":[127],"reveal":[128],"pedestrian":[129],"accuracy":[131],"within":[132],"1.5":[133],"meters":[134],"(horizontal)":[135],"floor":[137],"discrimination":[138],"success":[139],"rates":[140],"exceeding":[141],"95%,":[142],"thereby":[143],"advancing":[144],"the":[145],"state-of-the-art":[146],"3D":[149],"positioning":[151],"systems.":[152]},"counts_by_year":[],"updated_date":"2026-02-23T20:09:44.859080","created_date":"2026-01-08T00:00:00"}