{"id":"https://openalex.org/W2154711971","doi":"https://doi.org/10.1109/percom.2011.5767590","title":"A robust dead-reckoning pedestrian tracking system with low cost sensors","display_name":"A robust dead-reckoning pedestrian tracking system with low cost sensors","publication_year":2011,"publication_date":"2011-03-01","ids":{"openalex":"https://openalex.org/W2154711971","doi":"https://doi.org/10.1109/percom.2011.5767590","mag":"2154711971"},"language":"en","primary_location":{"id":"doi:10.1109/percom.2011.5767590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percom.2011.5767590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Pervasive Computing and Communications (PerCom)","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/A5053693013","display_name":"Yunye Jin","orcid":"https://orcid.org/0009-0002-4930-9319"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yunye Jin","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110259484","display_name":"Hong-Song Toh","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Hong-Song Toh","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050123817","display_name":"Wee-Seng Soh","orcid":"https://orcid.org/0000-0001-7786-7313"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wee-Seng Soh","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089043394","display_name":"Wai\u2010Choong Wong","orcid":"https://orcid.org/0000-0001-6581-234X"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wai-Choong Wong","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.1636,"has_fulltext":false,"cited_by_count":152,"citation_normalized_percentile":{"value":0.98884322,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"222","last_page":"230"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9775999784469604,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/dead-reckoning","display_name":"Dead reckoning","score":0.8396072387695312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7284073233604431},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.5866904854774475},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5834019780158997},{"id":"https://openalex.org/keywords/compass","display_name":"Compass","score":0.5757722854614258},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5575658082962036},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.5218397974967957},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.520419180393219},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5089776515960693},{"id":"https://openalex.org/keywords/fusion-center","display_name":"Fusion center","score":0.46907514333724976},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4565550684928894},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4521869719028473},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.44700220227241516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43758973479270935},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4107978343963623},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3841278553009033},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.2847321629524231},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17475315928459167},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.16681507229804993},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15084540843963623},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07696670293807983}],"concepts":[{"id":"https://openalex.org/C106165642","wikidata":"https://www.wikidata.org/wiki/Q152255","display_name":"Dead reckoning","level":3,"score":0.8396072387695312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7284073233604431},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.5866904854774475},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5834019780158997},{"id":"https://openalex.org/C2778361833","wikidata":"https://www.wikidata.org/wiki/Q34735","display_name":"Compass","level":2,"score":0.5757722854614258},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5575658082962036},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.5218397974967957},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.520419180393219},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5089776515960693},{"id":"https://openalex.org/C2781234732","wikidata":"https://www.wikidata.org/wiki/Q943505","display_name":"Fusion center","level":4,"score":0.46907514333724976},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4565550684928894},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4521869719028473},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.44700220227241516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43758973479270935},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4107978343963623},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3841278553009033},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.2847321629524231},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17475315928459167},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.16681507229804993},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15084540843963623},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07696670293807983},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"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/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/percom.2011.5767590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percom.2011.5767590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Pervasive Computing and Communications (PerCom)","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/69043","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/69043","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Conference Paper"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.463.1663","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.463.1663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ami-lab.org/uploads/Publications/Journal/WP2/30_A Robust Dead-Reckoning Pedestrian Tracking System with Low Cost Sensors.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.661.6993","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.661.6993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ami-lab.org/uploads/Publications/Conference/WP2/Robust+Dead-Reckoning+Pedestrian+Tracking+System+with+Low+Cost+Sensors.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1492187049","https://openalex.org/W1972859236","https://openalex.org/W1995588456","https://openalex.org/W2010121988","https://openalex.org/W2056427752","https://openalex.org/W2108512685","https://openalex.org/W2112737587","https://openalex.org/W2112805769","https://openalex.org/W2129912474","https://openalex.org/W2130010343","https://openalex.org/W2132254026","https://openalex.org/W2138135354","https://openalex.org/W2141263318","https://openalex.org/W2144723957","https://openalex.org/W2163839940","https://openalex.org/W2163965192","https://openalex.org/W2166576752","https://openalex.org/W2170102584","https://openalex.org/W2171720331","https://openalex.org/W4251005042","https://openalex.org/W6629401500","https://openalex.org/W6676938293","https://openalex.org/W6832320398"],"related_works":["https://openalex.org/W2206872286","https://openalex.org/W2883256816","https://openalex.org/W2382913035","https://openalex.org/W2391335452","https://openalex.org/W2171408034","https://openalex.org/W2113447385","https://openalex.org/W3003320923","https://openalex.org/W1508048581","https://openalex.org/W246190587","https://openalex.org/W2186667588"],"abstract_inverted_index":{"The":[0,49],"emergence":[1],"of":[2,40,47,73],"personal":[3],"mobile":[4],"device":[5],"with":[6,68,106,115,139],"low":[7],"cost":[8],"sensors,":[9],"such":[10,41],"as":[11,87],"accelerometer":[12],"and":[13,75,96,113,124],"digital":[14],"compass,":[15],"has":[16,134],"made":[17],"dead-reckoning":[18],"(DR)":[19],"an":[20],"attractive":[21],"choice":[22],"for":[23],"indoor":[24,129],"pedestrian":[25,35],"tracking.":[26],"In":[27,126],"this":[28],"paper,":[29],"we":[30,98],"propose":[31],"a":[32,88,91,102,116,127],"robust":[33,84,136],"DR":[34,57,151],"tracking":[36,85,137,143,152],"system":[37,118],"on":[38],"top":[39],"commercially":[42],"accessible":[43],"sensor":[44,93],"sets":[45],"capable":[46],"DR.":[48],"proposed":[50,132],"method":[51],"exploits":[52],"the":[53,61,71,83,131],"fact":[54],"that,":[55],"multiple":[56],"systems,":[58],"carried":[59],"by":[60],"same":[62],"pedestrian,":[63],"have":[64],"stable":[65],"relative":[66],"displacements":[67],"respect":[69],"to":[70,77,101,146,149],"center":[72],"motion,":[74],"therefore":[76],"each":[78],"other.":[79],"We":[80],"first":[81],"formulate":[82],"task":[86],"generalized":[89],"maximum":[90],"posteriori":[92],"fusion":[94],"problem,":[95],"then":[97],"narrow":[99],"it":[100],"simple":[103],"computation":[104],"procedure":[105],"certain":[107],"assumptions.":[108],"A":[109],"prototype":[110],"is":[111],"implemented":[112],"evaluated":[114],"benchmark":[117],"that":[119],"collects":[120],"ground":[121],"truth":[122],"efficiently":[123],"accurately.":[125],"practical":[128],"testbed,":[130],"scheme":[133],"exhibited":[135],"performance,":[138],"reduction":[140],"in":[141],"average":[142],"error":[144],"up":[145],"73.7%,":[147],"compared":[148],"traditional":[150],"methods.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":14},{"year":2016,"cited_by_count":18},{"year":2015,"cited_by_count":19},{"year":2014,"cited_by_count":20},{"year":2013,"cited_by_count":14},{"year":2012,"cited_by_count":11}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}