{"id":"https://openalex.org/W2148295582","doi":"https://doi.org/10.1109/percom.2012.6199844","title":"Smartphone-based Wi-Fi pedestrian-tracking system tolerating the RSS variance problem","display_name":"Smartphone-based Wi-Fi pedestrian-tracking system tolerating the RSS variance problem","publication_year":2012,"publication_date":"2012-03-01","ids":{"openalex":"https://openalex.org/W2148295582","doi":"https://doi.org/10.1109/percom.2012.6199844","mag":"2148295582"},"language":"en","primary_location":{"id":"doi:10.1109/percom.2012.6199844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percom.2012.6199844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Pervasive Computing and Communications","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/A5056854159","display_name":"Yungeun Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yungeun Kim","raw_affiliation_strings":["Department of Computer Science, Yonsei University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051047669","display_name":"Hyo Jeong Shin","orcid":"https://orcid.org/0000-0003-2867-494X"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyojeong Shin","raw_affiliation_strings":["Department of Computer Science, Yonsei University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000631554","display_name":"Hojung Cha","orcid":"https://orcid.org/0000-0002-9060-5091"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hojung Cha","raw_affiliation_strings":["Department of Computer Science, Yonsei University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056854159"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":6.6286,"has_fulltext":false,"cited_by_count":81,"citation_normalized_percentile":{"value":0.97144538,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9951000213623047,"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/T10860","display_name":"Speech and Audio Processing","score":0.9943000078201294,"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/rss","display_name":"RSS","score":0.9916787147521973},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.7444600462913513},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7196351885795593},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5786579251289368},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.569377064704895},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5164344906806946},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.44803544878959656},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4302263855934143},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13562101125717163},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12261635065078735}],"concepts":[{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.9916787147521973},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.7444600462913513},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7196351885795593},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5786579251289368},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.569377064704895},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5164344906806946},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.44803544878959656},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4302263855934143},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13562101125717163},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12261635065078735},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/percom.2012.6199844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percom.2012.6199844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Pervasive Computing and Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1564170142","https://openalex.org/W1565980524","https://openalex.org/W1827950459","https://openalex.org/W1862952379","https://openalex.org/W1994961964","https://openalex.org/W1995588456","https://openalex.org/W2015529002","https://openalex.org/W2054799039","https://openalex.org/W2078493525","https://openalex.org/W2100595099","https://openalex.org/W2117736292","https://openalex.org/W2118975298","https://openalex.org/W2123402141","https://openalex.org/W2124139103","https://openalex.org/W2130996742","https://openalex.org/W2142136129","https://openalex.org/W2144723957","https://openalex.org/W2150388519","https://openalex.org/W2159694746","https://openalex.org/W2162231928","https://openalex.org/W2162785138","https://openalex.org/W2170102584","https://openalex.org/W2170240475","https://openalex.org/W2337388419","https://openalex.org/W3148244168","https://openalex.org/W4255464467","https://openalex.org/W6633641756","https://openalex.org/W6681301362","https://openalex.org/W6703620273"],"related_works":["https://openalex.org/W426968574","https://openalex.org/W2365639220","https://openalex.org/W2382520895","https://openalex.org/W2393709043","https://openalex.org/W2080567403","https://openalex.org/W2539387137","https://openalex.org/W2374952201","https://openalex.org/W2374808384","https://openalex.org/W2385449752","https://openalex.org/W2090777587"],"abstract_inverted_index":{"The":[0,100],"Wi-Fi":[1],"fingerprinting":[2],"(WF)":[3],"technique":[4],"normally":[5],"suffers":[6],"from":[7],"the":[8,24,40,66,88,103,106,123,129],"RSS":[9,67,89,108,116,130],"(Received":[10],"Signal":[11],"Strength)":[12],"variance":[13,42,68,90,131],"problem":[14,69],"caused":[15],"by":[16],"environmental":[17,82],"changes":[18,83],"that":[19,122],"are":[20,51],"inherent":[21],"in":[22,55],"both":[23],"training":[25],"and":[26,49,81],"localization":[27],"phases.":[28],"Several":[29],"calibration":[30],"algorithms":[31],"have":[32],"been":[33],"proposed":[34,124],"but":[35],"they":[36],"only":[37],"focus":[38],"on":[39],"hardware":[41],"problem.":[43,132],"Moreover,":[44],"smartphones":[45,72],"were":[46],"not":[47],"evaluated":[48],"these":[50],"now":[52],"widely":[53],"used":[54],"WF":[56],"systems.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61,92],"analyze":[62],"various":[63],"aspect":[64],"of":[65],"when":[70],"using":[71],"for":[73],"WF:":[74],"device":[75,77],"type,":[76],"placement,":[78],"user":[79],"direction,":[80],"over":[84],"time.":[85],"To":[86],"overcome":[87],"problem,":[91],"also":[93],"propose":[94],"a":[95],"smartphone-based,":[96],"indoor":[97],"pedestrian-tracking":[98],"system.":[99],"scheme":[101],"uses":[102],"location":[104],"where":[105],"maximum":[107],"is":[109,112,126],"observed,":[110],"which":[111],"preserved":[113],"even":[114],"though":[115],"varies":[117],"significantly.":[118],"We":[119],"experimentally":[120],"validate":[121],"system":[125],"robust":[127],"to":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
