{"id":"https://openalex.org/W2982486306","doi":"https://doi.org/10.1109/tmc.2019.2949412","title":"OmniTrack: Orientation-Aware RFID Tracking With Centimeter-Level Accuracy","display_name":"OmniTrack: Orientation-Aware RFID Tracking With Centimeter-Level Accuracy","publication_year":2019,"publication_date":"2019-10-28","ids":{"openalex":"https://openalex.org/W2982486306","doi":"https://doi.org/10.1109/tmc.2019.2949412","mag":"2982486306"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2019.2949412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2019.2949412","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-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/A5057099891","display_name":"Chengkun Jiang","orcid":"https://orcid.org/0000-0002-1828-596X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengkun Jiang","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1828-596X","affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060129988","display_name":"Yuan He","orcid":"https://orcid.org/0000-0002-6676-4009"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan He","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6676-4009","affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060249411","display_name":"Xiaolong Zheng","orcid":"https://orcid.org/0000-0001-7950-6773"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Zheng","raw_affiliation_strings":["School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7950-6773","affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070071735","display_name":"Yunhao Liu","orcid":"https://orcid.org/0000-0001-9508-3520"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yunhao Liu","raw_affiliation_strings":["Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3352,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.89103716,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"20","issue":"2","first_page":"634","last_page":"646"},"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/T10986","display_name":"RFID technology advancements","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/orientation","display_name":"Orientation (vector space)","score":0.8579413890838623},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8512457013130188},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.7289170026779175},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5353899598121643},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.4769260287284851},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46066349744796753},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.44283273816108704},{"id":"https://openalex.org/keywords/location-tracking","display_name":"Location tracking","score":0.4173584580421448},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3568055331707001}],"concepts":[{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.8579413890838623},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8512457013130188},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7289170026779175},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5353899598121643},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.4769260287284851},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46066349744796753},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.44283273816108704},{"id":"https://openalex.org/C3019020692","wikidata":"https://www.wikidata.org/wiki/Q17141406","display_name":"Location tracking","level":2,"score":0.4173584580421448},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3568055331707001},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2019.2949412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2019.2949412","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5653453139","display_name":"\u79fb\u52a8\u7fa4\u667a\u611f\u77e5\u4e2d\u57fa\u4e8e\u4f4d\u7f6e\u8bed\u4e49\u7684\u60c5\u666f\u8ba1\u7b97\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61672240","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6750106508","display_name":"\u5f02\u6784\u65e0\u7ebf\u7f51\u7edc\u5171\u5b58\u4e0e\u878d\u5408\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61772306","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W127475754","https://openalex.org/W1523455715","https://openalex.org/W1569705600","https://openalex.org/W1585879837","https://openalex.org/W1964067075","https://openalex.org/W2028605150","https://openalex.org/W2037352824","https://openalex.org/W2048131511","https://openalex.org/W2049036780","https://openalex.org/W2069953037","https://openalex.org/W2069973845","https://openalex.org/W2072894700","https://openalex.org/W2078810600","https://openalex.org/W2090178842","https://openalex.org/W2114142662","https://openalex.org/W2118055871","https://openalex.org/W2126364161","https://openalex.org/W2129088323","https://openalex.org/W2154285650","https://openalex.org/W2158090937","https://openalex.org/W2162134046","https://openalex.org/W2163993204","https://openalex.org/W2460321923","https://openalex.org/W2481477255","https://openalex.org/W2526272237","https://openalex.org/W2539049210","https://openalex.org/W2559106682","https://openalex.org/W2579060427","https://openalex.org/W2935401410","https://openalex.org/W2999214452","https://openalex.org/W3001044503","https://openalex.org/W4231756768","https://openalex.org/W4242398968","https://openalex.org/W6605204927","https://openalex.org/W6631507439","https://openalex.org/W6633875372","https://openalex.org/W6635170509","https://openalex.org/W6677111171","https://openalex.org/W7014929369"],"related_works":["https://openalex.org/W2394134009","https://openalex.org/W1971984615","https://openalex.org/W2046099857","https://openalex.org/W2806679586","https://openalex.org/W4315836311","https://openalex.org/W2393252924","https://openalex.org/W2787600244","https://openalex.org/W2186532442","https://openalex.org/W2354867839","https://openalex.org/W3173077773"],"abstract_inverted_index":{"RFID":[0,55],"tracking":[1,22,40,56,110,134],"attracts":[2],"a":[3,23,61,116],"lot":[4],"of":[5,12,77,97,115],"research":[6],"efforts":[7],"in":[8,44,47,109,133],"recent":[9],"years.":[10],"Most":[11],"the":[13,66,70,74,78,94,98,102,111,141],"existing":[14],"approaches,":[15],"however,":[16],"adopt":[17],"an":[18,53,87],"orientation-oblivious":[19],"model.":[20],"When":[21],"target":[24,39],"whose":[25],"orientation":[26,72,114],"changes,":[27],"those":[28],"approaches":[29],"suffer":[30],"from":[31],"serious":[32],"accuracy":[33,128],"degradation.":[34],"In":[35],"order":[36],"to":[37,91,140],"achieve":[38],"with":[41,136],"pervasive":[42],"applicability":[43],"various":[45],"scenarios,":[46],"this":[48,83],"article,":[49],"we":[50,85],"propose":[51,86],"OmniTrack,":[52],"orientation-aware":[54,88],"approach.":[57],"Our":[58,119],"study":[59],"presents":[60],"generic":[62],"model":[63,90],"that":[64,123],"discribes":[65],"linear":[67],"relationship":[68],"between":[69],"tag":[71],"and":[73,101,113,129],"phase":[75,89],"change":[76],"backscattered":[79],"signals.":[80],"Based":[81],"on":[82],"finding,":[84],"explicitly":[92],"quantify":[93],"respective":[95],"impact":[96],"read-tag":[99],"distance":[100],"tag's":[103],"orientation.":[104],"OmniTrack":[105,124],"addresses":[106],"practical":[107],"challenges":[108],"location":[112,127],"mobile":[117],"tag.":[118],"experimental":[120],"results":[121],"demonstrate":[122],"achieves":[125],"centimeter-level":[126],"has":[130],"significant":[131],"advantages":[132],"targets":[135],"varing":[137],"orientations,":[138],"compared":[139],"state-of-the-art":[142],"approaches.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":10}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
