{"id":"https://openalex.org/W4317927964","doi":"https://doi.org/10.1145/3560905.3568080","title":"Scaling Device-Free Indoor Tracking Based on Self Calibration","display_name":"Scaling Device-Free Indoor Tracking Based on Self Calibration","publication_year":2022,"publication_date":"2022-11-06","ids":{"openalex":"https://openalex.org/W4317927964","doi":"https://doi.org/10.1145/3560905.3568080"},"language":"en","primary_location":{"id":"doi:10.1145/3560905.3568080","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3560905.3568080","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3560905.3568080","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3560905.3568080","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074125109","display_name":"Zongxing Xie","orcid":"https://orcid.org/0000-0002-3464-1610"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zongxing Xie","raw_affiliation_strings":["Stony Brook University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stony Brook University","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100405476","display_name":"Fan Ye","orcid":"https://orcid.org/0000-0002-0131-6424"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fan Ye","raw_affiliation_strings":["Stony Brook University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stony Brook University","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":0.8261,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70065422,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"841","last_page":"842"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9830999970436096,"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"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9549000263214111,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.7254959344863892},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6758517026901245},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6285855174064636},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5991097688674927},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5875625014305115},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.5417762994766235},{"id":"https://openalex.org/keywords/multilateration","display_name":"Multilateration","score":0.482856810092926},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4591275155544281},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.42658495903015137},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3417927622795105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25292372703552246},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.15734371542930603},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12451374530792236}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7254959344863892},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6758517026901245},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6285855174064636},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5991097688674927},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5875625014305115},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5417762994766235},{"id":"https://openalex.org/C104037064","wikidata":"https://www.wikidata.org/wiki/Q1640884","display_name":"Multilateration","level":3,"score":0.482856810092926},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4591275155544281},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.42658495903015137},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3417927622795105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25292372703552246},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.15734371542930603},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12451374530792236},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3560905.3568080","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3560905.3568080","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3560905.3568080","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3560905.3568080","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3560905.3568080","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3560905.3568080","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3203413929","display_name":null,"funder_award_id":"1951880,2028952,2119299","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1998895174","https://openalex.org/W3207055968","https://openalex.org/W4302393668"],"related_works":["https://openalex.org/W2373557848","https://openalex.org/W2088970451","https://openalex.org/W2157008402","https://openalex.org/W2592302855","https://openalex.org/W2394134009","https://openalex.org/W1971984615","https://openalex.org/W2806679586","https://openalex.org/W2046099857","https://openalex.org/W4315836311","https://openalex.org/W2393252924"],"abstract_inverted_index":{"The":[0],"democratization":[1],"of":[2,13,41,62,73,124,143],"indoor":[3,70],"tracking":[4,71,122],"systems":[5],"lays":[6],"the":[7,75,85,132],"groundwork":[8],"for":[9],"a":[10,68,79,94,97,99],"wide":[11,56],"spectrum":[12],"smart":[14],"home":[15],"applications.":[16],"While":[17],"prior":[18],"work":[19],"on":[20,34],"RF-based":[21],"device-free":[22],"localization/tracking":[23],"have":[24,110],"shown":[25,119],"preferable":[26],"features":[27],"and":[28,45,118],"promising":[29],"results,":[30],"they":[31],"heavily":[32],"relied":[33],"well-calibrated":[35],"sensor":[36,87,137],"placements,":[37],"which":[38,74,140],"require":[39],"hours":[40,142],"intensive":[42,144],"manual":[43],"setup":[44],"respective":[46],"expertise,":[47],"making":[48],"it":[49],"prohibitively":[50],"expensive":[51],"to":[52,55,93,131],"scale":[53],"deployments":[54],"range":[57],"(e.g.,":[58],"tens":[59],"or":[60,107],"hundreds":[61],"real":[63,115],"homes).":[64],"We":[65,109],"propose":[66],"SCALING,":[67],"plug-and-play":[69],"system,":[72],"key":[76],"enabler":[77],"is":[78],"self":[80],"calibrating":[81,145],"algorithm":[82],"that":[83],"estimates":[84],"distributed":[86],"locations":[88,138],"through":[89],"their":[90],"distance":[91],"measurements":[92],"person":[95],"walking":[96],"trajectory,":[98],"trivial":[100],"effort":[101],"without":[102],"taxing":[103],"layman":[104],"users":[105],"physically":[106],"cognitively.":[108],"experimentally":[111],"evaluated":[112],"SCALING":[113],"via":[114],"world":[116],"testbeds":[117],"an":[120],"80-percentile":[121],"accuracy":[123],"40.5":[125],"cm,":[126],"only":[127],"1%":[128],"degradation":[129],"compared":[130],"classical":[133],"multilateration":[134],"with":[135],"known":[136],"(anchors),":[139],"costs":[141],"effort.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
