{"id":"https://openalex.org/W2991521382","doi":"https://doi.org/10.1109/seeda-cecnsm.2019.8908304","title":"Bluetooth Beacon Based Accurate Indoor Positioning Using Machine Learning","display_name":"Bluetooth Beacon Based Accurate Indoor Positioning Using Machine Learning","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2991521382","doi":"https://doi.org/10.1109/seeda-cecnsm.2019.8908304","mag":"2991521382"},"language":"en","primary_location":{"id":"doi:10.1109/seeda-cecnsm.2019.8908304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/seeda-cecnsm.2019.8908304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 4th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)","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/A5113937793","display_name":"Konstantinos Kotrotsios","orcid":null},"institutions":[{"id":"https://openalex.org/I231025917","display_name":"Hellenic Open University","ror":"https://ror.org/02kq26x23","country_code":"GR","type":"education","lineage":["https://openalex.org/I231025917"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Kotrotsios Konstantinos","raw_affiliation_strings":["School of Science and Technology, Hellenic Open University, Patras, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Hellenic Open University, Patras, Greece","institution_ids":["https://openalex.org/I231025917"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001630802","display_name":"\u202aTheofanis Orphanoudakis\u202c","orcid":"https://orcid.org/0000-0003-2944-1486"},"institutions":[{"id":"https://openalex.org/I231025917","display_name":"Hellenic Open University","ror":"https://ror.org/02kq26x23","country_code":"GR","type":"education","lineage":["https://openalex.org/I231025917"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Theofanis Orphanoudakis","raw_affiliation_strings":["School of Science and Technology, Hellenic Open University, Patras, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Hellenic Open University, Patras, Greece","institution_ids":["https://openalex.org/I231025917"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4844,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.66900236,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2017?janua","issue":null,"first_page":"1","last_page":"6"},"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/T12801","display_name":"Bluetooth and Wireless Communication Technologies","score":0.9757999777793884,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T13121","display_name":"Radio Wave Propagation Studies","score":0.9672999978065491,"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/beacon","display_name":"Beacon","score":0.851840078830719},{"id":"https://openalex.org/keywords/bluetooth","display_name":"Bluetooth","score":0.8171577453613281},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.713483452796936},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.6651141047477722},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.631209671497345},{"id":"https://openalex.org/keywords/mobile-phone","display_name":"Mobile phone","score":0.6254090070724487},{"id":"https://openalex.org/keywords/signal-strength","display_name":"Signal strength","score":0.4591405391693115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41493844985961914},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.3920578956604004},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3754222095012665},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3367984890937805},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1390908658504486}],"concepts":[{"id":"https://openalex.org/C102168758","wikidata":"https://www.wikidata.org/wiki/Q7321258","display_name":"Beacon","level":2,"score":0.851840078830719},{"id":"https://openalex.org/C546215728","wikidata":"https://www.wikidata.org/wiki/Q39531","display_name":"Bluetooth","level":3,"score":0.8171577453613281},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.713483452796936},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.6651141047477722},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.631209671497345},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.6254090070724487},{"id":"https://openalex.org/C176808163","wikidata":"https://www.wikidata.org/wiki/Q17105794","display_name":"Signal strength","level":3,"score":0.4591405391693115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41493844985961914},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.3920578956604004},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3754222095012665},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3367984890937805},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1390908658504486},{"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/seeda-cecnsm.2019.8908304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/seeda-cecnsm.2019.8908304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 4th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1637458466","https://openalex.org/W1893431417","https://openalex.org/W1935293109","https://openalex.org/W2012462772","https://openalex.org/W2023923947","https://openalex.org/W2038791641","https://openalex.org/W2044831755","https://openalex.org/W2053245144","https://openalex.org/W2080661738","https://openalex.org/W2104455787","https://openalex.org/W2114056690","https://openalex.org/W2143228105","https://openalex.org/W2143864831","https://openalex.org/W2151609626","https://openalex.org/W2158090937","https://openalex.org/W2170240475","https://openalex.org/W2204780533","https://openalex.org/W2278572312","https://openalex.org/W2307851164","https://openalex.org/W2511730936","https://openalex.org/W2810188063","https://openalex.org/W2901312569","https://openalex.org/W2963446712","https://openalex.org/W3001044503","https://openalex.org/W6688189775","https://openalex.org/W6698302138"],"related_works":["https://openalex.org/W10466877","https://openalex.org/W4876961","https://openalex.org/W4310254","https://openalex.org/W2767009","https://openalex.org/W9827830","https://openalex.org/W4235557","https://openalex.org/W1056348","https://openalex.org/W4240772","https://openalex.org/W5015960","https://openalex.org/W747610"],"abstract_inverted_index":{"The":[0],"objective":[1],"of":[2,25,53,70,88,107,132,146,161],"this":[3],"work":[4],"is":[5,42],"to":[6,115,127],"develop":[7,116],"an":[8,144],"indoor":[9],"location":[10,41,158],"system":[11,152],"with":[12,22,61,164],"high":[13],"precision":[14],"and":[15,91,111],"continuous":[16],"position":[17],"monitoring":[18],"in":[19,85,98,159],"real":[20],"time":[21],"the":[23,40,45,68,77,92,95,102,122,129,133,155,162],"use":[24],"a":[26,86,117],"mobile":[27,58,96],"phone":[28,65],"without":[29],"any":[30],"special":[31],"hardware":[32],"using":[33,44,121],"only":[34],"commercially":[35],"available":[36],"low-cost":[37],"sensors.":[38,66],"Finding":[39],"done":[43],"measured":[46],"Received":[47],"Signal":[48],"Strength":[49],"Indicator":[50],"(RSSI)":[51],"value":[52],"Bluetooth":[54],"beacons":[55],"received":[56],"from":[57,63,80,94],"phones":[59],"combined":[60],"measurements":[62,75,114],"other":[64],"For":[67],"development":[69],"our":[71,113,140,151],"model,":[72],"we":[73,83,137],"collected":[74],"for":[76],"RSSI":[78],"values":[79,93],"Beacons":[81],"which":[82,148],"placed":[84],"space":[87,103],"30.75":[89],"sqm":[90],"accelerometer":[97],"motion.":[99],"We":[100],"divided":[101],"into":[104],"16":[105],"subareas":[106],"1.45m":[108],"x":[109],"1.35m":[110],"used":[112],"machine":[118],"learning":[119],"model":[120,141],"open":[123],"source":[124],"TensorFlow":[125],"framework":[126],"predict":[128,154],"correct":[130,156],"subarea":[131],"user.":[134],"Through":[135],"experiments,":[136],"show":[138],"that":[139,150],"can":[142,153],"reach":[143],"accuracy":[145,165],"0.7209":[147],"means":[149],"user":[157],"72%":[160],"cases":[163],"less":[166],"than":[167],"1":[168],"meter.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
