{"id":"https://openalex.org/W4200554411","doi":"https://doi.org/10.1109/gcce53005.2021.9622021","title":"Comparison of RSSI Processing Methods for Improved Estimation Accuracy in BLE Indoor Position and Movement Direction Estimation System Using DNN","display_name":"Comparison of RSSI Processing Methods for Improved Estimation Accuracy in BLE Indoor Position and Movement Direction Estimation System Using DNN","publication_year":2021,"publication_date":"2021-10-12","ids":{"openalex":"https://openalex.org/W4200554411","doi":"https://doi.org/10.1109/gcce53005.2021.9622021"},"language":"en","primary_location":{"id":"doi:10.1109/gcce53005.2021.9622021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce53005.2021.9622021","pdf_url":null,"source":{"id":"https://openalex.org/S4363607807","display_name":"2021 IEEE 10th Global Conference on Consumer Electronics (GCCE)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 10th Global Conference on Consumer Electronics (GCCE)","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/A5071023845","display_name":"Kaito Echizenya","orcid":null},"institutions":[{"id":"https://openalex.org/I112524849","display_name":"Yamagata University","ror":"https://ror.org/00xy44n04","country_code":"JP","type":"education","lineage":["https://openalex.org/I112524849"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kaito Echizenya","raw_affiliation_strings":["Yamagata University, Yonezawa, Japan"],"affiliations":[{"raw_affiliation_string":"Yamagata University, Yonezawa, Japan","institution_ids":["https://openalex.org/I112524849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054505593","display_name":"Kazuhiro Kondo","orcid":"https://orcid.org/0000-0003-2160-8683"},"institutions":[{"id":"https://openalex.org/I112524849","display_name":"Yamagata University","ror":"https://ror.org/00xy44n04","country_code":"JP","type":"education","lineage":["https://openalex.org/I112524849"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhiro Kondo","raw_affiliation_strings":["Yamagata University, Yonezawa, Japan"],"affiliations":[{"raw_affiliation_string":"Yamagata University, Yonezawa, Japan","institution_ids":["https://openalex.org/I112524849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071023845"],"corresponding_institution_ids":["https://openalex.org/I112524849"],"apc_list":null,"apc_paid":null,"fwci":0.8655,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65844771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"58","last_page":"59"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9883999824523926,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9736999869346619,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7176318168640137},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6454837918281555},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5449784994125366},{"id":"https://openalex.org/keywords/beacon","display_name":"Beacon","score":0.5012052059173584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49164944887161255},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4839385151863098},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.4493447244167328},{"id":"https://openalex.org/keywords/position-error","display_name":"Position error","score":0.43268176913261414},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19632062315940857},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.19464632868766785},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.166640043258667},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09664535522460938},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.09565269947052002},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.0847083330154419}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7176318168640137},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6454837918281555},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5449784994125366},{"id":"https://openalex.org/C102168758","wikidata":"https://www.wikidata.org/wiki/Q7321258","display_name":"Beacon","level":2,"score":0.5012052059173584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49164944887161255},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4839385151863098},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.4493447244167328},{"id":"https://openalex.org/C173064807","wikidata":"https://www.wikidata.org/wiki/Q7233190","display_name":"Position error","level":3,"score":0.43268176913261414},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19632062315940857},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.19464632868766785},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.166640043258667},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09664535522460938},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.09565269947052002},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.0847083330154419},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce53005.2021.9622021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce53005.2021.9622021","pdf_url":null,"source":{"id":"https://openalex.org/S4363607807","display_name":"2021 IEEE 10th Global Conference on Consumer Electronics (GCCE)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 10th Global Conference on Consumer Electronics (GCCE)","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":3,"referenced_works":["https://openalex.org/W2081004296","https://openalex.org/W2799045344","https://openalex.org/W3115208773"],"related_works":["https://openalex.org/W2363714143","https://openalex.org/W2625346303","https://openalex.org/W2662395510","https://openalex.org/W2148964064","https://openalex.org/W2348426685","https://openalex.org/W2362151011","https://openalex.org/W4206408907","https://openalex.org/W597761796","https://openalex.org/W2363590428","https://openalex.org/W2094775411"],"abstract_inverted_index":{"We":[0,88],"investigated":[1],"a":[2,13,35,39,103,116,123,137],"method":[3],"for":[4],"simultaneously":[5],"estimating":[6],"the":[7,54,63,67,84,93,98,112],"position":[8,55,117],"and":[9,56,77,122],"movement":[10,57,101,124],"direction":[11,58,99,125,134],"of":[12,21,59,100,120,128],"pedestrian":[14,40],"walking":[15],"indoors,":[16],"using":[17],"multiple":[18,28],"time":[19,86],"instances":[20],"Received":[22],"Signal":[23],"Strength":[24],"Indicators":[25],"(RSSIs)":[26],"from":[27,62],"Bluetooth":[29],"Low":[30],"Energy":[31],"beacons":[32],"detected":[33],"by":[34,38,96,146],"smartphone":[36,61],"carried":[37],"moving":[41],"in":[42],"eight":[43],"different":[44],"directions.":[45],"A":[46],"deep":[47],"neural":[48],"network":[49],"is":[50],"trained":[51],"to":[52,79,91],"estimate":[53],"this":[60],"measured":[64],"RSSIs.We":[65],"compared":[66],"estimation":[68,94,118,126,133],"accuracy":[69,135],"when":[70],"an":[71],"RSSI":[72],"set":[73],"was":[74,108,111,130,140],"interpolated,":[75],"extrapolated,":[76],"unprocessed":[78],"obtain":[80],"its":[81],"value":[82,139],"at":[83],"required":[85],"instance.":[87],"also":[89],"tried":[90],"reduce":[92],"error":[95,119,127],"treating":[97],"as":[102,136],"continuous":[104,138],"value.":[105],"The":[106,132],"conclusion":[107],"that":[109,144],"interpolation":[110],"most":[113],"effective,":[114],"with":[115],"0.410m":[121],"15.10\u00b0":[129],"achieved.":[131],"12.8%":[141],"better":[142],"than":[143],"estimated":[145],"previous":[147],"categorical":[148],"experiments.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
