{"id":"https://openalex.org/W2904333148","doi":"https://doi.org/10.1109/upinlbs.2018.8559719","title":"Smartphones based Online Activity Recognition for Indoor Localization using Deep Convolutional Neural Network","display_name":"Smartphones based Online Activity Recognition for Indoor Localization using Deep Convolutional Neural Network","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2904333148","doi":"https://doi.org/10.1109/upinlbs.2018.8559719","mag":"2904333148"},"language":"en","primary_location":{"id":"doi:10.1109/upinlbs.2018.8559719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/upinlbs.2018.8559719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Ubiquitous Positioning, Indoor Navigation and Location-Based Services (UPINLBS)","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/A5103205273","display_name":"Jun Yang","orcid":"https://orcid.org/0000-0002-2124-0869"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210161783","display_name":"GeoInformation (United Kingdom)","ror":"https://ror.org/05t4zqc79","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210161783"]}],"countries":["CN","GB"],"is_corresponding":true,"raw_author_name":"Jun Yang","raw_affiliation_strings":["Shenzhen Key Laboratory of Spatial Smart Sensing and Services Key Laboratory for Geo-Environment Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and Geoinformation, Shenzhen University"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Spatial Smart Sensing and Services Key Laboratory for Geo-Environment Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and Geoinformation, Shenzhen University","institution_ids":["https://openalex.org/I4210161783","https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101761689","display_name":"Kai Cheng","orcid":"https://orcid.org/0000-0002-4340-8482"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210161783","display_name":"GeoInformation (United Kingdom)","ror":"https://ror.org/05t4zqc79","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210161783"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Kai Cheng","raw_affiliation_strings":["Shenzhen Key Laboratory of Spatial Smart Sensing and Services Key Laboratory for Geo-Environment Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and Geoinformation, Shenzhen University"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Spatial Smart Sensing and Services Key Laboratory for Geo-Environment Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and Geoinformation, Shenzhen University","institution_ids":["https://openalex.org/I4210161783","https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030216234","display_name":"Jianfan Chen","orcid":"https://orcid.org/0000-0003-1090-7725"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210161783","display_name":"GeoInformation (United Kingdom)","ror":"https://ror.org/05t4zqc79","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210161783"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Jianfan Chen","raw_affiliation_strings":["Shenzhen Key Laboratory of Spatial Smart Sensing and Services Key Laboratory for Geo-Environment Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and Geoinformation, Shenzhen University"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Spatial Smart Sensing and Services Key Laboratory for Geo-Environment Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and Geoinformation, Shenzhen University","institution_ids":["https://openalex.org/I4210161783","https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041042386","display_name":"Baoding Zhou","orcid":"https://orcid.org/0000-0003-1607-2626"},"institutions":[{"id":"https://openalex.org/I4210161783","display_name":"GeoInformation (United Kingdom)","ror":"https://ror.org/05t4zqc79","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210161783"]},{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Baoding Zhou","raw_affiliation_strings":["Shenzhen Key Laboratory of Spatial Smart Sensing and Services Key Laboratory for Geo-Environment Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and Geoinformation, Shenzhen University"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Spatial Smart Sensing and Services Key Laboratory for Geo-Environment Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and Geoinformation, Shenzhen University","institution_ids":["https://openalex.org/I4210161783","https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100404067","display_name":"Qingquan Li","orcid":"https://orcid.org/0000-0002-2438-6046"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210161783","display_name":"GeoInformation (United Kingdom)","ror":"https://ror.org/05t4zqc79","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210161783"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Qingquan Li","raw_affiliation_strings":["Shenzhen Key Laboratory of Spatial Smart Sensing and Services Key Laboratory for Geo-Environment Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and Geoinformation, Shenzhen University"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Spatial Smart Sensing and Services Key Laboratory for Geo-Environment Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and Geoinformation, Shenzhen University","institution_ids":["https://openalex.org/I4210161783","https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103205273"],"corresponding_institution_ids":["https://openalex.org/I180726961","https://openalex.org/I4210161783"],"apc_list":null,"apc_paid":null,"fwci":0.8357,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.79473646,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9965000152587891,"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/T12546","display_name":"Smart Parking Systems Research","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/elevator","display_name":"Elevator","score":0.8114892244338989},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7902321815490723},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7869149446487427},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.687158465385437},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6844922304153442},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.6569892764091492},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.617838978767395},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5491965413093567},{"id":"https://openalex.org/keywords/gyroscope","display_name":"Gyroscope","score":0.5141594409942627},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4746547341346741},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.43837520480155945},{"id":"https://openalex.org/keywords/barometer","display_name":"Barometer","score":0.43612900376319885},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37357139587402344},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3235088586807251},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12053471803665161},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06647539138793945}],"concepts":[{"id":"https://openalex.org/C147021018","wikidata":"https://www.wikidata.org/wiki/Q252451","display_name":"Elevator","level":2,"score":0.8114892244338989},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7902321815490723},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7869149446487427},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.687158465385437},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6844922304153442},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.6569892764091492},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.617838978767395},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5491965413093567},{"id":"https://openalex.org/C158488048","wikidata":"https://www.wikidata.org/wiki/Q483400","display_name":"Gyroscope","level":2,"score":0.5141594409942627},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4746547341346741},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.43837520480155945},{"id":"https://openalex.org/C107284991","wikidata":"https://www.wikidata.org/wiki/Q79757","display_name":"Barometer","level":2,"score":0.43612900376319885},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37357139587402344},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3235088586807251},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12053471803665161},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06647539138793945},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/upinlbs.2018.8559719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/upinlbs.2018.8559719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Ubiquitous Positioning, Indoor Navigation and Location-Based Services (UPINLBS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W119403003","https://openalex.org/W1670904102","https://openalex.org/W1857382374","https://openalex.org/W2003792585","https://openalex.org/W2017634428","https://openalex.org/W2035877237","https://openalex.org/W2043502923","https://openalex.org/W2050880745","https://openalex.org/W2105046342","https://openalex.org/W2114868488","https://openalex.org/W2127127580","https://openalex.org/W2129793335","https://openalex.org/W2152449912","https://openalex.org/W2164427779","https://openalex.org/W2334294332","https://openalex.org/W2342792048","https://openalex.org/W2606389712","https://openalex.org/W2607216769","https://openalex.org/W2619089354","https://openalex.org/W2743898215","https://openalex.org/W2787367245","https://openalex.org/W2919115771"],"related_works":["https://openalex.org/W1997752975","https://openalex.org/W2596141173","https://openalex.org/W1991898702","https://openalex.org/W4241837227","https://openalex.org/W1507618586","https://openalex.org/W2031114480","https://openalex.org/W4233969487","https://openalex.org/W2072447162","https://openalex.org/W2059638538","https://openalex.org/W2907955501"],"abstract_inverted_index":{"In":[0,90],"the":[1,4,7,25,28,35,43,54,61,63,66,82,120,127,162,204],"indoor":[2,46],"environment,":[3],"activity":[5,19,64,163,176],"of":[6,27,50,65,84,142,185,195],"pedestrian":[8,67,87,98,175],"can":[9,39,68],"reflect":[10],"some":[11],"semantic":[12],"information,":[13],"for":[14,45],"example,":[15],"if":[16],"a":[17,95,174],"user's":[18],"is":[20,30],"recognized":[21],"as":[22,42],"taking":[23],"elevator,":[24,149,153],"location":[26],"user":[29],"inferred":[31],"to":[32,81,118,166,202],"be":[33,40,69],"in":[34,134,138],"elevator.":[36],"These":[37],"activities":[38,88,99],"used":[41],"landmarks":[44],"localization.":[47],"The":[48],"development":[49],"sensor":[51],"technology":[52],"enhances":[53],"smartphone's":[55],"sensing":[56],"and":[57,157,189],"computational":[58],"capabilities.":[59],"Using":[60],"smartphones,":[62],"recognized.":[70],"Current":[71],"methods":[72],"rely":[73],"on":[74,103],"extracting":[75],"complex":[76],"hand-crafted":[77],"features,":[78],"thus":[79],"leading":[80],"incapability":[83],"real":[85,96],"time":[86,97],"identification.":[89],"this":[91],"paper,":[92],"we":[93,160,171],"propose":[94],"recognition":[100,164],"method":[101,129],"based":[102],"deep":[104,110],"convolutional":[105,111],"neural":[106,112],"network.":[107],"A":[108],"new":[109],"(CNN)":[113],"network":[114],"has":[115],"been":[116],"designed":[117],"learn":[119],"proper":[121],"features":[122],"automatically.":[123],"Experiments":[124],"show":[125],"that":[126],"proposed":[128],"achieves":[130],"approximately":[131],"95.21%":[132],"accuracy":[133],"about":[135],"2":[136],"seconds":[137],"identifying":[139],"nine":[140],"types":[141,194],"activities,":[143],"including":[144],"still,":[145],"walk,":[146],"upstairs,":[147],"up":[148,150],"escalator,":[151,155],"down":[152,154],"downstairs":[156],"turning.":[158],"Besides,":[159],"transplant":[161],"algorithm":[165],"smartphones":[167],"using":[168],"tensorflow.":[169],"Moreover,":[170],"have":[172],"built":[173],"database,":[177],"which":[178],"contains":[179],"more":[180],"than":[181],"6":[182],"GB":[183],"data":[184],"accelerometer,":[186],"magnetometer,":[187],"gyroscope":[188],"barometer":[190],"collected":[191],"with":[192],"various":[193],"smartphones.":[196],"We":[197],"will":[198],"make":[199],"it":[200],"public":[201],"contribute":[203],"academic":[205],"research.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}