{"id":"https://openalex.org/W2794624802","doi":"https://doi.org/10.3390/s18041061","title":"Double-Windows-Based Motion Recognition in Multi-Floor Buildings Assisted by a Built-In Barometer","display_name":"Double-Windows-Based Motion Recognition in Multi-Floor Buildings Assisted by a Built-In Barometer","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2794624802","doi":"https://doi.org/10.3390/s18041061","mag":"2794624802","pmid":"https://pubmed.ncbi.nlm.nih.gov/29614791"},"language":"en","primary_location":{"id":"doi:10.3390/s18041061","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18041061","pdf_url":"https://www.mdpi.com/1424-8220/18/4/1061/pdf?version=1525346662","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/18/4/1061/pdf?version=1525346662","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103284445","display_name":"Maolin Liu","orcid":"https://orcid.org/0000-0003-3319-6284"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maolin Liu","raw_affiliation_strings":["Institute of Remote Sensing and GIS, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing 100871, China"],"raw_orcid":"https://orcid.org/0000-0003-3319-6284","affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and GIS, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101533980","display_name":"Huaiyu Li","orcid":"https://orcid.org/0000-0001-7435-2218"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210129465","display_name":"Wuhan Ship Development & Design Institute","ror":"https://ror.org/02mcdae06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210129465"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huaiyu Li","raw_affiliation_strings":["China Ship Research and Development Academy, No. 2, Shuangquanbao, Chaoyang District, Beijing 100101, China","Institute of Remote Sensing and GIS, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing 100871, China"],"raw_orcid":"https://orcid.org/0000-0001-7435-2218","affiliations":[{"raw_affiliation_string":"China Ship Research and Development Academy, No. 2, Shuangquanbao, Chaoyang District, Beijing 100101, China","institution_ids":["https://openalex.org/I4210129465"]},{"raw_affiliation_string":"Institute of Remote Sensing and GIS, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100344894","display_name":"Yuan Wang","orcid":"https://orcid.org/0000-0003-1442-2952"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Wang","raw_affiliation_strings":["Institute of Remote Sensing and GIS, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and GIS, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111164956","display_name":"Fei Li","orcid":"https://orcid.org/0000-0002-2089-7121"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Li","raw_affiliation_strings":["Institute of Remote Sensing and GIS, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and GIS, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110038361","display_name":"Xiuwan Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuwan Chen","raw_affiliation_strings":["Institute of Remote Sensing and GIS, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing 100871, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and GIS, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101533980"],"corresponding_institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210129465"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.5877,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.66559253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"18","issue":"4","first_page":"1061","last_page":"1061"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14011","display_name":"Elevator Systems and Control","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T14011","display_name":"Elevator Systems and Control","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9789999723434448,"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"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9670000076293945,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/barometer","display_name":"Barometer","score":0.967582643032074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6463300585746765},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.6329705715179443},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.577034592628479},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5501427054405212},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.54904705286026},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4866679310798645},{"id":"https://openalex.org/keywords/elevator","display_name":"Elevator","score":0.4733712077140808},{"id":"https://openalex.org/keywords/gyroscope","display_name":"Gyroscope","score":0.47058430314064026},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46375611424446106},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4478342831134796},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3988021910190582},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.356328547000885},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.078806072473526}],"concepts":[{"id":"https://openalex.org/C107284991","wikidata":"https://www.wikidata.org/wiki/Q79757","display_name":"Barometer","level":2,"score":0.967582643032074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6463300585746765},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.6329705715179443},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.577034592628479},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5501427054405212},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.54904705286026},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4866679310798645},{"id":"https://openalex.org/C147021018","wikidata":"https://www.wikidata.org/wiki/Q252451","display_name":"Elevator","level":2,"score":0.4733712077140808},{"id":"https://openalex.org/C158488048","wikidata":"https://www.wikidata.org/wiki/Q483400","display_name":"Gyroscope","level":2,"score":0.47058430314064026},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46375611424446106},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4478342831134796},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3988021910190582},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.356328547000885},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.078806072473526},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s18041061","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18041061","pdf_url":"https://www.mdpi.com/1424-8220/18/4/1061/pdf?version=1525346662","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:29614791","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29614791","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:europepmc.org:4874239","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5948638","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:fd894275b1aa467b9e63a8a6621ae771","is_oa":true,"landing_page_url":"https://doaj.org/article/fd894275b1aa467b9e63a8a6621ae771","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 18, Iss 4, p 1061 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/18/4/1061/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s18041061","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 18; Issue 4; Pages: 1061","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s18041061","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18041061","pdf_url":"https://www.mdpi.com/1424-8220/18/4/1061/pdf?version=1525346662","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324787","display_name":"Peking University","ror":"https://ror.org/02v51f717"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2794624802.pdf","grobid_xml":"https://content.openalex.org/works/W2794624802.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W85350352","https://openalex.org/W1649444134","https://openalex.org/W1982872386","https://openalex.org/W1993100747","https://openalex.org/W1995062067","https://openalex.org/W1998552594","https://openalex.org/W1999318832","https://openalex.org/W2000453311","https://openalex.org/W2001723091","https://openalex.org/W2008311091","https://openalex.org/W2012281465","https://openalex.org/W2033276313","https://openalex.org/W2035787713","https://openalex.org/W2045940997","https://openalex.org/W2053075686","https://openalex.org/W2054242744","https://openalex.org/W2071534230","https://openalex.org/W2085871825","https://openalex.org/W2104167780","https://openalex.org/W2104715395","https://openalex.org/W2114169362","https://openalex.org/W2128628418","https://openalex.org/W2129004304","https://openalex.org/W2132791018","https://openalex.org/W2137029138","https://openalex.org/W2148143831","https://openalex.org/W2151077976","https://openalex.org/W2163212437","https://openalex.org/W2165336370","https://openalex.org/W2170085298","https://openalex.org/W2190553737","https://openalex.org/W2190562344","https://openalex.org/W2195453971","https://openalex.org/W2250875882","https://openalex.org/W2289420286","https://openalex.org/W2364705553","https://openalex.org/W2404247879","https://openalex.org/W2419620966","https://openalex.org/W2565131991","https://openalex.org/W2597998128","https://openalex.org/W2598391117","https://openalex.org/W2606860844","https://openalex.org/W2620285082","https://openalex.org/W2621756602","https://openalex.org/W2766892407","https://openalex.org/W2767979715","https://openalex.org/W2803302806","https://openalex.org/W2911964244"],"related_works":["https://openalex.org/W2907955501","https://openalex.org/W2356006086","https://openalex.org/W2545168295","https://openalex.org/W2365897603","https://openalex.org/W4234814094","https://openalex.org/W2156308897","https://openalex.org/W4303613760","https://openalex.org/W2361871310","https://openalex.org/W2417246878","https://openalex.org/W1982154684"],"abstract_inverted_index":{"Accelerometers,":[0],"gyroscopes":[1],"and":[2,22,67,83,109,137,173,188,203],"magnetometers":[3],"in":[4,25,47,55,104],"smartphones":[5,48,99],"are":[6,179],"often":[7],"used":[8],"to":[9,17,80,133,150],"recognize":[10],"human":[11],"motions.":[12,214],"Since":[13],"it":[14],"is":[15,38,61,74,131,147,191],"difficult":[16],"distinguish":[18],"between":[19],"vertical":[20,34,57,101,213],"motions":[21,24,190],"horizontal":[23],"the":[26,33,50,56,70,75,96,152,164,174,182,186],"data":[27,88,156],"provided":[28],"by":[29],"these":[30],"built-in":[31,45],"sensors,":[32],"motion":[35,53,81,102],"recognition":[36,54,103,135,158,165,183],"accuracy":[37,51,136,166,184,211],"relatively":[39],"low.":[40],"The":[41,160,198],"emergence":[42],"of":[43,52,64,69,77,86,112,128,154,185,212],"a":[44,62,84,141,206],"barometer":[46,71],"improves":[49],"direction.":[58],"However,":[59],"there":[60],"lack":[63],"quantitative":[65],"analysis":[66],"modelling":[68,108],"signals,":[72],"which":[73,122],"basis":[76],"barometer's":[78],"application":[79],"recognition,":[82],"problem":[85],"imbalanced":[87,155],"also":[89],"exists.":[90],"This":[91],"work":[92],"focuses":[93],"on":[94,157],"using":[95],"barometers":[97],"inside":[98],"for":[100,209],"multi-floor":[105],"buildings":[106],"through":[107],"feature":[110,119],"extraction":[111,120],"pressure":[113,118,171],"signals.":[114],"A":[115],"novel":[116],"double-windows":[117],"method,":[121],"adopts":[123],"two":[124],"sliding":[125],"time":[126],"windows":[127],"different":[129],"length,":[130],"proposed":[132,199],"balance":[134],"response":[138,196],"time.":[139,197],"Then,":[140],"random":[142,176],"forest":[143,177],"classifier":[144,178],"correlation":[145],"rule":[146],"further":[148],"designed":[149],"weaken":[151],"impact":[153],"accuracy.":[159],"results":[161],"demonstrate":[162],"that":[163],"can":[167],"reach":[168],"95.05%":[169],"when":[170],"features":[172],"improved":[175,193],"adopted.":[180],"Specifically,":[181],"stair":[187],"elevator":[189],"significantly":[192],"with":[194],"enhanced":[195],"approach":[200],"proves":[201],"effective":[202],"accurate,":[204],"providing":[205],"robust":[207],"strategy":[208],"increasing":[210]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}