{"id":"https://openalex.org/W4313427504","doi":"https://doi.org/10.1109/latincom56090.2022.10000702","title":"Wi-Fi CSI-based Human Presence Detection Using DTW Features and Machine Learning","display_name":"Wi-Fi CSI-based Human Presence Detection Using DTW Features and Machine Learning","publication_year":2022,"publication_date":"2022-11-30","ids":{"openalex":"https://openalex.org/W4313427504","doi":"https://doi.org/10.1109/latincom56090.2022.10000702"},"language":"en","primary_location":{"id":"doi:10.1109/latincom56090.2022.10000702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/latincom56090.2022.10000702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Latin-American Conference on Communications (LATINCOM)","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/A5006982829","display_name":"Julio C. H. Soto","orcid":"https://orcid.org/0000-0003-1439-762X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Julio C. H. Soto","raw_affiliation_strings":["Institute of Computing - UFF,MidiaCom Lab,Niter&#x00F3;i,RJ,Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Computing - UFF,MidiaCom Lab,Niter&#x00F3;i,RJ,Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051238424","display_name":"Iandra Galdino","orcid":"https://orcid.org/0000-0002-3564-2092"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Iandra Galdino","raw_affiliation_strings":["Institute of Computing - UFF,MidiaCom Lab,Niter&#x00F3;i,RJ,Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Computing - UFF,MidiaCom Lab,Niter&#x00F3;i,RJ,Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013442268","display_name":"Brenda G. Gouveia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brenda G. Gouveia","raw_affiliation_strings":["Institute of Computing - UFF,MidiaCom Lab,Niter&#x00F3;i,RJ,Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Computing - UFF,MidiaCom Lab,Niter&#x00F3;i,RJ,Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010596637","display_name":"Egberto Caballero","orcid":"https://orcid.org/0000-0003-1606-9283"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Egberto Caballero","raw_affiliation_strings":["Institute of Computing - UFF,MidiaCom Lab,Niter&#x00F3;i,RJ,Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Computing - UFF,MidiaCom Lab,Niter&#x00F3;i,RJ,Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050720024","display_name":"Vin\u00edcius Ferreira","orcid":"https://orcid.org/0000-0003-0708-3446"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vinicius Ferreira","raw_affiliation_strings":["Institute of Computing - UFF,MidiaCom Lab,Niter&#x00F3;i,RJ,Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Computing - UFF,MidiaCom Lab,Niter&#x00F3;i,RJ,Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017693414","display_name":"D\u00e9bora C. Muchaluat-Saade","orcid":"https://orcid.org/0000-0002-1233-9736"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Debora Muchaluat-Saade","raw_affiliation_strings":["Institute of Computing - UFF,MidiaCom Lab,Niter&#x00F3;i,RJ,Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Computing - UFF,MidiaCom Lab,Niter&#x00F3;i,RJ,Brazil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066716326","display_name":"C\u00e9lio Albuquerque","orcid":"https://orcid.org/0000-0002-7959-6569"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Celio Albuquerque","raw_affiliation_strings":["Institute of Computing - UFF,MidiaCom Lab,Niter&#x00F3;i,RJ,Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Computing - UFF,MidiaCom Lab,Niter&#x00F3;i,RJ,Brazil","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5006982829"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2006,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.78394409,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9901999831199646,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8264150023460388},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.768724799156189},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.765433669090271},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.625828742980957},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5918596386909485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5528118014335632},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.4469192326068878},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4287002384662628},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3725685179233551},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.34650805592536926},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3324424624443054},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10318604111671448}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8264150023460388},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.768724799156189},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.765433669090271},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.625828742980957},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5918596386909485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5528118014335632},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.4469192326068878},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4287002384662628},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3725685179233551},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.34650805592536926},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3324424624443054},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10318604111671448},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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":1,"locations":[{"id":"doi:10.1109/latincom56090.2022.10000702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/latincom56090.2022.10000702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Latin-American Conference on Communications (LATINCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1894623711","https://openalex.org/W1965398296","https://openalex.org/W2036673818","https://openalex.org/W2139399084","https://openalex.org/W2756291343","https://openalex.org/W2763219399","https://openalex.org/W2764026391","https://openalex.org/W2791489307","https://openalex.org/W2834022868","https://openalex.org/W2886933259","https://openalex.org/W2941755176","https://openalex.org/W2952065976","https://openalex.org/W2952582779","https://openalex.org/W2977137620","https://openalex.org/W2980021985","https://openalex.org/W3006253465","https://openalex.org/W3031436417","https://openalex.org/W3094440766","https://openalex.org/W3129365384","https://openalex.org/W3132988742"],"related_works":["https://openalex.org/W2341338763","https://openalex.org/W2950183183","https://openalex.org/W2030799363","https://openalex.org/W2032415964","https://openalex.org/W2288425735","https://openalex.org/W4396689146","https://openalex.org/W2087439682","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W2004826645"],"abstract_inverted_index":{"With":[0],"the":[1,79,90,109],"development":[2],"of":[3,81],"smart":[4],"devices,":[5],"human":[6,32,74],"detection":[7,26],"and":[8,21,34,47,95,101],"localization":[9],"became":[10],"important":[11],"tasks":[12],"for":[13,63,72],"several":[14],"applications":[15],"including":[16],"security,":[17],"healthcare":[18],"monitoring,":[19],"entertainment,":[20],"so":[22],"on.":[23],"Existing":[24],"signal-based":[25],"systems,":[27],"mostly":[28],"focus":[29],"on":[30,54],"detecting":[31,73],"activities":[33],"classifying":[35],"them":[36],"by":[37],"Machine":[38,45],"Learning":[39],"(ML)":[40],"methods,":[41],"like":[42],"Support":[43],"Vector":[44],"(SVM)":[46],"Random":[48],"Forest":[49],"(RF).":[50],"This":[51],"paper":[52],"focuses":[53],"device-free":[55],"presence":[56],"detection.":[57],"We":[58],"propose":[59],"a":[60],"specific":[61],"setup":[62],"collecting":[64],"Wi-Fi":[65],"based":[66],"Channel":[67],"State":[68],"Information":[69],"(CSI)":[70],"data":[71],"presence.":[75],"The":[76,98],"proposal":[77],"includes":[78],"application":[80],"Dynamic":[82],"Time":[83],"Warping":[84],"(DTW)":[85],"algorithm":[86],"features":[87],"to":[88,108],"compare":[89],"differences":[91],"between":[92],"empty":[93],"rooms":[94],"filled":[96],"rooms.":[97],"proposed":[99],"architecture":[100],"approach":[102],"achieves":[103],"competitive":[104],"accuracy":[105],"when":[106],"compared":[107],"existing":[110],"technologies.":[111]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
