{"id":"https://openalex.org/W2985302957","doi":"https://doi.org/10.1109/vtcfall.2019.8891200","title":"Device-Free Multiple Presence Detection Using CSI with Machine Learning Methods","display_name":"Device-Free Multiple Presence Detection Using CSI with Machine Learning Methods","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2985302957","doi":"https://doi.org/10.1109/vtcfall.2019.8891200","mag":"2985302957"},"language":"en","primary_location":{"id":"doi:10.1109/vtcfall.2019.8891200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2019.8891200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","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/A5051203798","display_name":"Yuming Huang","orcid":"https://orcid.org/0000-0003-4629-326X"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yu-Ming Huang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan","National Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046698517","display_name":"An-Hung Hsiao","orcid":"https://orcid.org/0009-0001-5815-2205"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"An-Hung Hsiao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan","National Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101437262","display_name":"Chun-Jie Chiu","orcid":"https://orcid.org/0000-0003-4040-8521"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chun-Jie Chiu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan","National Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020169858","display_name":"Kai\u2010Ten Feng","orcid":"https://orcid.org/0000-0002-2781-8449"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kai-Ten Feng","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan","National Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086912890","display_name":"Po\u2010Hsuan Tseng","orcid":"https://orcid.org/0000-0002-9542-5639"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Po-Hsuan Tseng","raw_affiliation_strings":["Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan","National Taipei University of Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]},{"raw_affiliation_string":"National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5051203798"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":0.3577,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.61848868,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8176106214523315},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7668967247009277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7365120053291321},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7179569602012634},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6732197999954224},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6098829507827759},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49387603998184204},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45466935634613037},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.44767510890960693},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4289100170135498},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.41063234210014343},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07448622584342957}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8176106214523315},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7668967247009277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7365120053291321},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7179569602012634},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6732197999954224},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6098829507827759},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49387603998184204},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45466935634613037},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.44767510890960693},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4289100170135498},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.41063234210014343},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07448622584342957},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcfall.2019.8891200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2019.8891200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","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":11,"referenced_works":["https://openalex.org/W1496431500","https://openalex.org/W2011970787","https://openalex.org/W2044846595","https://openalex.org/W2051376734","https://openalex.org/W2143228105","https://openalex.org/W2170102584","https://openalex.org/W2309512289","https://openalex.org/W2345276999","https://openalex.org/W2735507411","https://openalex.org/W2764026391","https://openalex.org/W2905201025"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W3037110488","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W138569904","https://openalex.org/W2390914021"],"abstract_inverted_index":{"Present":[0],"detection":[1,21,37,45],"can":[2,16,28,86,109],"remotely":[3],"detect":[4,110],"whether":[5],"a":[6,41,56],"person":[7],"appears":[8],"in":[9],"specific":[10],"scene.":[11],"Channel":[12],"state":[13],"information":[14],"(CSI)":[15],"provide":[17],"high":[18,119],"precision":[19],"environment":[20],"by":[22,47],"its":[23],"characteristic,":[24],"and":[25,55,65,88],"this":[26],"technology":[27],"often":[29],"be":[30],"adopted":[31],"for":[32,52,100],"indoor":[33],"localization":[34],"or":[35],"presence":[36,44,74,104,112],"nowadays.":[38],"We":[39],"propose":[40],"device-free":[42],"multiple":[43,114],"system":[46,59,108],"using":[48],"particular":[49],"preprocessing":[50],"method":[51],"our":[53],"system,":[54],"two-stage":[57],"learning":[58],"combining":[60],"convolutional":[61,82],"denoising":[62],"autoencoder":[63],"(CDAE)":[64],"neural":[66],"network":[67],"(NN)":[68],"to":[69],"classify":[70],"different":[71],"cases":[72,99],"of":[73,92,103,113],"detection.":[75,105],"The":[76,94,106],"first":[77],"stage":[78,96],"contains":[79],"several":[80],"one-dimensional":[81],"hidden":[83],"layers":[84],"which":[85],"denoise":[87],"reduce":[89],"the":[90,98,101,111],"dimension":[91],"data.":[93],"second":[95],"classifies":[97],"purpose":[102],"proposed":[107],"persons":[115],"at":[116],"hotspots":[117],"with":[118],"estimation":[120],"accuracy.":[121]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}