{"id":"https://openalex.org/W4390693683","doi":"https://doi.org/10.1109/iccais59597.2023.10382332","title":"Improving Human Activity Classification Based on Micro-Doppler Signatures Separation of FMCW Radar","display_name":"Improving Human Activity Classification Based on Micro-Doppler Signatures Separation of FMCW Radar","publication_year":2023,"publication_date":"2023-11-27","ids":{"openalex":"https://openalex.org/W4390693683","doi":"https://doi.org/10.1109/iccais59597.2023.10382332"},"language":"en","primary_location":{"id":"doi:10.1109/iccais59597.2023.10382332","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iccais59597.2023.10382332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 12th International Conference on Control, Automation and Information Sciences (ICCAIS)","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/A5079147111","display_name":"NgocBinh Nguyen","orcid":"https://orcid.org/0000-0002-7504-0520"},"institutions":[{"id":"https://openalex.org/I131359167","display_name":"Le Quy Don Technical University","ror":"https://ror.org/04wgyjv21","country_code":"VN","type":"education","lineage":["https://openalex.org/I131359167"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"NgocBinh Nguyen","raw_affiliation_strings":["Le Quy Don Technical University,HaNoi,VietNam","Le Quy Don Technical University, HaNoi, VietNam"],"affiliations":[{"raw_affiliation_string":"Le Quy Don Technical University,HaNoi,VietNam","institution_ids":["https://openalex.org/I131359167"]},{"raw_affiliation_string":"Le Quy Don Technical University, HaNoi, VietNam","institution_ids":["https://openalex.org/I131359167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101289847","display_name":"TrungThanh Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I131359167","display_name":"Le Quy Don Technical University","ror":"https://ror.org/04wgyjv21","country_code":"VN","type":"education","lineage":["https://openalex.org/I131359167"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"TrungThanh Nguyen","raw_affiliation_strings":["Le Quy Don Technical University,HaNoi,VietNam","Le Quy Don Technical University, HaNoi, VietNam"],"affiliations":[{"raw_affiliation_string":"Le Quy Don Technical University,HaNoi,VietNam","institution_ids":["https://openalex.org/I131359167"]},{"raw_affiliation_string":"Le Quy Don Technical University, HaNoi, VietNam","institution_ids":["https://openalex.org/I131359167"]}]},{"author_position":"middle","author":{"id":null,"display_name":"MinhNghia Pham","orcid":null},"institutions":[{"id":"https://openalex.org/I131359167","display_name":"Le Quy Don Technical University","ror":"https://ror.org/04wgyjv21","country_code":"VN","type":"education","lineage":["https://openalex.org/I131359167"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"MinhNghia Pham","raw_affiliation_strings":["Le Quy Don Technical University,HaNoi,VietNam","Le Quy Don Technical University, HaNoi, VietNam"],"affiliations":[{"raw_affiliation_string":"Le Quy Don Technical University,HaNoi,VietNam","institution_ids":["https://openalex.org/I131359167"]},{"raw_affiliation_string":"Le Quy Don Technical University, HaNoi, VietNam","institution_ids":["https://openalex.org/I131359167"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049806908","display_name":"Quangdung Tran","orcid":"https://orcid.org/0000-0003-3928-0962"},"institutions":[{"id":"https://openalex.org/I131359167","display_name":"Le Quy Don Technical University","ror":"https://ror.org/04wgyjv21","country_code":"VN","type":"education","lineage":["https://openalex.org/I131359167"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"QuangDung Tran","raw_affiliation_strings":["Le Quy Don Technical University,HaNoi,VietNam","Le Quy Don Technical University, HaNoi, VietNam"],"affiliations":[{"raw_affiliation_string":"Le Quy Don Technical University,HaNoi,VietNam","institution_ids":["https://openalex.org/I131359167"]},{"raw_affiliation_string":"Le Quy Don Technical University, HaNoi, VietNam","institution_ids":["https://openalex.org/I131359167"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5079147111"],"corresponding_institution_ids":["https://openalex.org/I131359167"],"apc_list":null,"apc_paid":null,"fwci":0.3245,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54899832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"454","last_page":"459"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9986000061035156,"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"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9796000123023987,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.9467999935150146,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7087014317512512},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6464730501174927},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5512068867683411},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.543203592300415},{"id":"https://openalex.org/keywords/doppler-radar","display_name":"Doppler radar","score":0.5418598651885986},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5111537575721741},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.509161651134491},{"id":"https://openalex.org/keywords/doppler-effect","display_name":"Doppler effect","score":0.463410347700119},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.4495939314365387},{"id":"https://openalex.org/keywords/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.4343586564064026},{"id":"https://openalex.org/keywords/torso","display_name":"Torso","score":0.4198414385318756},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.16414204239845276},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11890503764152527},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11465856432914734},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09402525424957275}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7087014317512512},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6464730501174927},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5512068867683411},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.543203592300415},{"id":"https://openalex.org/C2778559676","wikidata":"https://www.wikidata.org/wiki/Q1334213","display_name":"Doppler radar","level":3,"score":0.5418598651885986},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5111537575721741},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.509161651134491},{"id":"https://openalex.org/C142757262","wikidata":"https://www.wikidata.org/wiki/Q76436","display_name":"Doppler effect","level":2,"score":0.463410347700119},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.4495939314365387},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.4343586564064026},{"id":"https://openalex.org/C523889960","wikidata":"https://www.wikidata.org/wiki/Q160695","display_name":"Torso","level":2,"score":0.4198414385318756},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.16414204239845276},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11890503764152527},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11465856432914734},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09402525424957275},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccais59597.2023.10382332","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iccais59597.2023.10382332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 12th International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1996641167","https://openalex.org/W2006630558","https://openalex.org/W2050381884","https://openalex.org/W2153594606","https://openalex.org/W2155833363","https://openalex.org/W2157770256","https://openalex.org/W2165913693","https://openalex.org/W2194775991","https://openalex.org/W2242223225","https://openalex.org/W2625340532","https://openalex.org/W2770967835","https://openalex.org/W2801792401","https://openalex.org/W2963163009","https://openalex.org/W2970444351","https://openalex.org/W2973122072","https://openalex.org/W3098421607","https://openalex.org/W4210947970","https://openalex.org/W4211264631","https://openalex.org/W4214482791","https://openalex.org/W4245967256","https://openalex.org/W4308718046","https://openalex.org/W4309156365","https://openalex.org/W4394670654","https://openalex.org/W6864277861"],"related_works":["https://openalex.org/W2120540196","https://openalex.org/W3095343173","https://openalex.org/W2381036744","https://openalex.org/W2288135719","https://openalex.org/W2323749021","https://openalex.org/W2533590149","https://openalex.org/W2901989338","https://openalex.org/W82005754","https://openalex.org/W2334448276","https://openalex.org/W3210733254"],"abstract_inverted_index":{"Nowadays,":[0],"Deep":[1],"Convolutional":[2],"Neural":[3],"Networks":[4],"(DCNNs)":[5],"along":[6],"with":[7,73,98],"their":[8],"outstanding":[9],"advantages,":[10],"are":[11,105],"being":[12],"widely":[13],"used":[14],"to":[15,36,53,79,92,103,107,135,138],"identify":[16],"human":[17,43],"activities":[18,44],"based":[19,62],"on":[20,63],"micro-Doppler":[21],"(m-D)":[22],"signatures":[23,51],"obtained":[24],"from":[25,87,101],"radar":[26],"sensors.":[27],"In":[28],"this":[29],"study,":[30],"we":[31],"propose":[32],"a":[33,70,74],"new":[34],"approach":[35],"improve":[37],"the":[38,64,81,85,88,93,114,118,126,139],"classification":[39,131],"accuracy":[40,132],"of":[41,77,84,117],"living":[42],"by":[45,133],"fully":[46],"leveraging":[47],"complicated":[48],"m-":[49],"D":[50],"corresponding":[52],"limb":[54],"movements.":[55],"The":[56,121],"proposed":[57,119,127],"ECM-Th-STFT":[58],"separation":[59,115],"algorithm":[60],"is":[61],"energy":[65],"concentration":[66],"measure":[67],"(ECM)":[68],"and":[69,112],"Th-STFT":[71],"filter":[72],"threshold":[75],"value":[76],"0.3":[78],"separate":[80],"m-D":[82],"signal":[83,90],"limbs":[86],"Doppler":[89],"related":[91],"torso.":[94],"Then,":[95],"six":[96],"DCNNs":[97],"structures":[99],"ranging":[100],"simple":[102],"complex":[104],"utilized":[106],"extract":[108],"features,":[109],"recognize":[110],"activities,":[111],"evaluate":[113],"efficiency":[116],"method.":[120],"experimental":[122],"results":[123],"show":[124],"that":[125],"method":[128],"has":[129],"improved":[130],"up":[134],"6%":[136],"compared":[137],"original":[140],"unseparated":[141],"dataset.":[142]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
