{"id":"https://openalex.org/W4312622685","doi":"https://doi.org/10.1109/ickii55100.2022.9983587","title":"Real-time Detection of Change of Human Motion by Analyzing Millimeter-wave Doppler Radar Signals Using Deep Learning Techniques","display_name":"Real-time Detection of Change of Human Motion by Analyzing Millimeter-wave Doppler Radar Signals Using Deep Learning Techniques","publication_year":2022,"publication_date":"2022-07-22","ids":{"openalex":"https://openalex.org/W4312622685","doi":"https://doi.org/10.1109/ickii55100.2022.9983587"},"language":"en","primary_location":{"id":"doi:10.1109/ickii55100.2022.9983587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ickii55100.2022.9983587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII )","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/A5059389825","display_name":"Chien-Hung Lai","orcid":"https://orcid.org/0000-0003-1391-0639"},"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":true,"raw_author_name":"Chien-Hung Lai","raw_affiliation_strings":["National Taipei University of Technology,Department of Electronic Engineerning,Taipei,Taiwan","Department of Electronic Engineerning, National Taipei University of Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taipei University of Technology,Department of Electronic Engineerning,Taipei,Taiwan","institution_ids":["https://openalex.org/I118292597"]},{"raw_affiliation_string":"Department of Electronic Engineerning, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060840848","display_name":"Yuh\u2010Shyan Hwang","orcid":"https://orcid.org/0000-0002-1486-4059"},"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":"Yuh-Shyan Hwang","raw_affiliation_strings":["National Taipei University of Technology,Department of Electronic Engineerning,Taipei,Taiwan","Department of Electronic Engineerning, National Taipei University of Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taipei University of Technology,Department of Electronic Engineerning,Taipei,Taiwan","institution_ids":["https://openalex.org/I118292597"]},{"raw_affiliation_string":"Department of Electronic Engineerning, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006705120","display_name":"Sheng-Long Kao","orcid":"https://orcid.org/0000-0002-4035-0406"},"institutions":[{"id":"https://openalex.org/I153512688","display_name":"National Taiwan Ocean University","ror":"https://ror.org/03bvvnt49","country_code":"TW","type":"education","lineage":["https://openalex.org/I153512688"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Sheng-Long Kao","raw_affiliation_strings":["National Taiwan Ocean University,Department of Transportation Science,Keelung,Taiwan","Department of Transportation Science, National Taiwan Ocean University, Keelung, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan Ocean University,Department of Transportation Science,Keelung,Taiwan","institution_ids":["https://openalex.org/I153512688"]},{"raw_affiliation_string":"Department of Transportation Science, National Taiwan Ocean University, Keelung, Taiwan","institution_ids":["https://openalex.org/I153512688"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059389825"],"corresponding_institution_ids":["https://openalex.org/I118292597"],"apc_list":null,"apc_paid":null,"fwci":0.308,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74331821,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"179","last_page":"183"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9983999729156494,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9925000071525574,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9921000003814697,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7155252695083618},{"id":"https://openalex.org/keywords/extremely-high-frequency","display_name":"Extremely high frequency","score":0.7033122777938843},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5813478827476501},{"id":"https://openalex.org/keywords/continuous-wave-radar","display_name":"Continuous-wave radar","score":0.4926655888557434},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.48551464080810547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4599562883377075},{"id":"https://openalex.org/keywords/doppler-radar","display_name":"Doppler radar","score":0.4385557770729065},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4164756238460541},{"id":"https://openalex.org/keywords/doppler-effect","display_name":"Doppler effect","score":0.41333815455436707},{"id":"https://openalex.org/keywords/continuous-wave","display_name":"Continuous wave","score":0.41304540634155273},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3780342936515808},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3419961631298065},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.25194287300109863},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17993488907814026},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1471174955368042},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.13241422176361084}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7155252695083618},{"id":"https://openalex.org/C45764600","wikidata":"https://www.wikidata.org/wiki/Q570342","display_name":"Extremely high frequency","level":2,"score":0.7033122777938843},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5813478827476501},{"id":"https://openalex.org/C59584813","wikidata":"https://www.wikidata.org/wiki/Q1029234","display_name":"Continuous-wave radar","level":4,"score":0.4926655888557434},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.48551464080810547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4599562883377075},{"id":"https://openalex.org/C2778559676","wikidata":"https://www.wikidata.org/wiki/Q1334213","display_name":"Doppler radar","level":3,"score":0.4385557770729065},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4164756238460541},{"id":"https://openalex.org/C142757262","wikidata":"https://www.wikidata.org/wiki/Q76436","display_name":"Doppler effect","level":2,"score":0.41333815455436707},{"id":"https://openalex.org/C99568719","wikidata":"https://www.wikidata.org/wiki/Q1129003","display_name":"Continuous wave","level":3,"score":0.41304540634155273},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3780342936515808},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3419961631298065},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.25194287300109863},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17993488907814026},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1471174955368042},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.13241422176361084},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ickii55100.2022.9983587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ickii55100.2022.9983587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII )","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309618","display_name":"Ministry of Science and Technology","ror":"https://ror.org/02b207r52"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2094602257","https://openalex.org/W2097847401","https://openalex.org/W2140578616","https://openalex.org/W2355170876","https://openalex.org/W2906551905","https://openalex.org/W3034442691","https://openalex.org/W3048749423","https://openalex.org/W6674941753","https://openalex.org/W6705739769"],"related_works":["https://openalex.org/W4312199258","https://openalex.org/W2142793224","https://openalex.org/W3177020083","https://openalex.org/W1985349375","https://openalex.org/W2069451901","https://openalex.org/W2892233029","https://openalex.org/W2759710661","https://openalex.org/W4296525607","https://openalex.org/W2103897432","https://openalex.org/W4210638523"],"abstract_inverted_index":{"A":[0],"system":[1],"based":[2],"on":[3,112],"a":[4,113],"millimeter-wave":[5,84],"radar":[6,85],"module":[7,86],"is":[8,39,132,139],"presented":[9],"in":[10,22,41,93],"this":[11,83],"paper.":[12],"After":[13],"detecting":[14],"the":[15,20,23,30,34,70,94,142],"change":[16,35],"of":[17,36,119],"human":[18,37],"motion,":[19],"changes":[21],"point":[24],"cloud":[25],"are":[26,67],"observed":[27],"by":[28],"analyzing":[29],"Doppler":[31],"signal.":[32],"Then,":[33],"motion":[38],"classified":[40],"real-time":[42],"through":[43,141],"deep":[44],"learning":[45],"(DL)":[46],"techniques":[47],"that":[48],"include":[49],"long":[50],"short-term":[51],"memory":[52],"(LSTM)":[53],"and":[54,65,79,106,122,136],"1D":[55],"time":[56],"distributed":[57],"convolutional":[58],"neural":[59],"network":[60],"(CNN)":[61],"methods.":[62],"Temporal":[63],"continuity":[64],"scalability":[66],"considered":[68],"for":[69],"techniques.":[71],"Measuring":[72],"100":[73],"mm":[74,77,81],"wide,":[75],"40.8":[76],"long,":[78],"52.8":[80],"high,":[82],"features":[87],"Frequency":[88],"Modulated":[89],"Continuous":[90],"Wave":[91],"(FMCW)":[92],"60":[95],"to":[96],"64":[97],"GHz":[98],"frequency":[99],"range":[100],"with":[101],"3":[102],"transmit":[103],"(15":[104],"dBm)":[105],"4":[107],"receive":[108],"antennas":[109],"(14":[110],"dB)":[111],"package":[114],"(AOP),":[115],"120\u00b0":[116],"azimuth":[117],"field":[118],"view":[120],"(FoV),":[121],"40\u00b0":[123],"elevation":[124],"FoV.":[125],"An":[126],"additional":[127],"5V/2A":[128],"DC":[129],"power":[130],"supply":[131],"required":[133],"during":[134],"operation,":[135],"1843200bps":[137],"communication":[138],"used":[140],"USB":[143],"serial":[144],"port.":[145]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}