{"id":"https://openalex.org/W3208065846","doi":"https://doi.org/10.1109/icspcc52875.2021.9564487","title":"CentralNet Method for Human motion Recognition Based on Multi-feature Fusion of Millimeter Wave Radar","display_name":"CentralNet Method for Human motion Recognition Based on Multi-feature Fusion of Millimeter Wave Radar","publication_year":2021,"publication_date":"2021-08-17","ids":{"openalex":"https://openalex.org/W3208065846","doi":"https://doi.org/10.1109/icspcc52875.2021.9564487","mag":"3208065846"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc52875.2021.9564487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc52875.2021.9564487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5004730674","display_name":"Yue Zhao","orcid":"https://orcid.org/0000-0003-2753-5921"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhao","raw_affiliation_strings":["College of Electronic and Information Engineering, Nanjing university of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing university of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042014818","display_name":"Wen Hu","orcid":"https://orcid.org/0000-0002-4076-1811"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Hu","raw_affiliation_strings":["College of Electronic and Information Engineering, Nanjing university of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Nanjing university of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9987000226974487,"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":0.9987000226974487,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9742000102996826,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9710999727249146,"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/computer-science","display_name":"Computer science","score":0.7432774305343628},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.706558108329773},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.6985546350479126},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6580720543861389},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5781295299530029},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5401360988616943},{"id":"https://openalex.org/keywords/extremely-high-frequency","display_name":"Extremely high frequency","score":0.5352322459220886},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5001490116119385},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47529566287994385},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.43737733364105225},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.43726444244384766},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3901994228363037},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15666654706001282},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1363205909729004}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7432774305343628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.706558108329773},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.6985546350479126},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6580720543861389},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5781295299530029},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5401360988616943},{"id":"https://openalex.org/C45764600","wikidata":"https://www.wikidata.org/wiki/Q570342","display_name":"Extremely high frequency","level":2,"score":0.5352322459220886},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5001490116119385},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47529566287994385},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.43737733364105225},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.43726444244384766},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3901994228363037},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15666654706001282},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1363205909729004},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspcc52875.2021.9564487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc52875.2021.9564487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1539811621","https://openalex.org/W2047022092","https://openalex.org/W2078409967","https://openalex.org/W2157770256","https://openalex.org/W2242223225","https://openalex.org/W2288900513","https://openalex.org/W2316564986","https://openalex.org/W2522485430","https://openalex.org/W2550476060","https://openalex.org/W2552002155","https://openalex.org/W2565639579","https://openalex.org/W2594230123","https://openalex.org/W2793655483","https://openalex.org/W2891278391","https://openalex.org/W2893047521","https://openalex.org/W2898945353","https://openalex.org/W2984834466","https://openalex.org/W2996777754","https://openalex.org/W3154732924","https://openalex.org/W6771990228","https://openalex.org/W6793458478"],"related_works":["https://openalex.org/W2530685530","https://openalex.org/W4375868962","https://openalex.org/W2011227383","https://openalex.org/W2088854863","https://openalex.org/W1976719989","https://openalex.org/W2942893872","https://openalex.org/W2065606036","https://openalex.org/W3179495260","https://openalex.org/W3127543252","https://openalex.org/W2589961920"],"abstract_inverted_index":{"In":[0],"this":[1],"research,":[2],"we":[3,63,100],"propose":[4],"a":[5,91],"human":[6,54,103,125,163],"motion":[7,104,164],"recognition":[8,105,165],"method":[9,30,117],"based":[10,31,166],"on":[11,32,167],"multi-feature":[12],"fusion":[13],"of":[14,43,52,73,87,121,124,129,141,174],"millimeter":[15],"Wave(mmWave)":[16],"radar,":[17,60],"which":[18,89,150],"is":[19,34,46,56,90],"implemented":[20],"by":[21,58],"CentralNet.":[22,107],"Aiming":[23],"at":[24],"solving":[25],"the":[26,29,41,77,85,115],"problems":[27],"that":[28,114],"camera":[33,159],"susceptible":[35],"to":[36,95,152,158],"light":[37],"and":[38,40,61,67,79,133,160,177],"weather,":[39],"flexibility":[42],"wearable":[44,161],"devices":[45],"poor.":[47],"Methods:":[48],"Firstly,":[49],"Radar":[50],"data":[51,111],"moving":[53],"body":[55],"collected":[57],"millimeter-wave":[59],"then":[62],"obtain":[64],"Micro-Doppler":[65],"Spectrogram(MDS)":[66],"Candence-Velocity":[68],"Diagram(CVD)":[69],"through":[70,106],"time-frequency":[71,139],"analysis":[72],"received":[74],"signal.":[75,142],"Next,":[76],"MDS":[78,132],"CVD":[80,134],"were":[81],"respectively":[82],"put":[83],"into":[84],"subnetwork":[86],"CentralNet":[88,144],"neural":[92],"network":[93],"designed":[94],"achieve":[96,119],"feature":[97],"fusion.":[98],"Finally,":[99],"can":[101,145],"implement":[102],"Result:":[108],"The":[109],"test":[110],"set":[112],"verified":[113],"proposed":[116],"could":[118],"classification":[120,154],"five":[122],"kinds":[123],"motions":[126],"with":[127],"accuracy":[128],"98.96%.":[130],"Conclusion:":[131],"are":[135],"suited":[136],"for":[137],"extracting":[138],"features":[140],"And":[143],"effectively":[146],"fuse":[147],"multiple":[148],"features,":[149],"leads":[151],"well":[153],"performance.":[155],"Significance:":[156],"Compared":[157],"devices,":[162],"radar":[168],"has":[169],"shown":[170],"advantages":[171],"in":[172],"terms":[173],"accuracy,":[175],"privacy,":[176],"robustness.":[178]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}