{"id":"https://openalex.org/W4390075115","doi":"https://doi.org/10.1109/tgrs.2023.3345829","title":"Fine-Grained Spatial\u2013Temporal Gait Recognition Network Based on Millimeter-Wave Radar Point Cloud","display_name":"Fine-Grained Spatial\u2013Temporal Gait Recognition Network Based on Millimeter-Wave Radar Point Cloud","publication_year":2023,"publication_date":"2023-12-21","ids":{"openalex":"https://openalex.org/W4390075115","doi":"https://doi.org/10.1109/tgrs.2023.3345829"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3345829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3345829","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5000336969","display_name":"Shikun Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shikun Xue","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100716826","display_name":"Lan Du","orcid":"https://orcid.org/0000-0002-4503-0022"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lan Du","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-4503-0022","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035630827","display_name":"Yu Shi","orcid":"https://orcid.org/0000-0002-5081-231X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Shi","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-5081-231X","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100463037","display_name":"Xiaoyang Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyang Chen","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100590102","display_name":"Meng Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Xie","raw_affiliation_strings":["National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.972,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.72760709,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9998999834060669,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9998999834060669,"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":0.996999979019165,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.7931987047195435},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7790212631225586},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6441492438316345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6288666725158691},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6227544546127319},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5456060767173767},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4912845492362976},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.45213785767555237},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4116535782814026},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4116487205028534},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4008964002132416},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17380017042160034},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12418204545974731}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7931987047195435},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7790212631225586},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6441492438316345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6288666725158691},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6227544546127319},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5456060767173767},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4912845492362976},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.45213785767555237},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4116535782814026},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4116487205028534},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4008964002132416},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17380017042160034},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12418204545974731},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3345829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3345829","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3888048027","display_name":null,"funder_award_id":"YJSJ23016","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4987181584","display_name":null,"funder_award_id":"U21B2039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W595851582","https://openalex.org/W2100799972","https://openalex.org/W2104335344","https://openalex.org/W2144499799","https://openalex.org/W2151373013","https://openalex.org/W2151458682","https://openalex.org/W2152115238","https://openalex.org/W2157770256","https://openalex.org/W2392605069","https://openalex.org/W2517331439","https://openalex.org/W2560609797","https://openalex.org/W2592680288","https://openalex.org/W2598634450","https://openalex.org/W2605655455","https://openalex.org/W2623104697","https://openalex.org/W2730947821","https://openalex.org/W2763150006","https://openalex.org/W2788751553","https://openalex.org/W2790336835","https://openalex.org/W2793655483","https://openalex.org/W2798205579","https://openalex.org/W2944320448","https://openalex.org/W2949860773","https://openalex.org/W2963301258","https://openalex.org/W2963509914","https://openalex.org/W2965924798","https://openalex.org/W2971379009","https://openalex.org/W2979750740","https://openalex.org/W2990503944","https://openalex.org/W2997616834","https://openalex.org/W3009059746","https://openalex.org/W3035400973","https://openalex.org/W3085158417","https://openalex.org/W3114558802","https://openalex.org/W3159497806","https://openalex.org/W3202075110","https://openalex.org/W4214521144","https://openalex.org/W4220926521","https://openalex.org/W4224925153","https://openalex.org/W4225716276","https://openalex.org/W4285328145","https://openalex.org/W4288049693","https://openalex.org/W4321021816","https://openalex.org/W4372266016","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W3108295644","https://openalex.org/W1578717197","https://openalex.org/W2386960251","https://openalex.org/W4313855562","https://openalex.org/W2053819089","https://openalex.org/W2091422131"],"abstract_inverted_index":{"Radar-based":[0],"gait":[1,52,117,165,247],"recognition":[2,248],"has":[3,159],"gained":[4],"wide":[5],"attention":[6],"recently":[7],"for":[8],"its":[9,160],"ability":[10,98],"to":[11,16,86,113,139,176,201],"preserve":[12],"privacy":[13],"and":[14,18,56,68,145,232],"adapt":[15],"low-light":[17],"poor-weather":[19],"scenarios.":[20],"Among":[21],"different":[22],"forms":[23],"of":[24,48,99,207,215],"input":[25],"data,":[26],"a":[27,110,120,133,170,192],"radar":[28,79,101,123,150,179],"point":[29,80,102,124,151,180],"cloud":[30,181],"is":[31,199],"an":[32],"appealing":[33],"option":[34],"as":[35],"it":[36],"captures":[37],"not":[38],"only":[39],"the":[40,45,49,73,94,100,141,149,164,178,204,213,216],"appearance":[41,55],"signatures":[42,47,60],"but":[43],"also":[44,168],"motion":[46,57],"subject.":[50],"For":[51,126,187],"recognition,":[53],"both":[54],"are":[58,83],"crucial":[59],"that":[61,238],"can":[62],"be":[63],"represented":[64],"by":[65,77],"spatial":[66,128,184],"features":[67,75,118],"temporal":[69,189,194,205],"features,":[70],"respectively.":[71],"However,":[72],"spatial\u2013temporal":[74,95,116],"extracted":[76],"existing":[78,245],"cloud-based":[81,103],"methods":[82],"coarse-grained,":[84],"leading":[85],"poor":[87],"performance":[88],"in":[89,105,163,226],"realistic":[90,228],"applications.":[91],"To":[92,211],"enhance":[93],"feature":[96,129,135,190,195],"representation":[97],"method,":[104],"this":[106],"article,":[107],"we":[108,131,167,219],"design":[109],"novel":[111],"network":[112],"extract":[114],"fine-grained":[115,127,183,188],"from":[119],"millimeter-wave":[121],"(mmWave)":[122],"cloud.":[125,152],"extraction,":[130,191],"apply":[132],"dual-stream":[134],"extraction":[136,196],"(DSFE)":[137],"module":[138,175,198],"exploit":[140],"3-D":[142],"coordinates,":[143],"intensity,":[144],"velocity":[146],"information":[147],"within":[148],"After":[153],"that,":[154],"since":[155],"each":[156,208],"body":[157,185,209],"part":[158],"unique":[161],"characteristics":[162],"task,":[166],"propose":[169],"probability-guided":[171],"body-part":[172],"partition":[173],"(PGBP)":[174],"split":[177],"into":[182],"parts.":[186],"local\u2013global":[193],"(LGTE)":[197],"used":[200],"further":[202],"capture":[203],"patterns":[206],"part.":[210],"evaluate":[212],"effectiveness":[214],"proposed":[217],"methods,":[218],"conduct":[220],"extensive":[221],"experiments":[222],"with":[223],"90":[224],"subjects":[225],"various":[227],"settings,":[229],"i.e.,":[230],"cross-view":[231],"cross-wearing":[233],"conditions.":[234],"The":[235],"results":[236],"demonstrate":[237],"our":[239],"model":[240],"achieves":[241],"significant":[242],"improvement":[243],"over":[244],"radar-based":[246],"methods.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}