{"id":"https://openalex.org/W4413371432","doi":"https://doi.org/10.1109/jiot.2025.3601012","title":"GF-DecNet: Geometry-Aware Feature Decoupling Network for Millimeter-Wave Radar Pose Estimation","display_name":"GF-DecNet: Geometry-Aware Feature Decoupling Network for Millimeter-Wave Radar Pose Estimation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413371432","doi":"https://doi.org/10.1109/jiot.2025.3601012"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3601012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3601012","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5068930027","display_name":"Hongchen Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongchen Tang","raw_affiliation_strings":["School of Computer and Information, Anhui Normal University, WuHu, China"],"raw_orcid":"https://orcid.org/0009-0007-1848-9106","affiliations":[{"raw_affiliation_string":"School of Computer and Information, Anhui Normal University, WuHu, China","institution_ids":["https://openalex.org/I4472751"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060285669","display_name":"Wanyun Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanyun Chen","raw_affiliation_strings":["School of Mining Engineering, Anhui University of Science and Technology, Huainan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mining Engineering, Anhui University of Science and Technology, Huainan, China","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yihui Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihui Yan","raw_affiliation_strings":["School of Computer and Information, Anhui Normal University, WuHu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Anhui Normal University, WuHu, China","institution_ids":["https://openalex.org/I4472751"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103839397","display_name":"Yajing Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yajing Tang","raw_affiliation_strings":["School of Computer and Information, Anhui Normal University, WuHu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Anhui Normal University, WuHu, China","institution_ids":["https://openalex.org/I4472751"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109764720","display_name":"Yueyue Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueyue Yang","raw_affiliation_strings":["School of Computer and Information, Anhui Normal University, WuHu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Anhui Normal University, WuHu, China","institution_ids":["https://openalex.org/I4472751"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101192254","display_name":"Yuchen Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchen Feng","raw_affiliation_strings":["School of Computer and Information, Anhui Normal University, WuHu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Anhui Normal University, WuHu, China","institution_ids":["https://openalex.org/I4472751"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007418094","display_name":"Ximing Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ximing Jiang","raw_affiliation_strings":["School of Computer and Information, Anhui Normal University, WuHu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Anhui Normal University, WuHu, China","institution_ids":["https://openalex.org/I4472751"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031497022","display_name":"Jun Lu","orcid":"https://orcid.org/0000-0002-2853-427X"},"institutions":[{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Lu","raw_affiliation_strings":["School of Computer and Information, Anhui Normal University, WuHu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Anhui Normal University, WuHu, China","institution_ids":["https://openalex.org/I4472751"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103188198","display_name":"Yong Xu","orcid":"https://orcid.org/0009-0006-1821-1094"},"institutions":[{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xu","raw_affiliation_strings":["School of Computer and Information, Anhui Normal University, WuHu, China"],"raw_orcid":"https://orcid.org/0009-0006-1821-1094","affiliations":[{"raw_affiliation_string":"School of Computer and Information, Anhui Normal University, WuHu, China","institution_ids":["https://openalex.org/I4472751"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101753566","display_name":"Qun Fang","orcid":"https://orcid.org/0000-0002-8695-5638"},"institutions":[{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun Fang","raw_affiliation_strings":["School of Computer and Information, Anhui Normal University, WuHu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Anhui Normal University, WuHu, China","institution_ids":["https://openalex.org/I4472751"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0021,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77585183,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9884999990463257,"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"}},"topics":[{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9884999990463257,"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"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.921999990940094,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.6848766803741455},{"id":"https://openalex.org/keywords/extremely-high-frequency","display_name":"Extremely high frequency","score":0.6505136489868164},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.5454994440078735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4885052442550659},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4648859202861786},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4337875247001648},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39166927337646484},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.36279040575027466},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23251602053642273},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15956637263298035}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6848766803741455},{"id":"https://openalex.org/C45764600","wikidata":"https://www.wikidata.org/wiki/Q570342","display_name":"Extremely high frequency","level":2,"score":0.6505136489868164},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.5454994440078735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4885052442550659},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4648859202861786},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4337875247001648},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39166927337646484},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.36279040575027466},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23251602053642273},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15956637263298035},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3601012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3601012","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.5}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1988918158","https://openalex.org/W2531174837","https://openalex.org/W2536305597","https://openalex.org/W2560609797","https://openalex.org/W2799062425","https://openalex.org/W2889379455","https://openalex.org/W2900908188","https://openalex.org/W2941074488","https://openalex.org/W2973534606","https://openalex.org/W2990165697","https://openalex.org/W2990640172","https://openalex.org/W3034681945","https://openalex.org/W3175987492","https://openalex.org/W4295682580","https://openalex.org/W4315473885","https://openalex.org/W4319299976","https://openalex.org/W4366967172","https://openalex.org/W4385062289","https://openalex.org/W4386469848","https://openalex.org/W4387087396","https://openalex.org/W4390871637","https://openalex.org/W4399525909","https://openalex.org/W4401051167","https://openalex.org/W4404167948","https://openalex.org/W4409217717","https://openalex.org/W4410274499"],"related_works":["https://openalex.org/W4313561376","https://openalex.org/W3103825105","https://openalex.org/W3027880158","https://openalex.org/W3207533102","https://openalex.org/W1617565119","https://openalex.org/W160381218","https://openalex.org/W2512958550","https://openalex.org/W2004102934","https://openalex.org/W4366455350","https://openalex.org/W2369026988"],"abstract_inverted_index":{"Millimeter-wave":[0],"(mmWave)":[1],"radar":[2,27],"is":[3],"an":[4,49],"effective":[5,77],"sensor":[6],"for":[7,36,76,94],"human":[8,136,163],"pose":[9,38,96,137,226],"estimation,":[10],"particularly":[11],"in":[12,154,193,220],"challenging":[13],"environments":[14],"where":[15],"vision-based":[16],"systems":[17],"may":[18],"struggle.":[19],"However,":[20],"the":[21,43,113,204,221],"sparse,":[22],"noisy":[23,120],"nature":[24],"of":[25,135,206,210,223],"mmWave":[26,224],"point":[28],"clouds,":[29],"along":[30],"with":[31,70,143,162],"multipath":[32],"effects,":[33],"presents":[34],"difficulties":[35],"precise":[37],"reconstruction.":[39],"This":[40,81],"paper":[41],"introduces":[42],"Geometry-aware":[44,71],"Feature":[45,72],"Decoupling":[46,73],"Network":[47],"(GF-DecNet),":[48],"approach":[50],"that":[51,138,184],"employs":[52],"a":[53,132,148,217],"dynamic":[54],"graph":[55],"convolutional":[56],"network":[57],"(DGCN)":[58],"framework":[59],"to":[60,103,116],"overcome":[61],"these":[62,128],"challenges.":[63],"GF-DecNet":[64,185,215],"combines":[65],"Set":[66],"Abstraction":[67],"(SA)":[68],"modules":[69],"(GFD)":[74],"blocks":[75,100],"multi-scale":[78,123],"feature":[79,124],"learning.":[80],"design":[82],"captures":[83],"both":[84],"local":[85,105],"geometric":[86,106,141,150],"details":[87,142],"and":[88,119,176,178],"global":[89],"context,":[90],"which":[91],"are":[92,101],"crucial":[93],"accurate":[95],"estimation.":[97,227],"The":[98],"GFD":[99],"designed":[102],"disentangle":[104],"features":[107],"from":[108],"higher-level":[109],"semantic":[110,145],"features,":[111,130],"enhancing":[112],"network\u2019s":[114],"ability":[115],"process":[117],"sparse":[118],"data.":[121],"A":[122],"aggregation":[125],"module":[126],"merges":[127],"learned":[129],"providing":[131],"comprehensive":[133],"representation":[134],"integrates":[139],"low-level":[140],"high-level":[144],"information.":[146],"Additionally,":[147],"learnable":[149],"constraint":[151],"mechanism,":[152],"grounded":[153],"biomechanical":[155],"models,":[156],"enhances":[157],"robustness":[158],"by":[159],"ensuring":[160],"consistency":[161],"body":[164],"proportions.":[165],"Extensive":[166],"experiments":[167],"on":[168],"four":[169],"established":[170],"public":[171],"datasets":[172],"(MiliPoint,":[173],"MM-Fi,":[174],"mRI,":[175],"mmBody)":[177],"our":[179],"curated":[180],"WavePose":[181],"dataset":[182],"demonstrate":[183],"consistently":[186],"achieves":[187],"competitive":[188],"performance,":[189],"achieving":[190],"significant":[191],"improvements":[192],"Mean":[194],"Per":[195],"Joint":[196],"Position":[197],"Error":[198],"(MPJPE).":[199],"Ablation":[200],"studies":[201],"further":[202],"validate":[203],"effectiveness":[205],"each":[207],"key":[208],"component":[209],"GF-DecNet,":[211],"These":[212],"findings":[213],"establish":[214],"as":[216],"strong":[218],"benchmark":[219],"field":[222],"radar-based":[225]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}