{"id":"https://openalex.org/W4414054168","doi":"https://doi.org/10.1109/tmc.2025.3607413","title":"Through-Wall Cross-Domain User Identification via Lip Movement Micro-Doppler and MIMO Radar: An Unsupervised Domain Adaptation Approach","display_name":"Through-Wall Cross-Domain User Identification via Lip Movement Micro-Doppler and MIMO Radar: An Unsupervised Domain Adaptation Approach","publication_year":2025,"publication_date":"2025-09-08","ids":{"openalex":"https://openalex.org/W4414054168","doi":"https://doi.org/10.1109/tmc.2025.3607413"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2025.3607413","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3607413","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","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/A5101946404","display_name":"Kai Yang","orcid":"https://orcid.org/0000-0001-8550-431X"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kai Yang","raw_affiliation_strings":["College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-8550-431X","affiliations":[{"raw_affiliation_string":"College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102006466","display_name":"Dongsheng Zhu","orcid":"https://orcid.org/0009-0000-4033-8194"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongsheng Zhu","raw_affiliation_strings":["College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0000-4033-8194","affiliations":[{"raw_affiliation_string":"College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111281913","display_name":"Yujie Xu","orcid":"https://orcid.org/0009-0002-4890-2030"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Xu","raw_affiliation_strings":["College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chong Han","orcid":"https://orcid.org/0000-0002-2657-1464"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chong Han","raw_affiliation_strings":["College of Computer, Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing University of Posts and Telecommunications, Nanjing, China","College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-2657-1464","affiliations":[{"raw_affiliation_string":"College of Computer, Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jian Guo","orcid":"https://orcid.org/0000-0001-5944-3103"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Guo","raw_affiliation_strings":["College of Computer, Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing University of Posts and Telecommunications, Nanjing, China","College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-5944-3103","affiliations":[{"raw_affiliation_string":"College of Computer, Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":null,"display_name":"Lijuan Sun","orcid":"https://orcid.org/0000-0002-5445-2905"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijuan Sun","raw_affiliation_strings":["College of Computer, Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing University of Posts and Telecommunications, Nanjing, China","College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5445-2905","affiliations":[{"raw_affiliation_string":"College of Computer, Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101946404"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27696718,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":"2","first_page":"2577","last_page":"2593"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9749000072479248,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9463000297546387,"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/robustness","display_name":"Robustness (evolution)","score":0.5947999954223633},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5128999948501587},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.4846999943256378},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47189998626708984},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.391400009393692},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3767000138759613},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3522000014781952},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.3513000011444092}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8546000123023987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6100000143051147},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5947999954223633},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5128999948501587},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.4846999943256378},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4790000021457672},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47189998626708984},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.391400009393692},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3767000138759613},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3522000014781952},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.3513000011444092},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.3395000100135803},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.33649998903274536},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.33230000734329224},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.3264000117778778},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.3165000081062317},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.301800012588501},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2727999985218048},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.2678000032901764},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.26030001044273376},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.25619998574256897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2025.3607413","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3607413","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8540228092","display_name":null,"funder_award_id":"62272242","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1731081199","https://openalex.org/W1933394421","https://openalex.org/W2153594606","https://openalex.org/W2194775991","https://openalex.org/W2584329820","https://openalex.org/W2593768305","https://openalex.org/W2756073160","https://openalex.org/W2895281799","https://openalex.org/W2962687275","https://openalex.org/W2964288524","https://openalex.org/W2993240882","https://openalex.org/W3085051942","https://openalex.org/W3109093849","https://openalex.org/W3170700905","https://openalex.org/W3173994264","https://openalex.org/W3184627963","https://openalex.org/W3204177023","https://openalex.org/W3216606786","https://openalex.org/W4220880371","https://openalex.org/W4226037320","https://openalex.org/W4285795303","https://openalex.org/W4294991805","https://openalex.org/W4296437776","https://openalex.org/W4364302307","https://openalex.org/W4382119206","https://openalex.org/W4382239371","https://openalex.org/W4385329447","https://openalex.org/W4385787394","https://openalex.org/W4385819626","https://openalex.org/W4386047746","https://openalex.org/W4386212336","https://openalex.org/W4386320406","https://openalex.org/W4386494619","https://openalex.org/W4390492666","https://openalex.org/W4390667603","https://openalex.org/W4391165379","https://openalex.org/W4391696991","https://openalex.org/W4391744194","https://openalex.org/W4392251931","https://openalex.org/W4392472696","https://openalex.org/W4393147816","https://openalex.org/W4394625200","https://openalex.org/W4395666092","https://openalex.org/W4397031890","https://openalex.org/W4399039406","https://openalex.org/W4399743769","https://openalex.org/W4399932672","https://openalex.org/W4400579101","https://openalex.org/W4401326499","https://openalex.org/W4402661155","https://openalex.org/W4402754058","https://openalex.org/W4402816908","https://openalex.org/W4404037387","https://openalex.org/W4404469581","https://openalex.org/W4405868835","https://openalex.org/W4406415281","https://openalex.org/W4407462655","https://openalex.org/W4408735575"],"related_works":["https://openalex.org/W1978025251","https://openalex.org/W2361241744","https://openalex.org/W2086314607","https://openalex.org/W2235285389","https://openalex.org/W4252012301","https://openalex.org/W2581209175","https://openalex.org/W2532305960","https://openalex.org/W2900664875","https://openalex.org/W2022955050","https://openalex.org/W2944876982"],"abstract_inverted_index":{"Lip":[0],"movement-based":[1,85],"user":[2,87,240],"identification":[3,88],"holds":[4],"significant":[5],"promise":[6],"for":[7,29],"public":[8],"security":[9],"and":[10,20,40,50,70,131,155,182,203,231,236],"intelligent":[11],"surveillance":[12],"due":[13],"to":[14,42,52,177,192,214],"its":[15,46],"dynamic":[16],"patterns,":[17],"forgery":[18],"resistance,":[19],"individual":[21],"distinctiveness.":[22],"Recently,":[23],"millimeter-wave":[24],"radar":[25],"has":[26],"been":[27],"employed":[28],"contactless":[30],"identification,":[31],"offering":[32],"advantages":[33],"such":[34],"as":[35],"light":[36],"insensitivity,":[37],"privacy":[38],"preservation,":[39],"sensitivity":[41],"fine":[43],"motion.":[44],"However,":[45],"limited":[47],"wall":[48],"penetration":[49],"vulnerability":[51],"occlusion":[53],"present":[54],"ongoing":[55],"challenges.":[56],"Moreover,":[57],"existing":[58],"recognition":[59],"approaches":[60],"rely":[61],"heavily":[62],"on":[63,128],"supervised":[64],"learning,":[65,151],"demanding":[66],"large":[67],"labeled":[68,129],"datasets":[69],"exhibiting":[71],"poor":[72],"generalization":[73,235],"across":[74],"domains.":[75],"To":[76,125],"overcome":[77],"these":[78,209],"limitations,":[79],"we":[80,135],"propose":[81],"Lip-TWCDID,":[82],"a":[83,120,137,174],"lip":[84,117],"cross-domain":[86],"system":[89],"using":[90],"1\u20132":[91],"GHz":[92],"MIMO":[93,104],"radar.":[94],"The":[95],"use":[96],"of":[97,112,116,238],"low-frequency":[98],"signals":[99],"enhances":[100],"penetration,":[101],"while":[102,218],"the":[103,197,234],"architecture":[105],"improves":[106,233],"spatial":[107],"resolution,":[108],"enabling":[109],"stable":[110],"detection":[111],"fine-grained":[113],"micro-Doppler":[114],"signatures":[115],"movements":[118],"through":[119],"22":[121],"cm":[122],"brick":[123],"wall.":[124],"reduce":[126],"dependence":[127],"data":[130],"improve":[132],"domain":[133,140,152,170,175],"generalization,":[134],"introduce":[136],"novel":[138],"unsupervised":[139],"adaptation":[141],"(UDA)":[142],"framework,":[143],"consistency-adversarial-contrastive":[144],"learning":[145,181,188,195],"(CACL),":[146],"which":[147],"integrates":[148],"pseudo-label":[149,160],"consistency":[150,161,164],"adversarial":[153,171],"training,":[154],"pseudo-supervised":[156],"contrastive":[157,187,194],"learning.":[158],"Specifically,":[159],"enforces":[162],"prediction":[163],"under":[165],"input":[166],"perturbations,":[167],"improving":[168],"robustness;":[169],"training":[172],"introduces":[173],"discriminator":[176],"encourage":[178],"domaininvariant":[179],"feature":[180,184,198],"align":[183],"distributions;":[185],"pseudosupervised":[186],"leverages":[189],"high-confidence":[190],"pseudolabels":[191],"perform":[193],"in":[196],"space,":[199],"enhancing":[200],"inter-class":[201],"separability":[202],"intra-class":[204],"compactness.":[205],"By":[206],"jointly":[207],"optimizing":[208],"components,":[210],"CACL":[211,226],"effectively":[212],"adapts":[213],"unlabeled":[215],"target":[216],"domains":[217],"minimizing":[219],"annotation":[220],"costs.":[221],"Extensive":[222],"experiments":[223],"demonstrate":[224],"that":[225],"outperforms":[227],"state-of-the-art":[228],"UDA":[229],"methods":[230],"significantly":[232],"robustness":[237],"through-wall":[239],"identification.":[241]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
