{"id":"https://openalex.org/W3203042427","doi":"https://doi.org/10.1109/tvt.2021.3115877","title":"Towards Cross-Environment Human Activity Recognition Based on Radar Without Source Data","display_name":"Towards Cross-Environment Human Activity Recognition Based on Radar Without Source Data","publication_year":2021,"publication_date":"2021-09-28","ids":{"openalex":"https://openalex.org/W3203042427","doi":"https://doi.org/10.1109/tvt.2021.3115877","mag":"3203042427"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2021.3115877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2021.3115877","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","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/A5020697579","display_name":"Zhongping Cao","orcid":"https://orcid.org/0000-0002-1286-9702"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhongping Cao","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067524546","display_name":"Zhenchang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenchang Li","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020198038","display_name":"Xuemei Guo","orcid":"https://orcid.org/0000-0001-5298-8063"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemei Guo","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100696241","display_name":"Guoli Wang","orcid":"https://orcid.org/0000-0003-4031-7996"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoli Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020697579"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":6.1199,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.95757945,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"70","issue":"11","first_page":"11843","last_page":"11854"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9927999973297119,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9921000003814697,"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":0.72670978307724},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6650055050849915},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6218995451927185},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5648853182792664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4919995963573456},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4909951984882355},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4829261004924774},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4495738744735718},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41948583722114563},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2053782343864441},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.10504984855651855},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10050055384635925}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.72670978307724},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6650055050849915},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6218995451927185},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5648853182792664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4919995963573456},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4909951984882355},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4829261004924774},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4495738744735718},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41948583722114563},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2053782343864441},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.10504984855651855},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10050055384635925},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2021.3115877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2021.3115877","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G1541800466","display_name":null,"funder_award_id":"61772574","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W1882958252","https://openalex.org/W2030171418","https://openalex.org/W2097482982","https://openalex.org/W2115403315","https://openalex.org/W2153594606","https://openalex.org/W2157770256","https://openalex.org/W2159291411","https://openalex.org/W2165698076","https://openalex.org/W2187089797","https://openalex.org/W2242223225","https://openalex.org/W2437887222","https://openalex.org/W2463627759","https://openalex.org/W2531297344","https://openalex.org/W2558891025","https://openalex.org/W2578577414","https://openalex.org/W2593814746","https://openalex.org/W2776159959","https://openalex.org/W2783794174","https://openalex.org/W2789436454","https://openalex.org/W2883074505","https://openalex.org/W2883725317","https://openalex.org/W2893047521","https://openalex.org/W2894043696","https://openalex.org/W2897132279","https://openalex.org/W2902914280","https://openalex.org/W2912876208","https://openalex.org/W2914258566","https://openalex.org/W2919916121","https://openalex.org/W2934625602","https://openalex.org/W2944605902","https://openalex.org/W2944876982","https://openalex.org/W2950365520","https://openalex.org/W2951670162","https://openalex.org/W2953842422","https://openalex.org/W2954060812","https://openalex.org/W2963217615","https://openalex.org/W2963826681","https://openalex.org/W2964288524","https://openalex.org/W2968584961","https://openalex.org/W2970971581","https://openalex.org/W3003860764","https://openalex.org/W3004205097","https://openalex.org/W3009116081","https://openalex.org/W3034526587","https://openalex.org/W3039882231","https://openalex.org/W3039883906","https://openalex.org/W3040695247","https://openalex.org/W3047422066","https://openalex.org/W3080186730","https://openalex.org/W3134238365","https://openalex.org/W3135259750","https://openalex.org/W3148092285","https://openalex.org/W3198430326","https://openalex.org/W4295312788","https://openalex.org/W6638667902","https://openalex.org/W6639480849","https://openalex.org/W6683633756","https://openalex.org/W6720111944","https://openalex.org/W6734335776","https://openalex.org/W6734376636","https://openalex.org/W6766978945","https://openalex.org/W6780188600","https://openalex.org/W6780353442","https://openalex.org/W7018611383"],"related_works":["https://openalex.org/W2997567050","https://openalex.org/W2804364458","https://openalex.org/W3201126466","https://openalex.org/W1533421371","https://openalex.org/W4298130764","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W1483272040","https://openalex.org/W4283377908","https://openalex.org/W2083665254"],"abstract_inverted_index":{"Radar-based":[0],"human":[1],"activity":[2],"recognition":[3],"(HAR)":[4],"finds":[5],"various":[6],"applications":[7],"like":[8],"assisted":[9],"living":[10],"and":[11,135,175],"driver":[12],"behavior":[13],"monitoring.":[14],"As":[15],"radar":[16,226],"data":[17,180],"are":[18,162],"heavily":[19],"environment-dependent,":[20],"it":[21,89,137],"is":[22,90,112,155,192],"becoming":[23],"increasingly":[24],"important":[25],"to":[26,55,67,75,94,114,144,164,181,194,204],"develop":[27,95],"a":[28,34,56,91,96,119,214],"transfer":[29,72],"learning":[30,73,117],"mechanism":[31,81],"that":[32,156],"enables":[33],"radar-based":[35,50,84],"HAR":[36,51,216],"system":[37,52],"with":[38,106,138],"desirable":[39],"cross-environment":[40,83],"adaptation":[41,80,179],"feasibility.":[42],"This":[43,128],"paper":[44,129],"concerns":[45],"the":[46,69,107,116,131,139,146,157,183,198,206,220,228],"issue":[47],"of":[48,118,169,172,178,188,208,230],"how":[49],"can":[53],"adapt":[54],"new":[57],"environment":[58,79,126],"without":[59],"source":[60,70],"data.":[61],"To":[62],"this":[63],"end,":[64],"we":[65],"devote":[66],"using":[68],"hypothesis":[71],"architecture":[74],"build":[76],"such":[77],"an":[78],"towards":[82],"HAR.":[85],"In":[86],"doing":[87],"this,":[88],"challenging":[92],"task":[93],"reliable":[97],"self-supervised":[98,147],"labeling":[99,133,142,148,160,184,190],"strategy":[100],"for":[101,125],"generating":[102],"pseudo":[103],"labels":[104],"associated":[105],"unlabeled":[108],"target":[109],"data,":[110],"which":[111,202],"crucial":[113],"facilitate":[115],"target-specific":[120],"feature":[121],"extractor":[122],"being":[123],"responsible":[124],"adaptation.":[127],"presents":[130],"neighbor-aggregating-based":[132],"method":[134,143],"incorporates":[136],"existing":[140],"clustering-based":[141],"perform":[145],"task.":[149,185],"The":[150,186],"logic":[151],"behind":[152],"our":[153,231],"approach":[154],"above":[158],"two":[159],"methods":[161,191],"complementary":[163],"each":[165],"other":[166],"in":[167,197],"terms":[168],"making":[170],"use":[171],"both":[173,189],"local":[174],"global":[176],"structures":[177],"supervise":[182],"coordination":[187],"motivated":[193],"be":[195],"implemented":[196],"weighted":[199],"combination":[200],"form,":[201],"contributes":[203],"improving":[205],"reliability":[207],"generated":[209],"labels.":[210],"Experimental":[211],"results":[212],"on":[213,219],"public":[215],"dataset":[217],"based":[218],"frequency":[221],"modulated":[222],"continuous":[223],"wave":[224],"(FMCW)":[225],"demonstrate":[227],"effectiveness":[229],"approach.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
