{"id":"https://openalex.org/W4220880371","doi":"https://doi.org/10.1109/tcsvt.2022.3161515","title":"Unsupervised Domain Adaptation for Disguised-Gait-Based Person Identification on Micro-Doppler Signatures","display_name":"Unsupervised Domain Adaptation for Disguised-Gait-Based Person Identification on Micro-Doppler Signatures","publication_year":2022,"publication_date":"2022-03-22","ids":{"openalex":"https://openalex.org/W4220880371","doi":"https://doi.org/10.1109/tcsvt.2022.3161515"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2022.3161515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3161515","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video 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/A5100397518","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-1364-8653"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-1364-8653","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100748473","display_name":"Xiaoyi Yang","orcid":"https://orcid.org/0000-0002-9345-8357"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyi Yang","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-9345-8357","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087021066","display_name":"Takuya Sakamoto","orcid":"https://orcid.org/0000-0003-0177-879X"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuya Sakamoto","raw_affiliation_strings":["Graduate School of Engineering, Kyoto University, Kyoto, Japan"],"raw_orcid":"https://orcid.org/0000-0003-0177-879X","affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007936497","display_name":"Francesco Fioranelli","orcid":"https://orcid.org/0000-0001-8254-8093"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Francesco Fioranelli","raw_affiliation_strings":["Department of Microelectronics, Delft University of Technology, Delft, CD, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-8254-8093","affiliations":[{"raw_affiliation_string":"Department of Microelectronics, Delft University of Technology, Delft, CD, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101406419","display_name":"Beichen Li","orcid":"https://orcid.org/0000-0002-0158-9713"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Beichen Li","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-0158-9713","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034901041","display_name":"Yue Lang","orcid":"https://orcid.org/0000-0002-8160-2999"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Lang","raw_affiliation_strings":["School of Electronic and Information Engineering, Hebei University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-8160-2999","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2067,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.87140445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"32","issue":"9","first_page":"6448","last_page":"6460"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9959999918937683,"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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9587000012397766,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8258367776870728},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7427093982696533},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6984065771102905},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.6354939937591553},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6257456541061401},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6132932901382446},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.511342465877533},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4862898290157318},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4533414840698242},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.43729639053344727},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4369159936904907},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4183195233345032},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3804914355278015},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3457575738430023},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12254029512405396}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8258367776870728},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7427093982696533},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6984065771102905},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.6354939937591553},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6257456541061401},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6132932901382446},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.511342465877533},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4862898290157318},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4533414840698242},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.43729639053344727},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4369159936904907},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4183195233345032},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3804914355278015},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3457575738430023},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12254029512405396},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcsvt.2022.3161515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3161515","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"},{"id":"pmh:oai:tudelft.nl:uuid:d38e9937-e7f4-4bb4-b13c-06be1ec042b2","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:d38e9937-e7f4-4bb4-b13c-06be1ec042b2","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"journal article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G2096606199","display_name":null,"funder_award_id":"19H02155","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G2481038826","display_name":null,"funder_award_id":"62101378","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3269856409","display_name":null,"funder_award_id":"JPMJPR1873","funder_id":"https://openalex.org/F4320338111","funder_display_name":"Precursory Research for Embryonic Science and Technology"},{"id":"https://openalex.org/G4399196074","display_name":null,"funder_award_id":"JPMJCE1307","funder_id":"https://openalex.org/F4320338121","funder_display_name":"Center of Innovation Program"},{"id":"https://openalex.org/G4682229066","display_name":null,"funder_award_id":"21H03427","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G5971526899","display_name":null,"funder_award_id":"62171318","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/F4320322525","display_name":"Secom Science and Technology Foundation","ror":"https://ror.org/05ggzej07"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320338111","display_name":"Precursory Research for Embryonic Science and Technology","ror":null},{"id":"https://openalex.org/F4320338121","display_name":"Center of Innovation Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W1516308996","https://openalex.org/W1731081199","https://openalex.org/W1882958252","https://openalex.org/W1996118086","https://openalex.org/W2001619934","https://openalex.org/W2087258353","https://openalex.org/W2089468765","https://openalex.org/W2108598243","https://openalex.org/W2113408265","https://openalex.org/W2127218421","https://openalex.org/W2144935315","https://openalex.org/W2149466042","https://openalex.org/W2153594606","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2261310161","https://openalex.org/W2502226073","https://openalex.org/W2577021971","https://openalex.org/W2608862709","https://openalex.org/W2756073160","https://openalex.org/W2768097826","https://openalex.org/W2770645414","https://openalex.org/W2774053170","https://openalex.org/W2793655483","https://openalex.org/W2798205579","https://openalex.org/W2900466196","https://openalex.org/W2917711523","https://openalex.org/W2949514570","https://openalex.org/W2950365520","https://openalex.org/W2951082895","https://openalex.org/W2955694124","https://openalex.org/W2964074409","https://openalex.org/W2964260849","https://openalex.org/W2964288524","https://openalex.org/W2969128506","https://openalex.org/W2969893028","https://openalex.org/W2982204955","https://openalex.org/W2988700451","https://openalex.org/W2992062578","https://openalex.org/W2998115938","https://openalex.org/W3021632667","https://openalex.org/W3034591020","https://openalex.org/W3035519852","https://openalex.org/W3035576098","https://openalex.org/W3101507902","https://openalex.org/W3104772982","https://openalex.org/W3104992468","https://openalex.org/W3135384301","https://openalex.org/W3154651967","https://openalex.org/W3160639636","https://openalex.org/W3173994264","https://openalex.org/W3174505228","https://openalex.org/W3175370657","https://openalex.org/W3176602994","https://openalex.org/W3183605589","https://openalex.org/W3200653731","https://openalex.org/W3203042427","https://openalex.org/W3203507579","https://openalex.org/W3208743129","https://openalex.org/W3210967702","https://openalex.org/W4295312788","https://openalex.org/W6639480849","https://openalex.org/W6678914141","https://openalex.org/W6680962578","https://openalex.org/W6685380521","https://openalex.org/W6692729736","https://openalex.org/W6731853769","https://openalex.org/W6734376636","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2110523656","https://openalex.org/W3185413894","https://openalex.org/W1905194803","https://openalex.org/W2137411393"],"abstract_inverted_index":{"In":[0,58],"recent":[1],"years,":[2],"gait-based":[3],"person":[4],"identification":[5],"has":[6,223],"gained":[7],"significant":[8],"interest":[9],"for":[10,132,180,229],"a":[11,34,129,152,175,224],"variety":[12],"of":[13,30,128,160,227],"applications,":[14],"including":[15],"security":[16,20],"systems":[17],"and":[18,122,210],"public":[19],"forensics.":[21],"Meanwhile,":[22],"this":[23,59,146],"task":[24],"is":[25,42],"faced":[26],"with":[27,166],"the":[28,52,76,93,126,136,158,181,188,194,215,220],"challenge":[29,209],"disguised":[31,87,123,189],"gaits.":[32,124,196],"When":[33],"human":[35,82],"subject":[36],"changes":[37],"what":[38],"he":[39],"or":[40,44],"she":[41],"wearing":[43],"carrying,":[45],"it":[46],"becomes":[47],"challenging":[48],"to":[49,80,108,202],"reliably":[50],"identify":[51],"subject\u2019s":[53],"identity":[54],"using":[55],"gait":[56,88,97,212],"data.":[57],"paper,":[60],"we":[61,102,116,198],"propose":[62],"an":[63,110],"unsupervised":[64],"domain":[65,177,206],"adaptation":[66,178,207],"(UDA)":[67],"model,":[68],"named":[69],"<italic":[70],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[71],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Guided":[72],"Subspace":[73],"Alignment":[74],"under":[75],"Class-aware</i>":[77],"condition":[78],"(G-SAC),":[79],"recognize":[81],"subjects":[83],"based":[84],"on":[85,151],"their":[86],"data":[89],"by":[90,145],"fully":[91],"exploiting":[92],"intrinsic":[94,111],"information":[95],"in":[96,185],"biometrics.":[98],"To":[99],"accomplish":[100],"this,":[101],"employ":[103],"neighbourhood":[104],"component":[105],"analysis":[106],"(NCA)":[107],"create":[109],"feature":[112,139],"subspace":[113],"from":[114,193],"which":[115],"can":[117,141],"obtain":[118],"similarities":[119],"between":[120],"normal":[121,195],"With":[125],"aid":[127],"proposed":[130,221],"constraint":[131],"adaptive":[133],"class-aware":[134],"alignment,":[135],"class-level":[137],"discriminative":[138],"representation":[140],"be":[142],"learned":[143],"guided":[144],"subspace.":[147],"Our":[148],"experimental":[149],"results":[150,165,217],"measured":[153],"micro-Doppler":[154],"radar":[155],"dataset":[156],"demonstrate":[157,218],"effectiveness":[159],"our":[161,172,200],"approach.":[162],"The":[163],"comparison":[164],"several":[167],"state-of-the-art":[168],"methods":[169],"indicate":[170],"that":[171,219],"work":[173],"provides":[174],"promising":[176],"solution":[179],"concerned":[182],"problem,":[183],"even":[184],"cases":[186],"where":[187],"pattern":[190],"differs":[191],"significantly":[192],"Additionally,":[197],"extend":[199],"approach":[201],"more":[203],"complex":[204],"multi-target":[205],"(MTDA)":[208],"video-based":[211],"recognition":[213],"tasks,":[214],"superior":[216],"model":[222],"great":[225],"deal":[226],"potential":[228],"tackling":[230],"increasingly":[231],"difficult":[232],"problems.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
