{"id":"https://openalex.org/W4285175808","doi":"https://doi.org/10.1109/tii.2022.3182780","title":"Multisource Weighted Domain Adaptation With Evidential Reasoning for Activity Recognition","display_name":"Multisource Weighted Domain Adaptation With Evidential Reasoning for Activity Recognition","publication_year":2022,"publication_date":"2022-06-14","ids":{"openalex":"https://openalex.org/W4285175808","doi":"https://doi.org/10.1109/tii.2022.3182780"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2022.3182780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3182780","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5091109490","display_name":"Yilin Dong","orcid":"https://orcid.org/0000-0002-4441-3355"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilin Dong","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China","Shanghai Maritime University (1550 Haigang Ave, Pudong Xinqu, Shanghai Shi, - China)"],"raw_orcid":"https://orcid.org/0000-0002-4441-3355","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]},{"raw_affiliation_string":"Shanghai Maritime University (1550 Haigang Ave, Pudong Xinqu, Shanghai Shi, - China)","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010863275","display_name":"Xinde Li","orcid":"https://orcid.org/0000-0002-1529-4537"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinde Li","raw_affiliation_strings":["Key Laboratory of Measurement and Control of CSE, School of Automation, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-1529-4537","affiliations":[{"raw_affiliation_string":"Key Laboratory of Measurement and Control of CSE, School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082354765","display_name":"Jean Dezert","orcid":"https://orcid.org/0000-0003-3474-9186"},"institutions":[{"id":"https://openalex.org/I2801658355","display_name":"Office National d'\u00c9tudes et de Recherches A\u00e9rospatiales","ror":"https://ror.org/005y2ap84","country_code":"FR","type":"facility","lineage":["https://openalex.org/I2801658355"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean Dezert","raw_affiliation_strings":["The French Aerospace Lab, ONERA, DTIS, Palaiseau, France"],"raw_orcid":"https://orcid.org/0000-0003-3474-9186","affiliations":[{"raw_affiliation_string":"The French Aerospace Lab, ONERA, DTIS, Palaiseau, France","institution_ids":["https://openalex.org/I2801658355"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031426337","display_name":"Ri\u2010Gui Zhou","orcid":"https://orcid.org/0000-0002-8894-8108"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rigui Zhou","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China","Shanghai Maritime University (1550 Haigang Ave, Pudong Xinqu, Shanghai Shi, - China)"],"raw_orcid":"https://orcid.org/0000-0002-8894-8108","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]},{"raw_affiliation_string":"Shanghai Maritime University (1550 Haigang Ave, Pudong Xinqu, Shanghai Shi, - China)","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083375980","display_name":"Changming Zhu","orcid":"https://orcid.org/0000-0001-8039-5601"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changming Zhu","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China","Shanghai Maritime University (1550 Haigang Ave, Pudong Xinqu, Shanghai Shi, - China)"],"raw_orcid":"https://orcid.org/0000-0001-8039-5601","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]},{"raw_affiliation_string":"Shanghai Maritime University (1550 Haigang Ave, Pudong Xinqu, Shanghai Shi, - China)","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000705243","display_name":"Lei Cao","orcid":"https://orcid.org/0000-0002-8427-4548"},"institutions":[{"id":"https://openalex.org/I4210103248","display_name":"Child Mind Institute","ror":"https://ror.org/01bfgxw09","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210103248"]},{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Lei Cao","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China","Child Mind Institute (101 East 56th Street, New York, NY 10022 - United States)"],"raw_orcid":"https://orcid.org/0000-0002-8427-4548","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]},{"raw_affiliation_string":"Child Mind Institute (101 East 56th Street, New York, NY 10022 - United States)","institution_ids":["https://openalex.org/I4210103248"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073582470","display_name":"Mohammad Omar Khyam","orcid":"https://orcid.org/0000-0002-1988-2328"},"institutions":[{"id":"https://openalex.org/I74899385","display_name":"Central Queensland University","ror":"https://ror.org/023q4bk22","country_code":"AU","type":"education","lineage":["https://openalex.org/I74899385"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mohammad Omar Khyam","raw_affiliation_strings":["School of Electrical Engineering, Central Queensland University, Melbourne, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-1988-2328","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Central Queensland University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I74899385"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008501506","display_name":"Shuzhi Sam Ge","orcid":"https://orcid.org/0000-0001-5549-312X"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shuzhi Sam Ge","raw_affiliation_strings":["Social Robotics Laboratory, Department of Electrical and Computer Engineering, Interactive Digital Media Institute, National University of Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-5549-312X","affiliations":[{"raw_affiliation_string":"Social Robotics Laboratory, Department of Electrical and Computer Engineering, Interactive Digital Media Institute, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9364,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.92430779,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"19","issue":"4","first_page":"5530","last_page":"5542"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9843999743461609,"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"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9843999743461609,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9832000136375427,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9254000186920166,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.6608047485351562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6368324756622314},{"id":"https://openalex.org/keywords/topsis","display_name":"TOPSIS","score":0.5616541504859924},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5446202158927917},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.4939723610877991},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49108266830444336},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4888538718223572},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.4230020046234131},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40627041459083557},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3584243357181549},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13490664958953857},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.12240242958068848}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6608047485351562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6368324756622314},{"id":"https://openalex.org/C51566761","wikidata":"https://www.wikidata.org/wiki/Q1235853","display_name":"TOPSIS","level":2,"score":0.5616541504859924},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5446202158927917},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4939723610877991},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49108266830444336},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4888538718223572},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.4230020046234131},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40627041459083557},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3584243357181549},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13490664958953857},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.12240242958068848},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tii.2022.3182780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3182780","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-04701584v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04701584","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Industrial Informatics, 2022, 19 (4), pp.5530-5542. ⟨10.1109/TII.2022.3182780⟩","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1278631620","display_name":null,"funder_award_id":"62102242","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2038491830","display_name":null,"funder_award_id":"62073072","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3961311917","display_name":null,"funder_award_id":"62103258","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":40,"referenced_works":["https://openalex.org/W1565231976","https://openalex.org/W1981658663","https://openalex.org/W2012964815","https://openalex.org/W2063598276","https://openalex.org/W2096943734","https://openalex.org/W2123504417","https://openalex.org/W2131953535","https://openalex.org/W2149298154","https://openalex.org/W2149466042","https://openalex.org/W2155251704","https://openalex.org/W2170505850","https://openalex.org/W2285292066","https://openalex.org/W2559544114","https://openalex.org/W2571334678","https://openalex.org/W2795342689","https://openalex.org/W2811277026","https://openalex.org/W2883074505","https://openalex.org/W2884771968","https://openalex.org/W2944843851","https://openalex.org/W2952109532","https://openalex.org/W2963168418","https://openalex.org/W2963214104","https://openalex.org/W2997701990","https://openalex.org/W3007690119","https://openalex.org/W3033245467","https://openalex.org/W3035203002","https://openalex.org/W3035205925","https://openalex.org/W3046507381","https://openalex.org/W3080108946","https://openalex.org/W3085376294","https://openalex.org/W3100989880","https://openalex.org/W3113163751","https://openalex.org/W3132447096","https://openalex.org/W3147791497","https://openalex.org/W3169532186","https://openalex.org/W4200092079","https://openalex.org/W4301347335","https://openalex.org/W6675747103","https://openalex.org/W6726403853","https://openalex.org/W6754770232"],"related_works":["https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W3203792196","https://openalex.org/W2955455867","https://openalex.org/W4295929828","https://openalex.org/W1583422155","https://openalex.org/W3156096827"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"wearable":[3],"sensor-based":[4],"human":[5],"activity":[6,37,72],"recognition":[7],"(HAR)":[8],"is":[9,30,40,58,159],"becoming":[10],"more":[11,13],"and":[12,19,44,74,175],"attractive,":[14],"especially":[15],"in":[16,23,46],"health":[17],"monitoring":[18],"sports":[20],"management.":[21],"However,":[22],"order":[24,146],"to":[25,33,64,80,118,139,150,161],"obtain":[26],"high-quality":[27],"HAR,":[28,99],"it":[29],"often":[31],"necessary":[32],"get":[34],"sufficient":[35],"labeled":[36,71],"data,":[38,73],"which":[39,100],"very":[41],"difficult,":[42],"time-consuming,":[43],"costly":[45],"a":[47,59,89],"natural":[48],"environment.":[49],"To":[50],"tackle":[51],"this":[52,77,86],"problem,":[53],"multisource":[54,67,91,125],"domain":[55],"adaptation":[56],"(DA)":[57],"promising":[60],"method":[61,158],"that":[62,179],"aims":[63],"learn":[65,119],"enough":[66],"prior":[68],"knowledge":[69,79,105],"from":[70],"then":[75,128],"transfer":[76],"learned":[78],"the":[81,113,129,140,155,163,176,180],"target":[82],"unlabeled":[83],"dataset.":[84],"Thus,":[85],"article":[87],"presents":[88],"novel":[90],"weighted":[92],"DA":[93],"with":[94],"evidential":[95],"reasoning":[96],"(w-MSDAER)":[97],"for":[98,145],"can":[101],"effectively":[102],"utilize":[103],"complementary":[104],"between":[106],"multiple":[107],"sources.":[108],"Specifically,":[109],"we":[110],"first":[111],"use":[112],"strategy":[114],"of":[115,131],"distribution":[116],"alignment":[117],"local":[120,164],"domain-invariant":[121],"classifiers":[122,134],"based":[123,143],"on":[124,171],"domains.":[126],"And":[127],"reliabilities":[130],"these":[132],"derived":[133],"are":[135,169],"comprehensively":[136],"evaluated":[137],"according":[138],"belief":[141],"function":[142],"technique":[144],"preference":[147],"by":[148],"similarity":[149],"ideal":[151],"solution":[152],"(BF-TOPSIS).":[153],"Finally,":[154],"discounting":[156],"fusion":[157],"used":[160],"fuse":[162],"classification":[165],"results.":[166],"Comprehensive":[167],"experiments":[168],"conducted":[170],"two":[172],"open-source":[173],"datasets,":[174],"results":[177],"show":[178],"proposed":[181],"w-MSDAER":[182],"significantly":[183],"outperforms":[184],"other":[185],"state-of-art":[186],"methods.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}