{"id":"https://openalex.org/W7129044971","doi":"https://doi.org/10.1109/access.2026.3665252","title":"Meta and Multi-Task Learning for Action Recognition: A Survey","display_name":"Meta and Multi-Task Learning for Action Recognition: A Survey","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7129044971","doi":"https://doi.org/10.1109/access.2026.3665252"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3665252","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3665252","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2026.3665252","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032906816","display_name":"Gavriela Senteri","orcid":"https://orcid.org/0000-0002-0188-2231"},"institutions":[{"id":"https://openalex.org/I2746051580","display_name":"Universit\u00e9 Paris Sciences et Lettres","ror":"https://ror.org/013cjyk83","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gavriela Senteri","raw_affiliation_strings":["Centre for Robotics, Mines Paris&#x2013;PSL University, Paris, France"],"raw_orcid":"https://orcid.org/0000-0002-0188-2231","affiliations":[{"raw_affiliation_string":"Centre for Robotics, Mines Paris&#x2013;PSL University, Paris, France","institution_ids":["https://openalex.org/I2746051580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037410620","display_name":"Sotiris Manitsaris","orcid":"https://orcid.org/0000-0003-4552-1793"},"institutions":[{"id":"https://openalex.org/I2746051580","display_name":"Universit\u00e9 Paris Sciences et Lettres","ror":"https://ror.org/013cjyk83","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sotiris Manitsaris","raw_affiliation_strings":["Centre for Robotics, Mines Paris&#x2013;PSL University, Paris, France"],"raw_orcid":"https://orcid.org/0000-0003-4552-1793","affiliations":[{"raw_affiliation_string":"Centre for Robotics, Mines Paris&#x2013;PSL University, Paris, France","institution_ids":["https://openalex.org/I2746051580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059636444","display_name":"Alina Glushkova","orcid":"https://orcid.org/0000-0002-6214-2034"},"institutions":[{"id":"https://openalex.org/I2746051580","display_name":"Universit\u00e9 Paris Sciences et Lettres","ror":"https://ror.org/013cjyk83","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alina Glushkova","raw_affiliation_strings":["Centre for Robotics, Mines Paris&#x2013;PSL University, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Robotics, Mines Paris&#x2013;PSL University, Paris, France","institution_ids":["https://openalex.org/I2746051580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19859641,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"24524","last_page":"24555"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.8224999904632568,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.8224999904632568,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.12099999934434891,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.006300000008195639,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6215000152587891},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6166999936103821},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.46650001406669617},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4499000012874603},{"id":"https://openalex.org/keywords/action-learning","display_name":"Action learning","score":0.4235999882221222},{"id":"https://openalex.org/keywords/virtual-actor","display_name":"Virtual actor","score":0.4027999937534332},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.38589999079704285}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7168999910354614},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6215000152587891},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6166999936103821},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.49639999866485596},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.46650001406669617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45190000534057617},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4499000012874603},{"id":"https://openalex.org/C183759332","wikidata":"https://www.wikidata.org/wiki/Q343680","display_name":"Action learning","level":4,"score":0.4235999882221222},{"id":"https://openalex.org/C150303390","wikidata":"https://www.wikidata.org/wiki/Q1983852","display_name":"Virtual actor","level":3,"score":0.4027999937534332},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.38589999079704285},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.34929999709129333},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34060001373291016},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3382999897003174},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.33320000767707825},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.28999999165534973},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.2897999882698059},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.274399995803833},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.2630000114440918},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2506999969482422}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2026.3665252","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3665252","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-05516783v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05516783","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, 2026, &#x27E8;10.1109/access.2026.3665252&#x27E9;","raw_type":"Journal articles"},{"id":"pmh:oai:doaj.org/article:b9669c7ecf4a4f1e9284fea2dbae21ca","is_oa":true,"landing_page_url":"https://doaj.org/article/b9669c7ecf4a4f1e9284fea2dbae21ca","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 14, Pp 24524-24555 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3665252","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3665252","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Human":[0],"movement":[1],"recognition":[2,26,172],"currently":[3,35,55],"plays":[4],"an":[5],"important":[6],"role":[7],"in":[8,52],"fields":[9],"where":[10],"human-machine":[11],"interaction":[12],"is":[13,34],"included,":[14],"such":[15],"as":[16,71,73,98],"virtual":[17],"reality":[18],"and":[19,33,65,92,124,161,170],"rehabilitation.":[20],"In":[21],"these":[22],"cases,":[23],"the":[24,41,49,74,87,102,108,119,128,131,139,147,165],"accurate":[25],"of":[27,44,79,89,149,167],"human":[28,114],"actions":[29],"has":[30],"become":[31],"essential,":[32],"making":[36],"significant":[37],"steps":[38],"due":[39],"to":[40,63,67,100,113,143,153],"wide":[42],"use":[43],"Machine":[45],"Learning":[46,91,94],"algorithms.":[47],"However,":[48],"standard":[50],"methods":[51,88],"that":[53,59,130],"category":[54],"face":[56],"several":[57],"challenges":[58],"concern":[60],"their":[61],"ability":[62],"generalize":[64],"adapt":[66],"new,":[68],"unseen":[69],"data,":[70],"well":[72],"need":[75],"for":[76,81,164],"large":[77],"amounts":[78],"data":[80,122],"training.":[82],"This":[83],"survey":[84,156],"examines":[85],"how":[86,107],"Multi-Task":[90],"Meta":[93],"have":[95],"been":[96],"deployed":[97],"strategies":[99],"tackle":[101],"above":[103],"challenges.":[104],"It":[105],"studies":[106,150],"two":[109],"approaches":[110],"are":[111],"applied":[112],"action":[115],"recognition,":[116],"focusing":[117],"on":[118],"utilized":[120],"methodologies,":[121],"modalities,":[123],"architectural":[125],"approaches,":[126],"highlighting":[127],"way":[129],"first":[132],"method":[133],"promotes":[134],"task-related":[135],"knowledge":[136],"sharing,":[137],"while":[138],"second":[140],"enables":[141],"adaptation":[142],"scarce":[144],"data.":[145],"Through":[146],"mapping":[148],"from":[151],"2014":[152],"2025,":[154],"this":[155],"identifies":[157],"trends,":[158],"methodological":[159],"gaps,":[160],"future":[162],"insights":[163],"development":[166],"more":[168],"adaptive":[169],"context-aware":[171],"systems.":[173]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-17T00:00:00"}
