{"id":"https://openalex.org/W3171745137","doi":"https://doi.org/10.1109/icme51207.2021.9428296","title":"Toward Personalized Human Activity Recognition Model with Auto-Supervised Learning Framework","display_name":"Toward Personalized Human Activity Recognition Model with Auto-Supervised Learning Framework","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3171745137","doi":"https://doi.org/10.1109/icme51207.2021.9428296","mag":"3171745137"},"language":"en","primary_location":{"id":"doi:10.1109/icme51207.2021.9428296","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-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/A5055304545","display_name":"Ala Mhalla","orcid":"https://orcid.org/0000-0002-8436-2468"},"institutions":[{"id":"https://openalex.org/I4210099416","display_name":"Laboratoire d'Informatique, de Mod\u00e9lisation et d'Optimisation des Syst\u00e8mes","ror":"https://ror.org/00t3fpp34","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I198244214","https://openalex.org/I198244214","https://openalex.org/I203339264","https://openalex.org/I205703379","https://openalex.org/I3019848993","https://openalex.org/I4210099416","https://openalex.org/I4210123221","https://openalex.org/I4210159245","https://openalex.org/I4387154249"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Ala Mhalla","raw_affiliation_strings":["Université Clermont Auvergne,Laboratoire LIMOS,CNRS UMR 6158,Aubière,France,63170"],"affiliations":[{"raw_affiliation_string":"Université Clermont Auvergne,Laboratoire LIMOS,CNRS UMR 6158,Aubière,France,63170","institution_ids":["https://openalex.org/I4210099416","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041438600","display_name":"Jean-Marie Favreau","orcid":"https://orcid.org/0000-0002-2460-6336"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210099416","display_name":"Laboratoire d'Informatique, de Mod\u00e9lisation et d'Optimisation des Syst\u00e8mes","ror":"https://ror.org/00t3fpp34","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I198244214","https://openalex.org/I198244214","https://openalex.org/I203339264","https://openalex.org/I205703379","https://openalex.org/I3019848993","https://openalex.org/I4210099416","https://openalex.org/I4210123221","https://openalex.org/I4210159245","https://openalex.org/I4387154249"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Marie Favreau","raw_affiliation_strings":["Université Clermont Auvergne,Laboratoire LIMOS,CNRS UMR 6158,Aubière,France,63170"],"affiliations":[{"raw_affiliation_string":"Université Clermont Auvergne,Laboratoire LIMOS,CNRS UMR 6158,Aubière,France,63170","institution_ids":["https://openalex.org/I4210099416","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055304545"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210099416"],"apc_list":null,"apc_paid":null,"fwci":0.2905,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54816473,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998000264167786,"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":0.9998000264167786,"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/T11446","display_name":"Mobile Health and mHealth Applications","score":0.9370999932289124,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9293000102043152,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7625758647918701},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.6832904815673828},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6371015310287476},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5372912883758545},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4970698654651642},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.45910385251045227},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45390474796295166},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4193437397480011},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3833276629447937},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.17082479596138},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.0741085410118103}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7625758647918701},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6832904815673828},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6371015310287476},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5372912883758545},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4970698654651642},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.45910385251045227},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45390474796295166},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4193437397480011},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3833276629447937},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.17082479596138},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.0741085410118103},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme51207.2021.9428296","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03336367v1","is_oa":false,"landing_page_url":"https://uca.hal.science/hal-03336367","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":"2021 IEEE International Conference on Multimedia and Expo (ICME), Jul 2021, Shenzhen, France. pp.1-6, ⟨10.1109/ICME51207.2021.9428296⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5400000214576721,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W134960717","https://openalex.org/W2017634428","https://openalex.org/W2096680959","https://openalex.org/W2113577207","https://openalex.org/W2129793335","https://openalex.org/W2285292066","https://openalex.org/W2595331287","https://openalex.org/W2597452478","https://openalex.org/W2785232201","https://openalex.org/W2885453802","https://openalex.org/W2915347384","https://openalex.org/W2927635891","https://openalex.org/W2931250519","https://openalex.org/W2970548317","https://openalex.org/W2997626223","https://openalex.org/W3047214286","https://openalex.org/W6605479355"],"related_works":["https://openalex.org/W2015530857","https://openalex.org/W2556064263","https://openalex.org/W1991846142","https://openalex.org/W1583020711","https://openalex.org/W1521151968","https://openalex.org/W2154177135","https://openalex.org/W4387465941","https://openalex.org/W2252747487","https://openalex.org/W4307413935","https://openalex.org/W3158697290"],"abstract_inverted_index":{"The":[0,76],"performance":[1],"of":[2,58,99,131],"any":[3],"Human":[4],"Activity":[5],"Recognition":[6],"(HAR)":[7],"model":[8,108],"trained":[9],"from":[10,118],"a":[11,50,59,72,97,110],"general":[12],"population":[13],"(subject-independent),":[14],"will":[15],"often":[16],"decreases":[17],"when":[18],"tested":[19],"on":[20,55,83,123,144],"subjects":[21,157],"unseen":[22],"during":[23],"training.":[24],"This":[25],"is":[26],"due":[27],"to":[28,69,88,104,136],"inter-subject":[29],"variability":[30],"such":[31],"as":[32,96],"differences":[33],"in":[34,102,158],"activity":[35],"patterns,":[36],"emotional":[37],"status,":[38],"gait":[39],"or":[40,63],"posture":[41],"between":[42],"users.":[43],"To":[44],"solve":[45],"this":[46],"problem,":[47],"we":[48],"propose":[49],"novel":[51],"auto-supervision":[52],"formalism":[53],"based":[54,82,122],"the":[56,84,93,106,119,129,132,137,159],"theory":[57],"Particle":[60],"Filter":[61],"(PF)":[62],"Sequential":[64],"Monte":[65],"Carlo":[66],"(SMC)":[67],"method":[68,87],"automatically":[70,89],"build":[71],"personalized":[73],"HAR":[74,107,147],"model.":[75],"suggested":[77],"approach":[78],"uses":[79],"different":[80],"steps":[81],"SMC":[85],"filter":[86],"and":[90,149],"iteratively":[91],"approximate":[92],"target":[94,111,120,138],"distribution":[95],"set":[98],"temporal":[100,114,133],"samples":[101,115,134],"order":[103],"personalize":[105],"towards":[109],"user.":[112],"These":[113],"are":[116],"selected":[117],"user":[121],"their":[124],"importance":[125],"score,":[126],"which":[127],"indicates":[128],"likelihood":[130],"belong":[135],"distribution.":[139],"We":[140],"validated":[141],"our":[142],"framework":[143],"several":[145],"public":[146],"datasets,":[148],"prediction":[150],"accuracy":[151],"was":[152],"consistently":[153],"improved":[154],"for":[155],"new":[156],"test":[160],"set.":[161]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}