{"id":"https://openalex.org/W3164594127","doi":"https://doi.org/10.1109/access.2021.3083064","title":"A Framework for Anomaly Identification Applied on Fall Detection","display_name":"A Framework for Anomaly Identification Applied on Fall Detection","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3164594127","doi":"https://doi.org/10.1109/access.2021.3083064","mag":"3164594127"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3083064","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3083064","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09439497.pdf","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","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09439497.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068928866","display_name":"Yves M. Galv\u00e3o","orcid":"https://orcid.org/0000-0002-7199-8758"},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Yves M. Galvao","raw_affiliation_strings":["Escola Polit\u00e9cnica de Pernambuco (POLI), Universidade de Pernambuco (UPE), Recife, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-7199-8758","affiliations":[{"raw_affiliation_string":"Escola Polit\u00e9cnica de Pernambuco (POLI), Universidade de Pernambuco (UPE), Recife, Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019696531","display_name":"Let\u00edcia Portela","orcid":"https://orcid.org/0000-0001-7214-1644"},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Leticia Portela","raw_affiliation_strings":["Escola Polit\u00e9cnica de Pernambuco (POLI), Universidade de Pernambuco (UPE), Recife, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Escola Polit\u00e9cnica de Pernambuco (POLI), Universidade de Pernambuco (UPE), Recife, Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113964002","display_name":"Janderson Ferreira","orcid":null},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Janderson Ferreira","raw_affiliation_strings":["Escola Polit\u00e9cnica de Pernambuco (POLI), Universidade de Pernambuco (UPE), Recife, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Escola Polit\u00e9cnica de Pernambuco (POLI), Universidade de Pernambuco (UPE), Recife, Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073057205","display_name":"Pablo Barros","orcid":"https://orcid.org/0000-0002-6517-682X"},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]},{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR","IT"],"is_corresponding":false,"raw_author_name":"Pablo Barros","raw_affiliation_strings":["Cognitive Architecture for Collaborative Technologies (CONTACT) Unit, Istituto Italiano di Tecnologia, Genova, Italy","Escola Polit\u00e9cnica de Pernambuco (POLI), Universidade de Pernambuco (UPE), Recife, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cognitive Architecture for Collaborative Technologies (CONTACT) Unit, Istituto Italiano di Tecnologia, Genova, Italy","institution_ids":["https://openalex.org/I30771326"]},{"raw_affiliation_string":"Escola Polit\u00e9cnica de Pernambuco (POLI), Universidade de Pernambuco (UPE), Recife, Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077974457","display_name":"Roberta Fagundes","orcid":"https://orcid.org/0000-0002-7172-4183"},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Oberta Andrade De Araujo Fagundes","raw_affiliation_strings":["Escola Polit\u00e9cnica de Pernambuco (POLI), Universidade de Pernambuco (UPE), Recife, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-7172-4183","affiliations":[{"raw_affiliation_string":"Escola Polit\u00e9cnica de Pernambuco (POLI), Universidade de Pernambuco (UPE), Recife, Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059739611","display_name":"Bruno Fernandes","orcid":"https://orcid.org/0000-0002-6001-3925"},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Bruno J. T. Fernandes","raw_affiliation_strings":["Escola Polit\u00e9cnica de Pernambuco (POLI), Universidade de Pernambuco (UPE), Recife, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-6001-3925","affiliations":[{"raw_affiliation_string":"Escola Polit\u00e9cnica de Pernambuco (POLI), Universidade de Pernambuco (UPE), Recife, Brazil","institution_ids":["https://openalex.org/I71437568"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5068928866"],"corresponding_institution_ids":["https://openalex.org/I71437568"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.9384,"has_fulltext":true,"cited_by_count":31,"citation_normalized_percentile":{"value":0.92375961,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"77264","last_page":"77274"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9994999766349792,"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":0.9965000152587891,"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":0.7779132127761841},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6073395609855652},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.565032958984375},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.538270115852356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5086641907691956},{"id":"https://openalex.org/keywords/activities-of-daily-living","display_name":"Activities of daily living","score":0.48445606231689453},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47512441873550415},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46050235629081726},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4347188472747803},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.4119642674922943},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3808740973472595}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7779132127761841},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6073395609855652},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.565032958984375},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.538270115852356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5086641907691956},{"id":"https://openalex.org/C79544238","wikidata":"https://www.wikidata.org/wiki/Q423243","display_name":"Activities of daily living","level":2,"score":0.48445606231689453},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47512441873550415},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46050235629081726},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4347188472747803},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.4119642674922943},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3808740973472595},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2021.3083064","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3083064","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09439497.pdf","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:doaj.org/article:49edcf9b29f04450a3d1f766fda26327","is_oa":true,"landing_page_url":"https://doaj.org/article/49edcf9b29f04450a3d1f766fda26327","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 9, Pp 77264-77274 (2021)","raw_type":"article"},{"id":"pmh:oai:zenodo.org:210946","is_oa":true,"landing_page_url":"https://www.openaccessrepository.it/record/210946","pdf_url":null,"source":{"id":"https://openalex.org/S4306402478","display_name":"INFM-OAR (INFN Catania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210116497","host_organization_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Catania","host_organization_lineage":["https://openalex.org/I4210116497"],"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":"Zootaxa, 3565, 18-30, (2012-12-31)","raw_type":"info:eu-repo/semantics/other"},{"id":"doi:10.5281/zenodo.210946","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.210946","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"graphic"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3083064","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3083064","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09439497.pdf","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":[{"score":0.8700000047683716,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G8920435243","display_name":null,"funder_award_id":"Grant 001","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"}],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320323678","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Ci\u00eancia e Tecnologia do Estado de Pernambuco","ror":"https://ror.org/02te5rf52"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3164594127.pdf","grobid_xml":"https://content.openalex.org/works/W3164594127.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1634642176","https://openalex.org/W1973464566","https://openalex.org/W2011278516","https://openalex.org/W2035803244","https://openalex.org/W2036068162","https://openalex.org/W2074099390","https://openalex.org/W2096300942","https://openalex.org/W2113207845","https://openalex.org/W2140943894","https://openalex.org/W2148048965","https://openalex.org/W2155326828","https://openalex.org/W2340896621","https://openalex.org/W2522485430","https://openalex.org/W2560901189","https://openalex.org/W2605270538","https://openalex.org/W2612353874","https://openalex.org/W2619947201","https://openalex.org/W2738593047","https://openalex.org/W2745519816","https://openalex.org/W2750586932","https://openalex.org/W2769122686","https://openalex.org/W2777292639","https://openalex.org/W2786330838","https://openalex.org/W2790071765","https://openalex.org/W2909645133","https://openalex.org/W2921884976","https://openalex.org/W2938926494","https://openalex.org/W2941398656","https://openalex.org/W2945362095","https://openalex.org/W2952040969","https://openalex.org/W2963076818","https://openalex.org/W2967575899","https://openalex.org/W2969864035","https://openalex.org/W2970050845","https://openalex.org/W2971217834","https://openalex.org/W2979637742","https://openalex.org/W2980266732","https://openalex.org/W2980662037","https://openalex.org/W2983088808","https://openalex.org/W2995978786","https://openalex.org/W2996492278","https://openalex.org/W3006905737","https://openalex.org/W3008218702","https://openalex.org/W3009266591","https://openalex.org/W3046664783","https://openalex.org/W3101028550","https://openalex.org/W3131579999","https://openalex.org/W4288287657","https://openalex.org/W6677088747","https://openalex.org/W6742667445","https://openalex.org/W6745960190","https://openalex.org/W6747795875","https://openalex.org/W6760564666","https://openalex.org/W6767133472","https://openalex.org/W6955071965"],"related_works":["https://openalex.org/W2071210425","https://openalex.org/W4200627986","https://openalex.org/W2103158077","https://openalex.org/W2208191412","https://openalex.org/W2413724037","https://openalex.org/W2378076731","https://openalex.org/W4375867731","https://openalex.org/W4310840813","https://openalex.org/W4286888643","https://openalex.org/W4232043044"],"abstract_inverted_index":{"Automatic":[0],"systems":[1],"to":[2,84,104,155,180,190,218,223,230,242],"monitor":[3],"people":[4],"and":[5,18,45,66,99,107,120,174,208,227,253,263],"subsequently":[6],"improve":[7],"people's":[8],"lives":[9],"have":[10],"been":[11],"emerging":[12],"in":[13,36,57],"the":[14,40,46,76,113,176,216,220,225,228,231,244,277,280],"last":[15],"few":[16,119],"years,":[17],"currently,":[19],"they":[20],"are":[21,69,118],"capable":[22],"of":[23,27,34,42,48,151,203,212,215,246,287],"identifying":[24],"many":[25],"activities":[26],"daily":[28],"living":[29],"(ADLs).":[30],"An":[31],"important":[32],"field":[33],"research":[35],"this":[37],"context":[38],"is":[39,51,133,143,250],"monitoring":[41],"health":[43],"risks":[44],"identification":[47,82],"falls.":[49],"It":[50],"estimated":[52],"that":[53,129,210],"every":[54],"year,":[55],"one":[56,261],"three":[58,201],"persons":[59],"older":[60],"than":[61],"65":[62],"years":[63],"will":[64],"fall,":[65],"fall":[67,116,147],"events":[68],"associated":[70],"with":[71,196],"high":[72],"mortality":[73],"rates":[74],"among":[75],"elderly.":[77],"We":[78,185,199],"propose":[79],"an":[80,101,149,293],"anomaly":[81],"framework":[83,168],"detect":[85],"falls,":[86],"which":[87,290],"incorporates":[88],"a":[89,96,124,136,146,254,284],"spatial-temporal":[90],"convolutional":[91],"graph":[92],"network":[93],"(ST-GCN)":[94],"as":[95,110,148,158,183],"feature":[97],"extractor":[98],"uses":[100],"encoder":[102],"process":[103],"reconstruct":[105],"ADLs":[106,152],"identify":[108,181],"falls":[109,157,182,192],"anomalies.":[111,184],"As":[112],"publicly":[114],"available":[115],"datasets":[117,241],"generally":[121],"unbalanced,":[122],"training":[123,194,207],"reliable":[125],"model":[126,221,249,281],"using":[127,265],"approaches":[128],"need":[130],"explicit":[131,161],"labeling":[132],"challenging.":[134],"Thus,":[135],"focus":[137],"on":[138,260,272,276],"learning":[139],"without":[140,160],"external":[141],"supervision":[142],"desirable.":[144],"Treating":[145],"exception":[150],"allows":[153],"us":[154],"recognize":[156,191],"anomalies":[159],"labels.":[162],"Given":[163],"its":[164],"modular":[165],"architecture,":[166],"our":[167,187,248,273],"can":[169],"robustly":[170],"represent":[171],"visual":[172],"information":[173],"use":[175],"encoder's":[177],"reconstruction":[178],"error":[179],"assess":[186],"framework's":[188],"ability":[189],"by":[193],"it":[195,292],"only":[197],"ADLs.":[198],"perform":[200],"types":[202],"experiments:":[204],"single":[205],"dataset":[206,235,262],"evaluation":[209],"consists":[211],"separate":[213],"90%":[214],"data":[217],"train":[219,259],"5%":[222],"adjust":[224],"model,":[226],"rest":[229],"test.":[232],"A":[233],"joint":[234],"experiment,":[236],"where":[237,257],"we":[238,258],"combine":[239],"two":[240],"increase":[243],"number":[245,286],"samples":[247],"trained":[251],"on,":[252],"cross-dataset":[255,278],"evaluation,":[256],"evaluate":[264],"another":[266],"one.":[267],"Besides":[268],"presenting":[269],"state-of-the-art":[270],"results":[271],"experiments,":[274],"particularly":[275],"one,":[279],"also":[282],"presents":[283],"low":[285],"false":[288],"events,":[289],"makes":[291],"ideal":[294],"candidate":[295],"for":[296],"real-world":[297],"application.":[298]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4}],"updated_date":"2026-06-03T09:05:47.796612","created_date":"2025-10-10T00:00:00"}
