{"id":"https://openalex.org/W4416252288","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228320","title":"HierADL: Automatic Hierarchical Structures to Improve Daily Activity Recognition","display_name":"HierADL: Automatic Hierarchical Structures to Improve Daily Activity Recognition","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416252288","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228320"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11228320","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228320","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5069445569","display_name":"Manuel Benavent-Lled\u00f3","orcid":"https://orcid.org/0000-0001-8809-8476"},"institutions":[{"id":"https://openalex.org/I130194489","display_name":"University of Alicante","ror":"https://ror.org/05t8bcz72","country_code":"ES","type":"education","lineage":["https://openalex.org/I130194489"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Manuel Benavent-Lledo","raw_affiliation_strings":["University of Alicante,Department of Computer Technology,Spain"],"affiliations":[{"raw_affiliation_string":"University of Alicante,Department of Computer Technology,Spain","institution_ids":["https://openalex.org/I130194489"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088006135","display_name":"David Ortiz-P\u00e9rez","orcid":"https://orcid.org/0009-0008-4890-8217"},"institutions":[{"id":"https://openalex.org/I130194489","display_name":"University of Alicante","ror":"https://ror.org/05t8bcz72","country_code":"ES","type":"education","lineage":["https://openalex.org/I130194489"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"David Ortiz-Perez","raw_affiliation_strings":["University of Alicante,Department of Computer Technology,Spain"],"affiliations":[{"raw_affiliation_string":"University of Alicante,Department of Computer Technology,Spain","institution_ids":["https://openalex.org/I130194489"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033302099","display_name":"David Mulero-P\u00e9rez","orcid":"https://orcid.org/0000-0002-1712-7265"},"institutions":[{"id":"https://openalex.org/I130194489","display_name":"University of Alicante","ror":"https://ror.org/05t8bcz72","country_code":"ES","type":"education","lineage":["https://openalex.org/I130194489"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"David Mulero-Perez","raw_affiliation_strings":["University of Alicante,Department of Computer Technology,Spain"],"affiliations":[{"raw_affiliation_string":"University of Alicante,Department of Computer Technology,Spain","institution_ids":["https://openalex.org/I130194489"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078780485","display_name":"Pablo Ruiz-Ponce","orcid":"https://orcid.org/0009-0004-6434-2701"},"institutions":[{"id":"https://openalex.org/I130194489","display_name":"University of Alicante","ror":"https://ror.org/05t8bcz72","country_code":"ES","type":"education","lineage":["https://openalex.org/I130194489"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pablo Ruiz-Ponce","raw_affiliation_strings":["University of Alicante,Department of Computer Technology,Spain"],"affiliations":[{"raw_affiliation_string":"University of Alicante,Department of Computer Technology,Spain","institution_ids":["https://openalex.org/I130194489"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019125954","display_name":"Jose Garcia-Rodriguez","orcid":"https://orcid.org/0000-0002-8057-5706"},"institutions":[{"id":"https://openalex.org/I130194489","display_name":"University of Alicante","ror":"https://ror.org/05t8bcz72","country_code":"ES","type":"education","lineage":["https://openalex.org/I130194489"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose Garcia-Rodriguez","raw_affiliation_strings":["University of Alicante,Department of Computer Technology,Spain"],"affiliations":[{"raw_affiliation_string":"University of Alicante,Department of Computer Technology,Spain","institution_ids":["https://openalex.org/I130194489"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5069445569"],"corresponding_institution_ids":["https://openalex.org/I130194489"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37597682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9801999926567078,"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":0.9801999926567078,"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":0.00800000037997961,"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/T12290","display_name":"Human Motion and Animation","score":0.00139999995008111,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.6700000166893005},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6349999904632568},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5428000092506409},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5299999713897705},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4993000030517578},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.45210000872612},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.44909998774528503},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.3476000130176544},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33889999985694885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8119999766349792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7364000082015991},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6700000166893005},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6349999904632568},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5428000092506409},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5311999917030334},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5299999713897705},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4993000030517578},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.45210000872612},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.44909998774528503},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.3476000130176544},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33889999985694885},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.3188999891281128},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.28519999980926514},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C124527596","wikidata":"https://www.wikidata.org/wiki/Q17029359","display_name":"Hierarchical control system","level":3,"score":0.27730000019073486},{"id":"https://openalex.org/C2777946921","wikidata":"https://www.wikidata.org/wiki/Q7449044","display_name":"Semantic analysis (machine learning)","level":2,"score":0.27649998664855957},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.27649998664855957},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.27630001306533813},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.25870001316070557},{"id":"https://openalex.org/C79544238","wikidata":"https://www.wikidata.org/wiki/Q423243","display_name":"Activities of daily living","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11228320","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228320","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2618963662","https://openalex.org/W2799002257","https://openalex.org/W2963195425","https://openalex.org/W2963246338","https://openalex.org/W2963524571","https://openalex.org/W2963722382","https://openalex.org/W2982419388","https://openalex.org/W2990503944","https://openalex.org/W3033907703","https://openalex.org/W3035180180","https://openalex.org/W3097033071","https://openalex.org/W3107320732","https://openalex.org/W3119437694","https://openalex.org/W3120335880","https://openalex.org/W3126721948","https://openalex.org/W3128636476","https://openalex.org/W3129478823","https://openalex.org/W3138516171","https://openalex.org/W3173655578","https://openalex.org/W3183137097","https://openalex.org/W3199973286","https://openalex.org/W4210654500","https://openalex.org/W4214589115","https://openalex.org/W4214612132","https://openalex.org/W4214614183","https://openalex.org/W4312560592","https://openalex.org/W4312769131","https://openalex.org/W4313071313","https://openalex.org/W4382467086","https://openalex.org/W4386083063","https://openalex.org/W4386615652","https://openalex.org/W4390874667","https://openalex.org/W4409366633","https://openalex.org/W4415706673"],"related_works":[],"abstract_inverted_index":{"Human":[0],"action":[1,29,49,95,106,165],"recognition":[2,50],"is":[3,73],"a":[4,27,52,76,90],"widely":[5],"explored":[6],"problem":[7],"in":[8,13,61,97],"computer":[9],"vision,":[10],"with":[11,125,145],"applications":[12],"domains":[14],"such":[15],"as":[16],"robotics":[17],"and":[18,108,136,170,181,188],"surveillance.":[19],"While":[20],"most":[21,146,160],"existing":[22],"methods":[23],"focus":[24],"on":[25,56,168,183,199],"predicting":[26],"single":[28],"class,":[30],"human":[31],"actions":[32,117,138],"are":[33,123],"not":[34],"isolated":[35],"events":[36],"but":[37],"range":[38],"from":[39,51,111],"simple":[40],"movements":[41],"to":[42,114,139,157],"complex":[43],"behaviors.":[44],"Recent":[45],"work":[46],"has":[47],"approached":[48],"hierarchical":[53],"perspective,":[54],"relying":[55],"manually":[57],"annotated":[58],"labels":[59,107],"available":[60],"some":[62],"domains.":[63],"In":[64,84,150],"contrast,":[65],"the":[66,98,126,159],"Activities":[67],"of":[68,78,105,133,208],"Daily":[69],"Living":[70],"(ADL)":[71],"domain":[72],"constrained":[74],"by":[75],"lack":[77],"structured":[79],"datasets":[80],"for":[81,92,163],"this":[82,85],"purpose.":[83],"work,":[86],"we":[87,152],"introduce":[88],"HierADL,":[89],"framework":[91],"automatically":[93],"generating":[94,164],"hierarchies":[96,122,166,176],"ADL":[99,185],"domain.":[100],"HierADL":[101,127,175,195],"leverages":[102],"semantic":[103,171],"features":[104,110],"visual":[109,169],"video":[112,147,202],"clips":[113],"group":[115],"fine-grained":[116,135],"into":[118],"coarse-grained":[119,137],"categories.":[120],"These":[121],"integrated":[124],"classifier,":[128],"which":[129],"allows":[130],"simultaneous":[131],"prediction":[132],"both":[134],"improve":[140],"accuracy,":[141],"besides":[142],"being":[143],"compatible":[144],"classification":[148],"architectures.":[149],"addition,":[151],"conduct":[153],"an":[154,205],"ablation":[155],"study":[156],"identify":[158],"effective":[161],"method":[162],"based":[167],"cues.":[172],"We":[173],"evaluate":[174],"qualitatively":[177],"using":[178],"t-SNE":[179],"plots,":[180],"quantitatively":[182],"two":[184],"datasets:":[186],"ETRI-Activity":[187],"Hierarchical":[189],"TSU.":[190],"Our":[191],"results":[192],"demonstrate":[193],"that":[194],"outperforms":[196],"fine-grained-only":[197],"approaches":[198],"several":[200],"state-of-the-art":[201],"backbones,":[203],"achieving":[204],"accuracy":[206],"improvement":[207],"over":[209],"3.5%.":[210]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-14T00:00:00"}