{"id":"https://openalex.org/W4313069893","doi":"https://doi.org/10.1109/tii.2022.3221208","title":"SDFA: Structure-Aware Discriminative Feature Aggregation for Efficient Human Fall Detection in Video","display_name":"SDFA: Structure-Aware Discriminative Feature Aggregation for Efficient Human Fall Detection in Video","publication_year":2022,"publication_date":"2022-11-10","ids":{"openalex":"https://openalex.org/W4313069893","doi":"https://doi.org/10.1109/tii.2022.3221208"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2022.3221208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3221208","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2503.07008","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038141523","display_name":"Sania Zahan","orcid":"https://orcid.org/0000-0002-5603-2170"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"The University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sania Zahan","raw_affiliation_strings":["Department of Computer Science and Software Engineering, The University of Western Australia, Crawley, WA, Australia"],"raw_orcid":"https://orcid.org/0000-0002-5603-2170","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, The University of Western Australia, Crawley, WA, Australia","institution_ids":["https://openalex.org/I177877127"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023496317","display_name":"Ghulam Mubashar Hassan","orcid":"https://orcid.org/0000-0002-6636-8807"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"The University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ghulam Mubashar Hassan","raw_affiliation_strings":["Department of Computer Science and Software Engineering, The University of Western Australia, Crawley, WA, Australia"],"raw_orcid":"https://orcid.org/0000-0002-6636-8807","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, The University of Western Australia, Crawley, WA, Australia","institution_ids":["https://openalex.org/I177877127"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089986388","display_name":"Ajmal Mian","orcid":"https://orcid.org/0000-0002-5206-3842"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"The University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ajmal Mian","raw_affiliation_strings":["Department of Computer Science and Software Engineering, The University of Western Australia, Crawley, WA, Australia"],"raw_orcid":"https://orcid.org/0000-0002-5206-3842","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, The University of Western Australia, Crawley, WA, Australia","institution_ids":["https://openalex.org/I177877127"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I177877127"],"apc_list":null,"apc_paid":null,"fwci":2.0528,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.88382263,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"19","issue":"8","first_page":"8713","last_page":"8721"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9984999895095825,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/discriminative-model","display_name":"Discriminative model","score":0.8413134813308716},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.795412540435791},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.590874433517456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5535281300544739},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4887244701385498},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4285806715488434},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4240206480026245},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3898799419403076},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3469545841217041},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3436075448989868},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.1557934582233429},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14039653539657593}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8413134813308716},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.795412540435791},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.590874433517456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5535281300544739},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4887244701385498},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4285806715488434},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4240206480026245},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3898799419403076},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3469545841217041},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3436075448989868},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.1557934582233429},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14039653539657593},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tii.2022.3221208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3221208","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:arXiv.org:2503.07008","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.07008","pdf_url":"https://arxiv.org/pdf/2503.07008","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:pure.atira.dk:publications/71aa67df-9e3b-4066-8e14-a4a723b19727","is_oa":false,"landing_page_url":"https://research-repository.uwa.edu.au/en/publications/71aa67df-9e3b-4066-8e14-a4a723b19727","pdf_url":null,"source":{"id":"https://openalex.org/S4306402492","display_name":"UWA Profiles and Research Repository (UWA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177877127","host_organization_name":"The University of Western Australia","host_organization_lineage":["https://openalex.org/I177877127"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zahan, S, Hassan, G M & Mian, A 2023, 'SDFA: Structure Aware Discriminative Feature Aggregation for Efficient Human Fall Detection in Video', IEEE Transactions on Industrial Informatics, vol. 19, no. 8, pp. 8713-8721. https://doi.org/10.1109/TII.2022.3221208","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pure.atira.dk:publications/71aa67df-9e3b-4066-8e14-a4a723b19727","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85141556332&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306402523","display_name":"UWA Profiles and Research Repository (University of Western Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177877127","host_organization_name":"The University of Western Australia","host_organization_lineage":["https://openalex.org/I177877127"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zahan , S , Hassan , G M &amp; Mian , A 2023 , ' SDFA: Structure Aware Discriminative Feature Aggregation for Efficient Human Fall Detection in Video ' , IEEE Transactions on Industrial Informatics , vol. 19 , no. 8 , pp. 8713-8721 . https://doi.org/10.1109/TII.2022.3221208","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2503.07008","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.07008","pdf_url":"https://arxiv.org/pdf/2503.07008","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G2514911462","display_name":"Defense against adversarial attacks on deep learning in computer vision","funder_award_id":"DP190102443","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1777221758","https://openalex.org/W2074099390","https://openalex.org/W2078089254","https://openalex.org/W2089916011","https://openalex.org/W2757938175","https://openalex.org/W2884695883","https://openalex.org/W2941398656","https://openalex.org/W2944006115","https://openalex.org/W2962730651","https://openalex.org/W2964134613","https://openalex.org/W2980662037","https://openalex.org/W2981397768","https://openalex.org/W2981441740","https://openalex.org/W2984598623","https://openalex.org/W3033610243","https://openalex.org/W3035225512","https://openalex.org/W3041676373","https://openalex.org/W3045295985","https://openalex.org/W3082925463","https://openalex.org/W3083654920","https://openalex.org/W3108496296","https://openalex.org/W3127786468","https://openalex.org/W3131579999","https://openalex.org/W4200271190","https://openalex.org/W4297775537","https://openalex.org/W6737664043"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W3088721469"],"abstract_inverted_index":{"Older":[0],"people":[1],"are":[2,51,73,89],"susceptible":[3],"to":[4,7,16,40,91,109],"fall":[5,31,121],"due":[6,108],"instability":[8],"in":[9,29,84,105],"posture":[10,111],"and":[11,88,144,150,159,165,216],"deteriorating":[12],"health.":[13],"Immediate":[14],"access":[15],"medical":[17],"support":[18],"can":[19],"greatly":[20],"reduce":[21],"repercussions.":[22],"Hence,":[23],"there":[24],"is":[25],"an":[26],"increasing":[27],"interest":[28],"automated":[30],"detection,":[32],"often":[33],"incorporated":[34],"into":[35],"a":[36,64,120,170,182,198],"smart":[37],"health-care":[38],"system":[39],"provide":[41,63],"better":[42],"monitoring.":[43],"Existing":[44],"systems":[45,62],"focus":[46],"on":[47,75,130,193],"wearable":[48],"devices":[49],"that":[50,56,80,103,205],"inconvenient":[52],"or":[53,112],"video":[54],"monitoring":[55],"has":[57],"privacy":[58,143],"concerns.":[59],"Moreover,":[60],"these":[61,116],"limited":[65],"perspective":[66],"of":[67,139,177,201],"their":[68],"generalization":[69],"ability":[70],"as":[71],"they":[72],"tested":[74],"datasets":[76,196],"containing":[77],"few":[78],"activities":[79,102],"have":[81],"wide":[82,199],"disparity":[83],"the":[85,175],"action":[86,106],"space":[87],"easy":[90],"differentiate.":[92],"Complex":[93],"daily":[94],"life":[95],"scenarios":[96],"pose":[97],"much":[98],"greater":[99],"challenges":[100],"with":[101,181,197,211],"overlap":[104],"spaces":[107],"similar":[110],"motion.":[113],"To":[114],"overcome":[115],"limitations,":[117],"we":[118],"propose":[119],"detection":[122],"model,":[123],"called":[124],"structure-aware":[125],"discriminative":[126,156],"feature":[127],"aggregation,":[128],"based":[129],"human":[131],"skeletons":[132],"extracted":[133],"from":[134],"low-resolution":[135,145],"videos.":[136],"The":[137],"use":[138,176],"skeleton":[140],"data":[141],"ensures":[142,147],"videos":[146],"low":[148,213],"hardware":[149],"computational":[151,214],"cost.":[152],"Our":[153],"model":[154,207],"captures":[155],"structural":[157],"displacements":[158],"motion":[160,166],"trends":[161],"using":[162],"unified":[163],"joint":[164],"features":[167],"projected":[168],"onto":[169],"shared":[171],"high-dimensional":[172],"space.":[173],"Particularly,":[174],"separable":[178],"convolution":[179],"combined":[180],"powerful":[183],"graph":[184],"convolutional":[185],"network":[186],"architecture":[187],"provides":[188],"improved":[189],"performance.":[190],"Extensive":[191],"experiments":[192],"five":[194],"large-scale":[195],"range":[200],"evaluation":[202],"settings":[203],"show":[204],"our":[206],"achieves":[208],"competitive":[209],"performance":[210],"extremely":[212],"complexity":[215],"runs":[217],"faster":[218],"than":[219],"existing":[220],"models.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-05T07:55:05.734416","created_date":"2025-10-10T00:00:00"}
