{"id":"https://openalex.org/W4415125114","doi":"https://doi.org/10.1109/access.2025.3620430","title":"HyperFallNet: Human Fall Detection in Real-Time Using YOLOv13 With Hypergraph-Enhanced Correlation Learning","display_name":"HyperFallNet: Human Fall Detection in Real-Time Using YOLOv13 With Hypergraph-Enhanced Correlation Learning","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415125114","doi":"https://doi.org/10.1109/access.2025.3620430"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3620430","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3620430","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.2025.3620430","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062565743","display_name":"Yousef Sanjalawe","orcid":"https://orcid.org/0000-0002-4442-1865"},"institutions":[{"id":"https://openalex.org/I114972647","display_name":"University of Jordan","ror":"https://ror.org/05k89ew48","country_code":"JO","type":"education","lineage":["https://openalex.org/I114972647"]},{"id":"https://openalex.org/I2800358669","display_name":"King Abdullah University Hospital","ror":"https://ror.org/02f6hdc06","country_code":"JO","type":"healthcare","lineage":["https://openalex.org/I2800358669"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Yousef Sanjalawe","raw_affiliation_strings":["Department of Information Technology, King Abdullah II School for Information Technology, The University of Jordan (JU), Amman, Jordan","Department of Information Technology, King Abdullah II School for Information Technology, University of Jordan (JU), Amman, Jordan"],"raw_orcid":"https://orcid.org/0000-0002-4442-1865","affiliations":[{"raw_affiliation_string":"Department of Information Technology, King Abdullah II School for Information Technology, The University of Jordan (JU), Amman, Jordan","institution_ids":["https://openalex.org/I114972647","https://openalex.org/I2800358669"]},{"raw_affiliation_string":"Department of Information Technology, King Abdullah II School for Information Technology, University of Jordan (JU), Amman, Jordan","institution_ids":["https://openalex.org/I114972647"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024473397","display_name":"Sharif Naser Makhadmeh","orcid":"https://orcid.org/0000-0002-2894-7998"},"institutions":[{"id":"https://openalex.org/I114972647","display_name":"University of Jordan","ror":"https://ror.org/05k89ew48","country_code":"JO","type":"education","lineage":["https://openalex.org/I114972647"]},{"id":"https://openalex.org/I2800358669","display_name":"King Abdullah University Hospital","ror":"https://ror.org/02f6hdc06","country_code":"JO","type":"healthcare","lineage":["https://openalex.org/I2800358669"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Sharif Naser Makhadmeh","raw_affiliation_strings":["Department of Information Technology, King Abdullah II School for Information Technology, The University of Jordan (JU), Amman, Jordan","Department of Information Technology, King Abdullah II School for Information Technology, University of Jordan (JU), Amman, Jordan"],"raw_orcid":"https://orcid.org/0000-0002-2894-7998","affiliations":[{"raw_affiliation_string":"Department of Information Technology, King Abdullah II School for Information Technology, The University of Jordan (JU), Amman, Jordan","institution_ids":["https://openalex.org/I114972647","https://openalex.org/I2800358669"]},{"raw_affiliation_string":"Department of Information Technology, King Abdullah II School for Information Technology, University of Jordan (JU), Amman, Jordan","institution_ids":["https://openalex.org/I114972647"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021455872","display_name":"Muder Almiani","orcid":"https://orcid.org/0000-0003-0021-2364"},"institutions":[{"id":"https://openalex.org/I179311214","display_name":"Gulf University for Science & Technology","ror":"https://ror.org/04d9rzd67","country_code":"KW","type":"education","lineage":["https://openalex.org/I179311214"]}],"countries":["KW"],"is_corresponding":false,"raw_author_name":"Muder Almiani","raw_affiliation_strings":["Accounting and MIS Department, Gulf University for Science and Technology, Hawally, Kuwait","Accounting and MIS Department, Gulf University for Science and Technology, Kuwait"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Accounting and MIS Department, Gulf University for Science and Technology, Hawally, Kuwait","institution_ids":["https://openalex.org/I179311214"]},{"raw_affiliation_string":"Accounting and MIS Department, Gulf University for Science and Technology, Kuwait","institution_ids":["https://openalex.org/I179311214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027575640","display_name":"Salam Al-E\u2019mari","orcid":"https://orcid.org/0000-0002-2134-4158"},"institutions":[{"id":"https://openalex.org/I36622005","display_name":"Petra University","ror":"https://ror.org/039d9es10","country_code":"JO","type":"education","lineage":["https://openalex.org/I36622005"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Salam Al-E\u2019Mari","raw_affiliation_strings":["Information Security Department, Faculty of Information Technology, University of Petra, Amman, Jordan"],"raw_orcid":"https://orcid.org/0000-0002-2134-4158","affiliations":[{"raw_affiliation_string":"Information Security Department, Faculty of Information Technology, University of Petra, Amman, Jordan","institution_ids":["https://openalex.org/I36622005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"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":5.6097,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.96310557,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"13","issue":null,"first_page":"177111","last_page":"177126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9912999868392944,"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":0.9912999868392944,"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":0.9086999893188477,"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/benchmark","display_name":"Benchmark (surveying)","score":0.6697999835014343},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6223000288009644},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5170999765396118},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5051000118255615},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.47350001335144043},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.47350001335144043},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.43540000915527344},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"Semantic gap","score":0.4212999939918518}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8234000205993652},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6697999835014343},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6223000288009644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5902000069618225},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5216000080108643},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5170999765396118},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5051000118255615},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.47350001335144043},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.47350001335144043},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43540000915527344},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.4212999939918518},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4108000099658966},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37630000710487366},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.3727000057697296},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.359499990940094},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3379000127315521},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.31790000200271606},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2976999878883362},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C187303228","wikidata":"https://www.wikidata.org/wiki/Q867330","display_name":"Cyclomatic complexity","level":3,"score":0.2784000039100647},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.26460000872612}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3620430","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3620430","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:doaj.org/article:6c5e985a006b4775b36f05c7242bd744","is_oa":true,"landing_page_url":"https://doaj.org/article/6c5e985a006b4775b36f05c7242bd744","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 13, Pp 177111-177126 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3620430","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3620430","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":[{"id":"https://openalex.org/F4320325365","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W4296143945","https://openalex.org/W4391847435","https://openalex.org/W4392939809","https://openalex.org/W4394932852","https://openalex.org/W4400020460","https://openalex.org/W4400421894","https://openalex.org/W4401051167","https://openalex.org/W4402659838","https://openalex.org/W4403100977","https://openalex.org/W4404294029","https://openalex.org/W4406087545","https://openalex.org/W4406382315","https://openalex.org/W4407358281","https://openalex.org/W4408100115","https://openalex.org/W4408164402","https://openalex.org/W4408488643","https://openalex.org/W4408838738","https://openalex.org/W4409444907","https://openalex.org/W4409979137","https://openalex.org/W4410281704","https://openalex.org/W4411222076","https://openalex.org/W4411926017"],"related_works":[],"abstract_inverted_index":{"Falls":[0],"remain":[1],"a":[2,69,133,153,190],"leading":[3],"cause":[4],"of":[5,110,195],"injury-related":[6],"morbidity":[7],"among":[8,142],"elderly":[9],"populations":[10],"and":[11,37,81,102,145,148,175,177,182,209,218,233],"vulnerable":[12],"individuals":[13],"in":[14,20,84,105,206],"smart":[15],"living":[16],"environments.":[17],"Despite":[18],"advances":[19],"deep":[21],"learning-based":[22],"fall":[23,75,106,203,235],"detection":[24,35,76,204,236],"systems,":[25],"existing":[26],"methods":[27],"often":[28],"suffer":[29],"from":[30,95],"trade-offs":[31],"between":[32,99],"real-time":[33,53],"efficiency,":[34],"accuracy,":[36],"semantic":[38,155],"interpretability.":[39],"Most":[40],"state-of-the-art":[41],"models":[42,101,205],"either":[43],"rely":[44],"on":[45,170],"computationally":[46],"expensive":[47],"architectures":[48],"that":[49,137,158,187],"are":[50],"impractical":[51],"for":[52,79,230],"edge":[54],"deployment":[55],"or":[56],"cannot":[57],"model":[58,213],"complex":[59],"fall-related":[60],"spatial":[61,140],"cues.":[62],"This":[63],"paper":[64,112],"introduces":[65],"<italic":[66,130,150],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[67,131,151],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">HyperFallNet</i>,":[68],"novel":[70],"lightweight":[71],"yet":[72],"semantically":[73],"rich":[74],"framework":[77],"designed":[78],"fast":[80],"accurate":[82],"inference":[83],"real-world":[85],"surveillance":[86],"scenarios.":[87],"The":[88,108],"core":[89],"motivation":[90],"behind":[91],"this":[92,111,116],"work":[93],"stems":[94],"the":[96,164],"persistent":[97],"gap":[98,117],"high-speed":[100],"context-aware":[103],"reasoning":[104],"detection.":[107],"objective":[109],"is":[113],"to":[114],"bridge":[115],"by":[118],"proposing":[119],"an":[120],"enhanced":[121],"YOLOv13-based":[122],"pipeline":[123],"augmented":[124],"with":[125],"two":[126,171],"architectural":[127],"innovations:":[128],"(1)":[129],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">HyperACE</i>,":[132],"hypergraph-assisted":[134],"attention":[135],"module":[136],"captures":[138],"high-order":[139],"dependencies":[141],"human":[143],"joints":[144],"body":[146],"posture;":[147],"(2)":[149],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">FullPAD</i>,":[152],"pipeline-aware":[154],"injection":[156],"mechanism":[157],"ensures":[159],"refined":[160],"feature":[161],"propagation":[162],"across":[163,222],"network":[165],"hierarchy.":[166],"We":[167],"evaluate":[168],"HyperFallNet":[169,188],"benchmark":[172],"datasets,":[173],"CUCAFall":[174],"DiverseFALL10500,":[176],"conduct":[178],"rigorous":[179],"ablation":[180],"studies":[181],"statistical":[183],"tests.":[184],"Results":[185],"show":[186],"achieves":[189],"mean":[191],"average":[192],"precision":[193],"(mAP@0.5)":[194],"0.982":[196],"while":[197],"operating":[198],"at":[199],"131.2":[200],"FPS\u2014surpassing":[201],"recent":[202],"both":[207],"accuracy":[208],"speed.":[210],"Additionally,":[211],"our":[212],"demonstrates":[214],"statistically":[215],"significant":[216],"improvements":[217],"stable":[219],"confidence":[220],"intervals":[221],"key":[223],"metrics.":[224],"These":[225],"findings":[226],"highlight":[227],"HyperFallNet\u2019s":[228],"suitability":[229],"real-time,":[231],"privacy-aware,":[232],"resource-constrained":[234],"applications.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-14T00:00:00"}
