{"id":"https://openalex.org/W4408281229","doi":"https://doi.org/10.1109/iecon55916.2024.10905902","title":"Wider Neighborhood-Aware Attention in Improving YOLOv8n for One-Stage Human Fall Detection","display_name":"Wider Neighborhood-Aware Attention in Improving YOLOv8n for One-Stage Human Fall Detection","publication_year":2024,"publication_date":"2024-11-03","ids":{"openalex":"https://openalex.org/W4408281229","doi":"https://doi.org/10.1109/iecon55916.2024.10905902"},"language":"en","primary_location":{"id":"doi:10.1109/iecon55916.2024.10905902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon55916.2024.10905902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society","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/A5010613480","display_name":"Adri Priadana","orcid":"https://orcid.org/0000-0002-1553-7631"},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Adri Priadana","raw_affiliation_strings":["University of Ulsan,Department of Electrical, Electronic, and Computer Engineering,Ulsan,Korea"],"affiliations":[{"raw_affiliation_string":"University of Ulsan,Department of Electrical, Electronic, and Computer Engineering,Ulsan,Korea","institution_ids":["https://openalex.org/I40542001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079734356","display_name":"Duy-Linh Nguyen","orcid":"https://orcid.org/0000-0001-6184-4133"},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Duy-Linh Nguyen","raw_affiliation_strings":["University of Ulsan,Department of Electrical, Electronic, and Computer Engineering,Ulsan,Korea"],"affiliations":[{"raw_affiliation_string":"University of Ulsan,Department of Electrical, Electronic, and Computer Engineering,Ulsan,Korea","institution_ids":["https://openalex.org/I40542001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057436905","display_name":"Xuan-Thuy Vo","orcid":"https://orcid.org/0000-0002-7411-0697"},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Xuan-Thuy Vo","raw_affiliation_strings":["University of Ulsan,Department of Electrical, Electronic, and Computer Engineering,Ulsan,Korea"],"affiliations":[{"raw_affiliation_string":"University of Ulsan,Department of Electrical, Electronic, and Computer Engineering,Ulsan,Korea","institution_ids":["https://openalex.org/I40542001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010132145","display_name":"Jehwan Choi","orcid":"https://orcid.org/0009-0005-8494-2170"},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jehwan Choi","raw_affiliation_strings":["University of Ulsan,Department of Electrical, Electronic, and Computer Engineering,Ulsan,Korea"],"affiliations":[{"raw_affiliation_string":"University of Ulsan,Department of Electrical, Electronic, and Computer Engineering,Ulsan,Korea","institution_ids":["https://openalex.org/I40542001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044448641","display_name":"Kang-Hyun Jo","orcid":"https://orcid.org/0000-0002-4937-7082"},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kanghyun Jo","raw_affiliation_strings":["University of Ulsan,Department of Electrical, Electronic, and Computer Engineering,Ulsan,Korea"],"affiliations":[{"raw_affiliation_string":"University of Ulsan,Department of Electrical, Electronic, and Computer Engineering,Ulsan,Korea","institution_ids":["https://openalex.org/I40542001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5010613480"],"corresponding_institution_ids":["https://openalex.org/I40542001"],"apc_list":null,"apc_paid":null,"fwci":0.2632,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59581226,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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":0.9937999844551086,"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":0.9937999844551086,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9521999955177307,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9498000144958496,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.686698853969574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.387601375579834}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.686698853969574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.387601375579834}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon55916.2024.10905902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon55916.2024.10905902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2963420686","https://openalex.org/W2997747012","https://openalex.org/W3033610243","https://openalex.org/W3034552520","https://openalex.org/W3051167960","https://openalex.org/W3080554130","https://openalex.org/W3117876421","https://openalex.org/W3165342271","https://openalex.org/W4282981352","https://openalex.org/W4289752563","https://openalex.org/W4292387559","https://openalex.org/W4293370944","https://openalex.org/W4308083519","https://openalex.org/W4362635424","https://openalex.org/W4379984405","https://openalex.org/W4385346076","https://openalex.org/W4387883176","https://openalex.org/W4388737138","https://openalex.org/W4390190620","https://openalex.org/W4391582522","https://openalex.org/W4403770406","https://openalex.org/W6779586474"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Human":[0],"fall":[1,16,57],"detection":[2,17,58],"has":[3],"become":[4],"a":[5,44,60,83,88,94],"crucial":[6,71],"technology":[7],"in":[8,31],"bolstering":[9],"intelligent":[10],"surveillance":[11],"systems.":[12],"A":[13],"one-stage":[14,55],"human":[15,56],"model":[18],"based":[19,77,108],"on":[20,59,70,78,100,109,131],"the":[21,65,74,79,96,101,105,110,120],"YOLO":[22],"network":[23,67,103,123],"emerges":[24],"as":[25],"an":[26,132],"ideal":[27],"solution":[28],"for":[29,54],"implementation":[30],"limited":[32],"resource":[33],"environments,":[34],"supporting":[35],"real-time":[36],"operation":[37],"with":[38],"faster":[39],"speed.":[40],"This":[41],"work":[42],"introduces":[43],"Wider":[45],"Neighborhood-Aware":[46],"Attention":[47],"(WN2A)":[48],"module":[49],"to":[50,68],"enhance":[51],"YOLOv8n":[52,66,102,122],"performance":[53],"CPU":[61,136],"device.":[62],"WN2A":[63,98],"enables":[64,124],"focus":[69],"information":[72],"within":[73],"feature":[75],"map":[76],"channel":[80],"while":[81,137],"considering":[82],"wider":[84],"neighborhood":[85],"area":[86],"from":[87],"spatial":[89],"point":[90],"of":[91,115],"view.":[92],"As":[93],"result,":[95],"proposed":[97],"applied":[99],"outperforms":[104],"other":[106],"methods":[107],"mean":[111],"Average":[112],"Precision":[113],"(mAP)":[114],"two":[116],"benchmark":[117],"datasets.":[118],"Moreover,":[119],"improved":[121],"operating":[125],"at":[126],"27.38":[127],"frames":[128],"per":[129],"second":[130],"Intel":[133],"Core":[134],"i7-9750H":[135],"providing":[138],"higher":[139],"mAP.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
