{"id":"https://openalex.org/W4405151089","doi":"https://doi.org/10.2478/jaiscr-2025-0005","title":"A Novel Method for Human Fall Detection Using Federated Learning and Interval-Valued Fuzzy Inference Systems","display_name":"A Novel Method for Human Fall Detection Using Federated Learning and Interval-Valued Fuzzy Inference Systems","publication_year":2024,"publication_date":"2024-12-08","ids":{"openalex":"https://openalex.org/W4405151089","doi":"https://doi.org/10.2478/jaiscr-2025-0005"},"language":"en","primary_location":{"id":"doi:10.2478/jaiscr-2025-0005","is_oa":true,"landing_page_url":"https://doi.org/10.2478/jaiscr-2025-0005","pdf_url":"https://sciendo.com/pdf/10.2478/jaiscr-2025-0005","source":{"id":"https://openalex.org/S4210223945","display_name":"Journal of Artificial Intelligence and Soft Computing Research","issn_l":"2083-2567","issn":["2083-2567","2449-6499"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317241","host_organization_name":"Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology","host_organization_lineage":["https://openalex.org/P4310317241"],"host_organization_lineage_names":["Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Artificial Intelligence and Soft Computing Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://sciendo.com/pdf/10.2478/jaiscr-2025-0005","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024660370","display_name":"Barbara P\u0229kala","orcid":"https://orcid.org/0000-0002-5501-5467"},"institutions":[{"id":"https://openalex.org/I4210109085","display_name":"University of Information Technology and Management in Rzeszow","ror":"https://ror.org/01t81sv44","country_code":"PL","type":"education","lineage":["https://openalex.org/I4210109085"]},{"id":"https://openalex.org/I98559091","display_name":"University of Rzesz\u00f3w","ror":"https://ror.org/03pfsnq21","country_code":"PL","type":"education","lineage":["https://openalex.org/I98559091"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Barbara P\u0119kala","raw_affiliation_strings":["University of Rzesz\u00f3w , al. Rejtana 16c, 35-959 Rzesz\u00f3w , Poland","University of Rzesz\u00f3w , al. Rejtana 16c, 35-959 Rzesz\u00f3w, Poland, University of Information Technology and Management, Rzesz\u00f3w , Poland"],"raw_orcid":"https://orcid.org/0000-0002-5501-5467","affiliations":[{"raw_affiliation_string":"University of Rzesz\u00f3w , al. Rejtana 16c, 35-959 Rzesz\u00f3w , Poland","institution_ids":["https://openalex.org/I98559091"]},{"raw_affiliation_string":"University of Rzesz\u00f3w , al. Rejtana 16c, 35-959 Rzesz\u00f3w, Poland, University of Information Technology and Management, Rzesz\u00f3w , Poland","institution_ids":["https://openalex.org/I4210109085"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053209420","display_name":"Jaros\u0142aw Szko\u0142a","orcid":"https://orcid.org/0000-0002-6043-3313"},"institutions":[{"id":"https://openalex.org/I98559091","display_name":"University of Rzesz\u00f3w","ror":"https://ror.org/03pfsnq21","country_code":"PL","type":"education","lineage":["https://openalex.org/I98559091"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Jaros\u0142aw Szko\u0142a","raw_affiliation_strings":["University of Rzesz\u00f3w , al. Rejtana 16c, 35-959 Rzesz\u00f3w , Poland"],"raw_orcid":"https://orcid.org/0000-0002-6043-3313","affiliations":[{"raw_affiliation_string":"University of Rzesz\u00f3w , al. Rejtana 16c, 35-959 Rzesz\u00f3w , Poland","institution_ids":["https://openalex.org/I98559091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005363908","display_name":"Piotr Grochowalski","orcid":"https://orcid.org/0000-0002-4124-412X"},"institutions":[{"id":"https://openalex.org/I98559091","display_name":"University of Rzesz\u00f3w","ror":"https://ror.org/03pfsnq21","country_code":"PL","type":"education","lineage":["https://openalex.org/I98559091"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Piotr Grochowalski","raw_affiliation_strings":["University of Rzesz\u00f3w , al. Rejtana 16c, 35-959 Rzesz\u00f3w , Poland"],"raw_orcid":"https://orcid.org/0000-0002-4124-412X","affiliations":[{"raw_affiliation_string":"University of Rzesz\u00f3w , al. Rejtana 16c, 35-959 Rzesz\u00f3w , Poland","institution_ids":["https://openalex.org/I98559091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069400562","display_name":"Dorota Gil","orcid":"https://orcid.org/0000-0001-6663-7571"},"institutions":[{"id":"https://openalex.org/I98559091","display_name":"University of Rzesz\u00f3w","ror":"https://ror.org/03pfsnq21","country_code":"PL","type":"education","lineage":["https://openalex.org/I98559091"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Dorota Gil","raw_affiliation_strings":["University of Rzesz\u00f3w , al. Rejtana 16c, 35-959 Rzesz\u00f3w , Poland"],"raw_orcid":"https://orcid.org/0000-0001-6663-7571","affiliations":[{"raw_affiliation_string":"University of Rzesz\u00f3w , al. Rejtana 16c, 35-959 Rzesz\u00f3w , Poland","institution_ids":["https://openalex.org/I98559091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086082911","display_name":"Dawid Kosior","orcid":"https://orcid.org/0000-0001-7032-2185"},"institutions":[{"id":"https://openalex.org/I98559091","display_name":"University of Rzesz\u00f3w","ror":"https://ror.org/03pfsnq21","country_code":"PL","type":"education","lineage":["https://openalex.org/I98559091"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Dawid Kosior","raw_affiliation_strings":["University of Rzesz\u00f3w , al. Rejtana 16c, 35-959 Rzesz\u00f3w , Poland"],"raw_orcid":"https://orcid.org/0000-0001-7032-2185","affiliations":[{"raw_affiliation_string":"University of Rzesz\u00f3w , al. Rejtana 16c, 35-959 Rzesz\u00f3w , Poland","institution_ids":["https://openalex.org/I98559091"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038493235","display_name":"Krzysztof Dyczkowski","orcid":"https://orcid.org/0000-0002-2897-3176"},"institutions":[{"id":"https://openalex.org/I59411706","display_name":"Adam Mickiewicz University in Pozna\u0144","ror":"https://ror.org/04g6bbq64","country_code":"PL","type":"education","lineage":["https://openalex.org/I59411706"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Krzysztof Dyczkowski","raw_affiliation_strings":["Adam Mickiewicz University , ul. Wieniawskiego 1, 61-712 Pozna\u0144 , Poland"],"raw_orcid":"https://orcid.org/0000-0002-2897-3176","affiliations":[{"raw_affiliation_string":"Adam Mickiewicz University , ul. Wieniawskiego 1, 61-712 Pozna\u0144 , Poland","institution_ids":["https://openalex.org/I59411706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5024660370"],"corresponding_institution_ids":["https://openalex.org/I4210109085","https://openalex.org/I98559091"],"apc_list":null,"apc_paid":null,"fwci":1.1796,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.8082033,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"15","issue":"1","first_page":"77","last_page":"90"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9923999905586243,"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":0.9923999905586243,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9634000062942505,"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":0.7431405186653137},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6423330307006836},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6358568668365479},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.5648424029350281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5431200265884399},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5291141867637634},{"id":"https://openalex.org/keywords/confidentiality","display_name":"Confidentiality","score":0.5076814889907837},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4946858584880829},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.4841659665107727},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.47851479053497314},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4432833790779114},{"id":"https://openalex.org/keywords/safeguarding","display_name":"Safeguarding","score":0.4426254630088806},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4359470009803772},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.3385058045387268},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33733654022216797},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.29957425594329834},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15895992517471313}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7431405186653137},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6423330307006836},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6358568668365479},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.5648424029350281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5431200265884399},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5291141867637634},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.5076814889907837},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4946858584880829},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.4841659665107727},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.47851479053497314},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4432833790779114},{"id":"https://openalex.org/C2776743756","wikidata":"https://www.wikidata.org/wiki/Q5097921","display_name":"Safeguarding","level":2,"score":0.4426254630088806},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4359470009803772},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.3385058045387268},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33733654022216797},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.29957425594329834},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15895992517471313},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2478/jaiscr-2025-0005","is_oa":true,"landing_page_url":"https://doi.org/10.2478/jaiscr-2025-0005","pdf_url":"https://sciendo.com/pdf/10.2478/jaiscr-2025-0005","source":{"id":"https://openalex.org/S4210223945","display_name":"Journal of Artificial Intelligence and Soft Computing Research","issn_l":"2083-2567","issn":["2083-2567","2449-6499"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317241","host_organization_name":"Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology","host_organization_lineage":["https://openalex.org/P4310317241"],"host_organization_lineage_names":["Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Artificial Intelligence and Soft Computing Research","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2478/jaiscr-2025-0005","is_oa":true,"landing_page_url":"https://doi.org/10.2478/jaiscr-2025-0005","pdf_url":"https://sciendo.com/pdf/10.2478/jaiscr-2025-0005","source":{"id":"https://openalex.org/S4210223945","display_name":"Journal of Artificial Intelligence and Soft Computing Research","issn_l":"2083-2567","issn":["2083-2567","2449-6499"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317241","host_organization_name":"Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology","host_organization_lineage":["https://openalex.org/P4310317241"],"host_organization_lineage_names":["Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Artificial Intelligence and Soft Computing Research","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4405151089.pdf"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W34149653","https://openalex.org/W1580809199","https://openalex.org/W1853465296","https://openalex.org/W1968630667","https://openalex.org/W1975503090","https://openalex.org/W1988053196","https://openalex.org/W1997049352","https://openalex.org/W2000301175","https://openalex.org/W2007717933","https://openalex.org/W2068402605","https://openalex.org/W2074099390","https://openalex.org/W2097470741","https://openalex.org/W2155976821","https://openalex.org/W2193464378","https://openalex.org/W2296349740","https://openalex.org/W2516506354","https://openalex.org/W2530417694","https://openalex.org/W2535838896","https://openalex.org/W2541884796","https://openalex.org/W2619675819","https://openalex.org/W2768702723","https://openalex.org/W2811187947","https://openalex.org/W2884184520","https://openalex.org/W2912213068","https://openalex.org/W3021654819","https://openalex.org/W3140104084","https://openalex.org/W3163919248","https://openalex.org/W4211007335","https://openalex.org/W4213307950","https://openalex.org/W4245152641","https://openalex.org/W4295767393","https://openalex.org/W4310136330","https://openalex.org/W4387813810","https://openalex.org/W4388101550","https://openalex.org/W4388517677","https://openalex.org/W4392734427","https://openalex.org/W4394590278","https://openalex.org/W4399525973","https://openalex.org/W4401329172","https://openalex.org/W6771536673","https://openalex.org/W6890018886"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W2374550342"],"abstract_inverted_index":{"Abstract":[0],"This":[1,134],"study":[2],"introduces":[3],"an":[4,102],"innovative":[5],"interval-valued":[6,80],"fuzzy":[7,81,201],"inference":[8,202],"system":[9,106,111,119,161],"(IFIS)":[10],"integrated":[11],"with":[12,20,118],"federated":[13,198],"learning":[14,199],"(FL)":[15],"to":[16,83,95,165],"enhance":[17],"posture":[18],"detection,":[19],"a":[21,96,137],"particular":[22],"emphasis":[23],"on":[24],"fall":[25,37],"detection":[26,38],"for":[27,148,191],"the":[28,34,56,68,88,109,122,167,173,177,189,195],"elderly.":[29],"Our":[30],"methodology":[31],"significantly":[32],"advances":[33],"accuracy":[35],"of":[36,58,70,79,124,159,169,179,183,197,214],"systems":[39],"by":[40],"addressing":[41],"key":[42],"challenges":[43],"in":[44,91,98,105,130,151,194,203,210],"existing":[45],"technologies,":[46],"such":[47],"as":[48],"false":[49,99],"alarms":[50],"and":[51,101,121,141,153,181,200,208],"data":[52,125],"privacy":[53,207],"concerns.":[54],"Through":[55],"implementation":[57],"FL,":[59],"our":[60,160,186],"model":[61],"evolves":[62],"collaboratively":[63],"over":[64],"time":[65],"while":[66],"maintaining":[67],"confidentiality":[69],"individual":[71],"data,":[72],"thereby":[73,175],"safeguarding":[74],"user":[75],"privacy.":[76],"The":[77,157],"application":[78,196],"sets":[82],"manage":[84],"uncertainty":[85],"effectively":[86],"captures":[87],"subtle":[89],"variations":[90],"human":[92],"behavior,":[93],"leading":[94],"reduction":[97],"positives":[100],"overall":[103],"increase":[104],"reliability.":[107],"Furthermore,":[108],"rule-based":[110],"is":[112,128,162],"thoroughly":[113],"explained,":[114],"highlighting":[115],"its":[116],"correlation":[117],"performance":[120],"management":[123],"uncertainty,":[126],"which":[127],"crucial":[129],"many":[131],"medical":[132],"contexts.":[133],"research":[135],"offers":[136],"scalable,":[138],"more":[139],"accurate,":[140],"privacy-preserving":[142],"solution":[143],"that":[144],"holds":[145],"significant":[146],"potential":[147],"widespread":[149],"adoption":[150],"healthcare":[152],"assisted":[154],"living":[155],"settings.":[156],"impact":[158],"substantial,":[163],"promising":[164],"reduce":[166],"incidence":[168],"fall-related":[170],"injuries":[171],"among":[172],"elderly,":[174],"enhancing":[176],"standard":[178],"care":[180],"quality":[182],"life.":[184],"Additionally,":[185],"findings":[187],"pave":[188],"way":[190],"future":[192],"advancements":[193],"various":[204],"fields":[205],"where":[206],"precision":[209],"uncertain":[211],"environments":[212],"are":[213],"paramount":[215],"importance.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-05-01T06:04:38.248271","created_date":"2025-10-10T00:00:00"}