{"id":"https://openalex.org/W4384158613","doi":"https://doi.org/10.1109/i2mtc53148.2023.10175919","title":"Fall Detection System for Elderly (FDS-E) using Low-cost Camera Based on LSTM and OpenPose","display_name":"Fall Detection System for Elderly (FDS-E) using Low-cost Camera Based on LSTM and OpenPose","publication_year":2023,"publication_date":"2023-05-22","ids":{"openalex":"https://openalex.org/W4384158613","doi":"https://doi.org/10.1109/i2mtc53148.2023.10175919"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc53148.2023.10175919","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/i2mtc53148.2023.10175919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5015692448","display_name":"Herti Miawarni","orcid":null},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Herti Miawarni","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember,Faculty of Intelligent Electrical and Informatics Technology (F-Electics),Dept. of Electrical Engineering,Surabaya,Indonesia","Dept. of Electrical Engineering, Faculty of Intelligent Electrical and Informatics Technology (F-Electics), Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember,Faculty of Intelligent Electrical and Informatics Technology (F-Electics),Dept. of Electrical Engineering,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Faculty of Intelligent Electrical and Informatics Technology (F-Electics), Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078228177","display_name":"Tri Arief Sardjono","orcid":"https://orcid.org/0000-0002-7842-5151"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Tri Arief Sardjono","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember,Faculty of Intelligent Electrical and Informatics Technology (F-Electics),Dept. of Electrical Engineering, Dept. of Biomedical Engineering,Surabaya,Indonesia","Dept. of Electrical Engineering, Dept. of Biomedical Engineering, Faculty of Intelligent Electrical and Informatics Technology (F-Electics), Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember,Faculty of Intelligent Electrical and Informatics Technology (F-Electics),Dept. of Electrical Engineering, Dept. of Biomedical Engineering,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Dept. of Biomedical Engineering, Faculty of Intelligent Electrical and Informatics Technology (F-Electics), Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022234340","display_name":"Eko Setijadi","orcid":"https://orcid.org/0000-0002-1856-0167"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Eko Setijadi","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember,Faculty of Intelligent Electrical and Informatics Technology (F-Electics),Dept. of Electrical Engineering,Surabaya,Indonesia","Dept. of Electrical Engineering, Faculty of Intelligent Electrical and Informatics Technology (F-Electics), Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember,Faculty of Intelligent Electrical and Informatics Technology (F-Electics),Dept. of Electrical Engineering,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Faculty of Intelligent Electrical and Informatics Technology (F-Electics), Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082615463","display_name":"Wijayanti Wijayanti","orcid":null},"institutions":[{"id":"https://openalex.org/I11855966","display_name":"Diponegoro University","ror":"https://ror.org/056bjta22","country_code":"ID","type":"education","lineage":["https://openalex.org/I11855966"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Wijayanti","raw_affiliation_strings":["Universitas Diponegoro,Faculty of Engineering,Dept. of Architecture,Semarang,Indonesia","Dept. of Architecture, Faculty of Engineering, Universitas Diponegoro, Semarang, Indonesia"],"affiliations":[{"raw_affiliation_string":"Universitas Diponegoro,Faculty of Engineering,Dept. of Architecture,Semarang,Indonesia","institution_ids":["https://openalex.org/I11855966"]},{"raw_affiliation_string":"Dept. of Architecture, Faculty of Engineering, Universitas Diponegoro, Semarang, Indonesia","institution_ids":["https://openalex.org/I11855966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012595591","display_name":"Mauridhi Hery Purnomo","orcid":"https://orcid.org/0000-0002-6221-7382"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Mauridhi Hery Purnomo","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember, University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS),Faculty of Intelligent Electrical and Informatics Technology (F-Electics),Dept. of Electrical Engineering, Dept. of Computer Engineering,Surabaya,Indonesia","Dept. of Electrical Engineering, Dept. of Computer Engineering, Faculty of Intelligent Electrical and Informatics Technology (F-Electics), Institut Teknologi Sepuluh Nopember, University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS), Surabaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember, University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS),Faculty of Intelligent Electrical and Informatics Technology (F-Electics),Dept. of Electrical Engineering, Dept. of Computer Engineering,Surabaya,Indonesia","institution_ids":["https://openalex.org/I166843116"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Dept. of Computer Engineering, Faculty of Intelligent Electrical and Informatics Technology (F-Electics), Institut Teknologi Sepuluh Nopember, University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS), Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5015692448"],"corresponding_institution_ids":["https://openalex.org/I166843116"],"apc_list":null,"apc_paid":null,"fwci":0.6028,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68771985,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9993000030517578,"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":0.9955999851226807,"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/falling","display_name":"Falling (accident)","score":0.7805852293968201},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7423629760742188},{"id":"https://openalex.org/keywords/accidental","display_name":"Accidental","score":0.6566720008850098},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.6388400793075562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5730615854263306},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5188787579536438},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46954354643821716},{"id":"https://openalex.org/keywords/elderly-people","display_name":"Elderly people","score":0.46383652091026306},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4180513024330139},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4140504002571106},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.41051140427589417},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21200108528137207},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15861117839813232},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.10420882701873779},{"id":"https://openalex.org/keywords/gerontology","display_name":"Gerontology","score":0.09965956211090088}],"concepts":[{"id":"https://openalex.org/C2779079380","wikidata":"https://www.wikidata.org/wiki/Q333495","display_name":"Falling (accident)","level":2,"score":0.7805852293968201},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7423629760742188},{"id":"https://openalex.org/C126965237","wikidata":"https://www.wikidata.org/wiki/Q816335","display_name":"Accidental","level":2,"score":0.6566720008850098},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.6388400793075562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5730615854263306},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5188787579536438},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46954354643821716},{"id":"https://openalex.org/C3018697994","wikidata":"https://www.wikidata.org/wiki/Q191089","display_name":"Elderly people","level":2,"score":0.46383652091026306},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4180513024330139},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4140504002571106},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.41051140427589417},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21200108528137207},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15861117839813232},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.10420882701873779},{"id":"https://openalex.org/C74909509","wikidata":"https://www.wikidata.org/wiki/Q10387","display_name":"Gerontology","level":1,"score":0.09965956211090088},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc53148.2023.10175919","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/i2mtc53148.2023.10175919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1974477890","https://openalex.org/W2056017117","https://openalex.org/W2559085405","https://openalex.org/W2784031075","https://openalex.org/W2806443522","https://openalex.org/W2889528477","https://openalex.org/W2904528646","https://openalex.org/W2921884976","https://openalex.org/W2963855167","https://openalex.org/W2968198639","https://openalex.org/W2999149473","https://openalex.org/W3008890148","https://openalex.org/W3021765248","https://openalex.org/W3041737753","https://openalex.org/W3091542279","https://openalex.org/W3096140241","https://openalex.org/W3113028301","https://openalex.org/W3201909415","https://openalex.org/W4226265730","https://openalex.org/W4286277834","https://openalex.org/W4286433273","https://openalex.org/W6704286305","https://openalex.org/W6787440032"],"related_works":["https://openalex.org/W2388945311","https://openalex.org/W3197512118","https://openalex.org/W2389319021","https://openalex.org/W2936623278","https://openalex.org/W2380890028","https://openalex.org/W2265295875","https://openalex.org/W4200444887","https://openalex.org/W3116950120","https://openalex.org/W2005248729","https://openalex.org/W2473524598"],"abstract_inverted_index":{"Recently,":[0],"many":[1],"countries":[2],"have":[3],"been":[4],"dealing":[5],"with":[6,203],"an":[7,173],"increasing":[8],"amount":[9],"of":[10,50,61,77,85,114,149,226],"elderly":[11,21,36],"who":[12],"are":[13,46,65,195],"living":[14,117],"alone.":[15],"Unfortunately,":[16],"fall":[17,86,190],"incidents":[18],"in":[19,56,80,151,209],"the":[20,57,75,81,109,112,115,147,167],"tend":[22],"to":[23,32,94,165,221],"happen,":[24],"and":[25,53,83,88,98,111,136,157,181],"without":[26],"proper":[27],"dependable":[28],"care":[29],"would":[30],"lead":[31],"fatal":[33],"injuries.":[34],"The":[35,59,207],"must":[37],"be":[38,144],"closely":[39],"monitored":[40],"under":[41],"constant":[42],"observation.":[43],"Accidental":[44],"falls":[45,223],"a":[47,124,133,177],"leading":[48],"cause":[49],"injury,":[51],"mortality,":[52],"mobility":[54],"limitations":[55],"elderly.":[58],"expenses":[60],"national":[62],"healthcare":[63],"systems":[64],"also":[66,213],"significantly":[67],"impacted":[68],"by":[69,102,198],"accidental":[70],"falls.":[71],"These":[72],"findings":[73],"highlight":[74],"importance":[76],"investing":[78],"heavily":[79],"study":[82],"advancement":[84],"detection":[87,131],"intervention":[89],"technologies.":[90],"It":[91],"is":[92,155,212,229],"essential":[93],"recognize":[95,222],"them":[96],"early":[97],"provide":[99],"fast":[100],"assistance":[101],"developing":[103],"technologies":[104],"that":[105],"can":[106,143],"simultaneously":[107],"improve":[108],"standard":[110],"safety":[113],"elderly's":[116],"environment.":[118],"In":[119],"this":[120,141,210],"paper,":[121],"we":[122],"present":[123],"computer":[125],"vision":[126],"algorithm":[127,142],"for":[128,146],"falling":[129,153],"incident":[130],"using":[132,176,215],"low-cost":[134,178],"camera":[135,179],"deep":[137],"learning":[138],"model.":[139],"Ultimately,":[140],"used":[145,164,172],"cases":[148],"elderly,":[150],"which":[152,228],"risk":[154],"high":[156],"fatal.":[158],"Furthermore,":[159],"one":[160],"self-developed":[161],"dataset":[162],"was":[163],"validate":[166],"suggested":[168],"approach":[169,220],"experimentally.":[170],"We":[171],"OpenPose-based":[174],"feature":[175],"input":[180],"then":[182],"classified":[183],"each":[184],"event":[185],"or":[186,191],"activity":[187],"as":[188],"either":[189],"non-fall.":[192],"Classification":[193],"tasks":[194],"carried":[196],"out":[197],"Long":[199],"Short-Term":[200],"Memory":[201],"(LSTM)":[202],"multiple":[204],"validation":[205],"metrics.":[206],"LSTM":[208],"work":[211],"optimized":[214],"Bayesian":[216],"method.":[217],"Finally,":[218],"our":[219],"has":[224],"accuracy":[225],"99.5%,":[227],"distinct":[230],"from":[231],"other":[232],"past":[233],"works.":[234]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}