{"id":"https://openalex.org/W4405272401","doi":"https://doi.org/10.1109/i-create62067.2024.10776386","title":"A Real-Time Acceleration-Based Frailty Detection System for Elderly Care","display_name":"A Real-Time Acceleration-Based Frailty Detection System for Elderly Care","publication_year":2024,"publication_date":"2024-08-23","ids":{"openalex":"https://openalex.org/W4405272401","doi":"https://doi.org/10.1109/i-create62067.2024.10776386"},"language":"en","primary_location":{"id":"doi:10.1109/i-create62067.2024.10776386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i-create62067.2024.10776386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 17th International Convention on Rehabilitation Engineering and Assistive Technology (i-CREATe)","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/A5029799809","display_name":"Watsawee Sansrimahachai","orcid":null},"institutions":[{"id":"https://openalex.org/I129496196","display_name":"University of the Thai Chamber of Commerce","ror":"https://ror.org/03m7a5q02","country_code":"TH","type":"education","lineage":["https://openalex.org/I129496196"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Watsawee Sansrimahachai","raw_affiliation_strings":["School of Science and Technology, University of the Thai Chamber of Commerce,System and Networking Group,Computer Science Department,Bangkok,Thailand"],"affiliations":[{"raw_affiliation_string":"School of Science and Technology, University of the Thai Chamber of Commerce,System and Networking Group,Computer Science Department,Bangkok,Thailand","institution_ids":["https://openalex.org/I129496196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070086272","display_name":"Manachai Toachoodee","orcid":null},"institutions":[{"id":"https://openalex.org/I129496196","display_name":"University of the Thai Chamber of Commerce","ror":"https://ror.org/03m7a5q02","country_code":"TH","type":"education","lineage":["https://openalex.org/I129496196"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Manachai Toachoodee","raw_affiliation_strings":["University of the Thai Chamber of Commerce,System and Networking Group, School of Science and Technology,Bangkok,Thailand"],"affiliations":[{"raw_affiliation_string":"University of the Thai Chamber of Commerce,System and Networking Group, School of Science and Technology,Bangkok,Thailand","institution_ids":["https://openalex.org/I129496196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037112544","display_name":"Ittipong Khemapech","orcid":"https://orcid.org/0000-0002-1155-5082"},"institutions":[{"id":"https://openalex.org/I129496196","display_name":"University of the Thai Chamber of Commerce","ror":"https://ror.org/03m7a5q02","country_code":"TH","type":"education","lineage":["https://openalex.org/I129496196"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Ittipong Khemapech","raw_affiliation_strings":["University of the Thai Chamber of Commerce,System and Networking Group, School of Science and Technology,Bangkok,Thailand"],"affiliations":[{"raw_affiliation_string":"University of the Thai Chamber of Commerce,System and Networking Group, School of Science and Technology,Bangkok,Thailand","institution_ids":["https://openalex.org/I129496196"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029799809"],"corresponding_institution_ids":["https://openalex.org/I129496196"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.305541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T14412","display_name":"Marine and Coastal Research","score":0.8122000098228455,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14412","display_name":"Marine and Coastal Research","score":0.8122000098228455,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T14484","display_name":"Technology and Data Analysis","score":0.7778000235557556,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.766700029373169,"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/acceleration","display_name":"Acceleration","score":0.7979357838630676},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6395852565765381},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4083375930786133},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06804099678993225}],"concepts":[{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.7979357838630676},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6395852565765381},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4083375930786133},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06804099678993225},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i-create62067.2024.10776386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i-create62067.2024.10776386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 17th International Convention on Rehabilitation Engineering and Assistive Technology (i-CREATe)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1994058370","https://openalex.org/W2042805584","https://openalex.org/W2095439262","https://openalex.org/W2132091766","https://openalex.org/W2277285951","https://openalex.org/W2319208717","https://openalex.org/W2587241709","https://openalex.org/W2797587822","https://openalex.org/W2801118647","https://openalex.org/W2806517319","https://openalex.org/W2989755480","https://openalex.org/W3081992101","https://openalex.org/W3174060615","https://openalex.org/W4285678829"],"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":{"Over":[0],"the":[1,8,15,18,24,55,61,68,72,76,136,166,169,193],"past":[2],"decade,":[3],"almost":[4],"all":[5],"countries":[6],"in":[7,13,23,50,71,75,81,156,213],"world":[9],"have":[10],"experiencing":[11],"growth":[12],"both":[14],"size":[16],"and":[17,83,105,107,116,130,150,188],"proportion":[19],"of":[20,28,63,67,78,100,114,123,168,195],"elderly":[21,73,90,154,170],"people":[22],"population.":[25],"The":[26,89,198],"number":[27],"world's":[29],"aging":[30],"population":[31],"is":[32,42,125,208],"expected":[33],"to":[34,119,127,165,210],"reach":[35],"about":[36,221],"2.1":[37],"billion":[38,49],"by":[39],"2050,":[40],"which":[41],"more":[43],"than":[44],"double":[45],"figure":[46],"from":[47],"1":[48],"2020.":[51],"This":[52],"statistic":[53],"indicates":[54,201],"fact":[56],"that":[57,144,182,202],"we":[58,138],"are":[59,111],"entering":[60],"era":[62],"\u201csuper-aged":[64],"society\u201d.":[65],"One":[66],"major":[69],"problems":[70],"comes":[74],"form":[77],"a":[79,140,172],"decline":[80],"health":[82,96],"physical":[84],"function,":[85],"generally":[86],"called":[87],"Frailty.":[88],"with":[91,216],"frailty":[92,124,132,141,152,190,205],"typically":[93],"suffer":[94],"several":[95],"issues":[97],"including":[98],"loss":[99],"muscle":[101],"mass,":[102],"poor":[103],"gait":[104,148,186],"balance":[106],"cognitive":[108],"impairment.":[109],"They":[110],"higher":[112],"risk":[113],"falls":[115],"quick":[117],"progression":[118],"dependency.":[120],"Early":[121],"identification":[122],"required":[126],"effectively":[128],"reduce":[129],"prevent":[131],"outcomes.":[133],"To":[134],"address":[135],"problem,":[137],"propose":[139],"detection":[142,206],"system":[143,159,207],"can":[145],"remotely":[146],"analyze":[147],"characteristics":[149],"detect":[151,189],"among":[153],"individuals":[155],"real-time.":[157],"Our":[158],"utilizes":[160],"an":[161],"Ultra-wideband":[162],"tag":[163],"attached":[164],"body":[167],"as":[171],"data":[173,178],"collection":[174],"device.":[175],"It":[176],"applies":[177],"stream":[179],"mining":[180],"techniques":[181],"perform":[183],"machine":[184],"learning-based":[185],"analysis":[187],"based":[191],"on":[192],"patterns":[194],"acceleration":[196],"data.":[197],"experimental":[199],"result":[200],"our":[203],"proposed":[204],"practical":[209],"be":[211],"used":[212],"real-world":[214],"settings":[215],"relatively":[217],"high":[218],"accuracy":[219],"rate,":[220],"81.8%":[222],"for":[223],"overall":[224],"accuracy.":[225]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
