{"id":"https://openalex.org/W2020957915","doi":"https://doi.org/10.1109/jbhi.2012.2237034","title":"Triaxial Accelerometer-Based Fall Detection Method Using a Self-Constructing Cascade-AdaBoost-SVM Classifier","display_name":"Triaxial Accelerometer-Based Fall Detection Method Using a Self-Constructing Cascade-AdaBoost-SVM Classifier","publication_year":2012,"publication_date":"2012-12-31","ids":{"openalex":"https://openalex.org/W2020957915","doi":"https://doi.org/10.1109/jbhi.2012.2237034","mag":"2020957915","pmid":"https://pubmed.ncbi.nlm.nih.gov/24235113"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2012.2237034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2012.2237034","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5102175066","display_name":"Wen-Chang Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I126145234","display_name":"Chaoyang University of Technology","ror":"https://ror.org/04xwksx09","country_code":"TW","type":"education","lineage":["https://openalex.org/I126145234"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Wen-Chang Cheng","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taichung, Taiwan","[Dept. of Computer Science and Information Engineering, Chaoyang University of Technology, Taichung, Taiwan]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taichung, Taiwan","institution_ids":["https://openalex.org/I126145234"]},{"raw_affiliation_string":"[Dept. of Computer Science and Information Engineering, Chaoyang University of Technology, Taichung, Taiwan]","institution_ids":["https://openalex.org/I126145234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064633347","display_name":"Ding-Mao Jhan","orcid":null},"institutions":[{"id":"https://openalex.org/I126145234","display_name":"Chaoyang University of Technology","ror":"https://ror.org/04xwksx09","country_code":"TW","type":"education","lineage":["https://openalex.org/I126145234"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ding-Mao Jhan","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taichung, Taiwan","[Dept. of Computer Science and Information Engineering, Chaoyang University of Technology, Taichung, Taiwan]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taichung, Taiwan","institution_ids":["https://openalex.org/I126145234"]},{"raw_affiliation_string":"[Dept. of Computer Science and Information Engineering, Chaoyang University of Technology, Taichung, Taiwan]","institution_ids":["https://openalex.org/I126145234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102175066"],"corresponding_institution_ids":["https://openalex.org/I126145234"],"apc_list":null,"apc_paid":null,"fwci":5.491,"has_fulltext":false,"cited_by_count":125,"citation_normalized_percentile":{"value":0.96388253,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"17","issue":"2","first_page":"411","last_page":"419"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9997000098228455,"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":0.9997000098228455,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12740","display_name":"Gait Recognition and Analysis","score":0.9639000296592712,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7908368110656738},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.7890669107437134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7859770059585571},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.7287369966506958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6459838151931763},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6220282316207886},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6195740103721619},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.6082284450531006},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5096831321716309},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.4429143965244293},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15695354342460632}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7908368110656738},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.7890669107437134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7859770059585571},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.7287369966506958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6459838151931763},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6220282316207886},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6195740103721619},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.6082284450531006},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5096831321716309},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.4429143965244293},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15695354342460632},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000058","descriptor_name":"Accidental Falls","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000058","descriptor_name":"Accidental Falls","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000058","descriptor_name":"Accidental Falls","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018670","descriptor_name":"Monitoring, Ambulatory","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D018670","descriptor_name":"Monitoring, Ambulatory","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D018670","descriptor_name":"Monitoring, Ambulatory","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D018670","descriptor_name":"Monitoring, Ambulatory","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018670","descriptor_name":"Monitoring, Ambulatory","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018670","descriptor_name":"Monitoring, Ambulatory","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D061725","descriptor_name":"Accelerometry","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D061725","descriptor_name":"Accelerometry","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D061725","descriptor_name":"Accelerometry","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2012.2237034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2012.2237034","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:24235113","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24235113","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W179028102","https://openalex.org/W1527911497","https://openalex.org/W1535892989","https://openalex.org/W1537649241","https://openalex.org/W1689099703","https://openalex.org/W1746250870","https://openalex.org/W1967018481","https://openalex.org/W1976789043","https://openalex.org/W1988790447","https://openalex.org/W1992825118","https://openalex.org/W1993761347","https://openalex.org/W2007717933","https://openalex.org/W2012635881","https://openalex.org/W2027493128","https://openalex.org/W2040879679","https://openalex.org/W2046340070","https://openalex.org/W2054480530","https://openalex.org/W2059502783","https://openalex.org/W2067866478","https://openalex.org/W2072230828","https://openalex.org/W2081241079","https://openalex.org/W2083068858","https://openalex.org/W2092623244","https://openalex.org/W2096391442","https://openalex.org/W2097470741","https://openalex.org/W2098422462","https://openalex.org/W2106093484","https://openalex.org/W2112076978","https://openalex.org/W2121292082","https://openalex.org/W2124219819","https://openalex.org/W2126090509","https://openalex.org/W2128628418","https://openalex.org/W2130629933","https://openalex.org/W2139061288","https://openalex.org/W2139212933","https://openalex.org/W2148048965","https://openalex.org/W2148603752","https://openalex.org/W2148720043","https://openalex.org/W2159009841","https://openalex.org/W2164598857","https://openalex.org/W2168538666","https://openalex.org/W2169138660","https://openalex.org/W2170931123","https://openalex.org/W2256785085","https://openalex.org/W2297122629","https://openalex.org/W2323544099","https://openalex.org/W2539105851","https://openalex.org/W3097096317","https://openalex.org/W3145740684","https://openalex.org/W4240199375","https://openalex.org/W4240884187","https://openalex.org/W4285719527","https://openalex.org/W6632076461","https://openalex.org/W6673429763","https://openalex.org/W6676769703","https://openalex.org/W6680917920"],"related_works":["https://openalex.org/W2153719181","https://openalex.org/W2765080098","https://openalex.org/W1971748923","https://openalex.org/W2385749422","https://openalex.org/W2060986072","https://openalex.org/W2355290145","https://openalex.org/W2353465659","https://openalex.org/W3023105672","https://openalex.org/W1566155057","https://openalex.org/W2009888974"],"abstract_inverted_index":{"In":[0,96],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,31,43,75],"cascade-AdaBoost-support":[6],"vector":[7,111,155],"machine":[8],"(SVM)":[9],"classifier":[10,108],"to":[11,73,104,148],"complete":[12],"the":[13,22,39,50,60,81,85,98,106,115,119,123,130,137,142,151,158,166,170,182,192],"triaxial":[14,124,167],"accelerometer-based":[15],"fall":[16],"detection":[17,187],"method.":[18],"The":[19,144,161],"method":[20,180],"uses":[21],"acceleration":[23],"signals":[24],"of":[25,28,42,63,150],"daily":[26],"activities":[27],"volunteers":[29],"from":[30],"database":[32,117],"and":[33,59,132,135,157,172,177,186],"calculates":[34],"feature":[35,40],"values.":[36],"By":[37],"taking":[38],"values":[41],"sliding":[44],"window":[45],"as":[46,139,141,189,191],"an":[47],"input":[48],"vector,":[49],"cascade-AdaBoost-SVM":[51],"algorithm":[52,62,99],"can":[53,66,100],"self-construct":[54],"based":[55],"on":[56,136],"training":[57],"vectors,":[58],"AdaBoost":[61,107],"each":[64],"layer":[65],"automatically":[67,101],"select":[68],"several":[69],"optimal":[70,175],"weak":[71],"classifiers":[72],"form":[74],"strong":[76],"classifier,":[77],"which":[78,122],"accelerates":[79],"effectively":[80],"processing":[82],"speed":[83],"in":[84,121],"testing":[86],"phase,":[87],"requiring":[88],"only":[89],"selected":[90],"features":[91],"rather":[92],"than":[93],"all":[94],"features.":[95],"addition,":[97],"determine":[102],"whether":[103],"replace":[105],"by":[109],"support":[110,154],"machine.":[112],"We":[113],"used":[114],"UCI":[116],"for":[118],"experiment,":[120],"accelerometers":[125,168],"are,":[126],"respectively,":[127],"worn":[128],"around":[129,169],"left":[131],"right":[133],"ankles,":[134],"chest":[138,171],"well":[140,190],"waist.":[143],"results":[145,163],"are":[146],"compared":[147],"those":[149],"neural":[152],"network,":[153],"machine,":[156],"cascade-AdaBoost":[159],"classifier.":[160],"experimental":[162],"show":[164],"that":[165],"waist":[173],"produce":[174],"results,":[176],"our":[178],"proposed":[179],"has":[181],"highest":[183],"accuracy":[184],"rate":[185,188],"lowest":[193],"false":[194],"alarm":[195],"rate.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":17},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}