{"id":"https://openalex.org/W2288644211","doi":"https://doi.org/10.4108/eai.28-9-2015.2261579","title":"Support Vector Machines for Young and Older Gait Classification using Inertial Sensor Kinematics at Minimum Toe Clearance","display_name":"Support Vector Machines for Young and Older Gait Classification using Inertial Sensor Kinematics at Minimum Toe Clearance","publication_year":2015,"publication_date":"2015-12-14","ids":{"openalex":"https://openalex.org/W2288644211","doi":"https://doi.org/10.4108/eai.28-9-2015.2261579","mag":"2288644211"},"language":"en","primary_location":{"id":"doi:10.4108/eai.28-9-2015.2261579","is_oa":true,"landing_page_url":"https://doi.org/10.4108/eai.28-9-2015.2261579","pdf_url":"http://eudl.eu/pdf/10.4108/eai.28-9-2015.2261579","source":{"id":"https://openalex.org/S2736858385","display_name":"EAI Endorsed Transactions on Pervasive Health and Technology","issn_l":"2411-7145","issn":["2411-7145"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321144","host_organization_name":"Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","host_organization_lineage":["https://openalex.org/P4310321144"],"host_organization_lineage_names":["Institute for Computer Sciences, Social Informatics and Telecommunications Engineering"],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EAI Endorsed Transactions on Pervasive Health and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://eudl.eu/pdf/10.4108/eai.28-9-2015.2261579","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091461783","display_name":"Braveena K. Santhiranayagam","orcid":null},"institutions":[{"id":"https://openalex.org/I71270174","display_name":"Victoria University","ror":"https://ror.org/04j757h98","country_code":"AU","type":"education","lineage":["https://openalex.org/I71270174"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Braveena Santhiranayagam","raw_affiliation_strings":["Institute of Sport, Exercise Science and Active Living College of Sport and Exercise Science Victoria University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"Institute of Sport, Exercise Science and Active Living College of Sport and Exercise Science Victoria University, Melbourne, Australia","institution_ids":["https://openalex.org/I71270174"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087639822","display_name":"Daniel Lai","orcid":"https://orcid.org/0000-0003-3459-7709"},"institutions":[{"id":"https://openalex.org/I71270174","display_name":"Victoria University","ror":"https://ror.org/04j757h98","country_code":"AU","type":"education","lineage":["https://openalex.org/I71270174"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Daniel Lai","raw_affiliation_strings":["College of Engineering and Science Victoria University Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"College of Engineering and Science Victoria University Melbourne, Australia","institution_ids":["https://openalex.org/I71270174"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084723266","display_name":"Rezaul Begg","orcid":"https://orcid.org/0000-0002-3195-8591"},"institutions":[{"id":"https://openalex.org/I71270174","display_name":"Victoria University","ror":"https://ror.org/04j757h98","country_code":"AU","type":"education","lineage":["https://openalex.org/I71270174"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Rezaul Begg","raw_affiliation_strings":["Institute of Sport, Exercise Science and Active Living College of Sport and Exercise Science Victoria University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"Institute of Sport, Exercise Science and Active Living College of Sport and Exercise Science Victoria University, Melbourne, Australia","institution_ids":["https://openalex.org/I71270174"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091461783"],"corresponding_institution_ids":["https://openalex.org/I71270174"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.13472592,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":"7","first_page":"e2","last_page":"e2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9998999834060669,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10812","display_name":"Human Pose and Action Recognition","score":0.9793000221252441,"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/kinematics","display_name":"Kinematics","score":0.8357137441635132},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.6834821701049805},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.6490715742111206},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5209592580795288},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.514512300491333},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.494903028011322},{"id":"https://openalex.org/keywords/inertial-frame-of-reference","display_name":"Inertial frame of reference","score":0.4947499632835388},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4847218990325928},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.4495226740837097},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3939276933670044},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20219552516937256},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12297597527503967}],"concepts":[{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.8357137441635132},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.6834821701049805},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.6490715742111206},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5209592580795288},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.514512300491333},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.494903028011322},{"id":"https://openalex.org/C173386949","wikidata":"https://www.wikidata.org/wiki/Q192735","display_name":"Inertial frame of reference","level":2,"score":0.4947499632835388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4847218990325928},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.4495226740837097},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3939276933670044},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20219552516937256},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12297597527503967},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.4108/eai.28-9-2015.2261579","is_oa":true,"landing_page_url":"https://doi.org/10.4108/eai.28-9-2015.2261579","pdf_url":"http://eudl.eu/pdf/10.4108/eai.28-9-2015.2261579","source":{"id":"https://openalex.org/S2736858385","display_name":"EAI Endorsed Transactions on Pervasive Health and Technology","issn_l":"2411-7145","issn":["2411-7145"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321144","host_organization_name":"Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","host_organization_lineage":["https://openalex.org/P4310321144"],"host_organization_lineage_names":["Institute for Computer Sciences, Social Informatics and Telecommunications Engineering"],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EAI Endorsed Transactions on Pervasive Health and Technology","raw_type":"journal-article"},{"id":"pmh:oai:eprints.vu.edu.au:37066","is_oa":true,"landing_page_url":"https://vuir.vu.edu.au/37066/","pdf_url":"https://vuir.vu.edu.au/37066/","source":{"id":"https://openalex.org/S4306400215","display_name":"Victoria University Research Repository (Victoria University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I41156924","host_organization_name":"Victoria University of Wellington","host_organization_lineage":["https://openalex.org/I41156924"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:doaj.org/article:b499a2c2c278475ba6dc0d48ae6a968b","is_oa":true,"landing_page_url":"https://doaj.org/article/b499a2c2c278475ba6dc0d48ae6a968b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EAI Endorsed Transactions on Pervasive Health and Technology, Vol 2, Iss 7, Pp 1-6 (2016)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.4108/eai.28-9-2015.2261579","is_oa":true,"landing_page_url":"https://doi.org/10.4108/eai.28-9-2015.2261579","pdf_url":"http://eudl.eu/pdf/10.4108/eai.28-9-2015.2261579","source":{"id":"https://openalex.org/S2736858385","display_name":"EAI Endorsed Transactions on Pervasive Health and Technology","issn_l":"2411-7145","issn":["2411-7145"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321144","host_organization_name":"Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","host_organization_lineage":["https://openalex.org/P4310321144"],"host_organization_lineage_names":["Institute for Computer Sciences, Social Informatics and Telecommunications Engineering"],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EAI Endorsed Transactions on Pervasive Health and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2288644211.pdf","grobid_xml":"https://content.openalex.org/works/W2288644211.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1510073064","https://openalex.org/W1563088657","https://openalex.org/W1698155719","https://openalex.org/W1964357740","https://openalex.org/W2000518805","https://openalex.org/W2073497679","https://openalex.org/W2084299563","https://openalex.org/W2086099262","https://openalex.org/W2088648173","https://openalex.org/W2106452491","https://openalex.org/W2110466698","https://openalex.org/W2113354350","https://openalex.org/W2123737232","https://openalex.org/W2134407776","https://openalex.org/W2153542846","https://openalex.org/W2241799117"],"related_works":["https://openalex.org/W2133973503","https://openalex.org/W2471060339","https://openalex.org/W1590989708","https://openalex.org/W2382856674","https://openalex.org/W2148547327","https://openalex.org/W2390094925","https://openalex.org/W4226236273","https://openalex.org/W2125892956","https://openalex.org/W2130975749","https://openalex.org/W3082879976"],"abstract_inverted_index":{"The":[0,140,166],"present":[1,170],"study":[2,171],"investigates":[3],"the":[4,169,195],"inertial":[5,40,80,92,141,180],"sensor":[6,41,81,93,142,181],"kinematics":[7,82,143],"obtained":[8,56,144],"at":[9,32,83,145],"a":[10,38,66,160,178],"critical":[11],"toe-control":[12],"event,":[13],"Minimum":[14],"Toe":[15],"Clearance":[16],"(MTC),":[17],"to":[18,78,149,186,191],"classify":[19,150],"dierent":[20],"age":[21],"groups.":[22],"Fourteen":[23],"young":[24,104,151],"and":[25,46,87,96,105,129,152,193],"fourteen":[26],"older":[27,106,118,153],"adults":[28,119,154],"performed":[29],"treadmill":[30],"walking":[31,35],"their":[33],"preferred":[34],"speed,":[36],"wearing":[37],"shoe-mount":[39],"unit":[42],"measuring":[43],"tri-axial":[44],"acceleration":[45,94,114],"triaxial":[47],"angular":[48,98,130],"velocities.":[49],"Three":[50],"dimensional":[51],"(3D)":[52],"position-time":[53],"data":[54],"was":[55,76,115],"using":[57,71,108,159],"high":[58],"accurate":[59],"motion":[60,73],"capture":[61,74],"system.":[62],"MTC":[63,84],"timing":[64],"within":[65],"gait":[67,155,188,201],"cycle":[68],"(MTCTime),":[69],"calculated":[70],"3D":[72],"data,":[75],"used":[77,185],"extract":[79],"event.":[85],"Mean":[86],"standard":[88,122],"deviation":[89],"of":[90,125,168],"three":[91,97,127],"features":[95,100],"velocity":[99,131],"were":[101,135,147],"compared":[102],"between":[103],"individuals":[107],"t-tests.":[109],"Young":[110],"adults'":[111],"mean":[112],"anterior-posterior":[113],"greater":[116,136],"than":[117],"(p=0.002).":[120],"Further,":[121],"deviations":[123],"(SD)":[124],"all":[126],"accelerations":[128],"about":[132],"medio-lateral":[133],"axis":[134],"in":[137,200],"Older":[138],"adults.":[139],"MTCTime":[146],"able":[148],"with":[156],"91.2%":[157],"accuracy":[158],"Support":[161],"Vector":[162],"Machine":[163],"(SVM)":[164],"classifier.":[165],"findings":[167],"suggest":[172],"that":[173],"by":[174],"employing":[175],"SVM":[176],"techniques,":[177],"portable":[179],"system":[182],"could":[183],"be":[184],"identify":[187],"degeneration":[189],"due":[190],"ageing":[192],"has":[194],"potential":[196],"for":[197,203],"wider":[198],"applications":[199],"identification":[202],"falls-risk":[204],"minimization.":[205]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}