{"id":"https://openalex.org/W4312585972","doi":"https://doi.org/10.1109/biorob52689.2022.9925519","title":"Ecological Validation of Machine Learning Models for Spatiotemporal Gait Analysis in Free-living Environments Using Instrumented Insoles","display_name":"Ecological Validation of Machine Learning Models for Spatiotemporal Gait Analysis in Free-living Environments Using Instrumented Insoles","publication_year":2022,"publication_date":"2022-08-21","ids":{"openalex":"https://openalex.org/W4312585972","doi":"https://doi.org/10.1109/biorob52689.2022.9925519"},"language":"en","primary_location":{"id":"doi:10.1109/biorob52689.2022.9925519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biorob52689.2022.9925519","pdf_url":null,"source":{"id":"https://openalex.org/S4363608367","display_name":"2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob)","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/A5046174279","display_name":"Ton T. H. Duong","orcid":"https://orcid.org/0000-0002-2529-5875"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ton T.H. Duong","raw_affiliation_strings":["Stevens Institute of Technology,Dept. of Mechanical Engineering,Hoboken,NJ,USA","Dept. of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology,Dept. of Mechanical Engineering,Hoboken,NJ,USA","institution_ids":["https://openalex.org/I108468826"]},{"raw_affiliation_string":"Dept. of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ, USA","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026198591","display_name":"David Uher","orcid":"https://orcid.org/0000-0003-4360-8801"},"institutions":[{"id":"https://openalex.org/I2799503643","display_name":"Columbia University Irving Medical Center","ror":"https://ror.org/01esghr10","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799503643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Uher","raw_affiliation_strings":["Columbia University Irving Medical Center,Dept. of Rehabilitation & Regenerative Medicine,New York,NY,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University Irving Medical Center,Dept. of Rehabilitation & Regenerative Medicine,New York,NY,USA","institution_ids":["https://openalex.org/I2799503643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017185598","display_name":"Jacqueline Montes","orcid":"https://orcid.org/0000-0002-7357-0819"},"institutions":[{"id":"https://openalex.org/I2799503643","display_name":"Columbia University Irving Medical Center","ror":"https://ror.org/01esghr10","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799503643"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jacqueline Montes","raw_affiliation_strings":["Columbia University Irving Medical Center,Dept. of Rehabilitation & Regenerative Medicine,New York,NY,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University Irving Medical Center,Dept. of Rehabilitation & Regenerative Medicine,New York,NY,USA","institution_ids":["https://openalex.org/I2799503643"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086321664","display_name":"Damiano Zanotto","orcid":"https://orcid.org/0000-0003-3514-6889"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Damiano Zanotto","raw_affiliation_strings":["Stevens Institute of Technology,Dept. of Mechanical Engineering,Hoboken,NJ,USA","Dept. of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology,Dept. of Mechanical Engineering,Hoboken,NJ,USA","institution_ids":["https://openalex.org/I108468826"]},{"raw_affiliation_string":"Dept. of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ, USA","institution_ids":["https://openalex.org/I108468826"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35344828,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/3612","display_name":"Physical Therapy, Sports Therapy and Rehabilitation"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/3612","display_name":"Physical Therapy, Sports Therapy and Rehabilitation"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9915000200271606,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9890000224113464,"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/stride","display_name":"STRIDE","score":0.7525237202644348},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.7399455308914185},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.6467217206954956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.512554407119751},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47577348351478577},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.45552074909210205},{"id":"https://openalex.org/keywords/effect-of-gait-parameters-on-energetic-cost","display_name":"Effect of gait parameters on energetic cost","score":0.45443975925445557},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.44991442561149597},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.4498162567615509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42903009057044983},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.4168441891670227},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.36844807863235474},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19684413075447083},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.16004297137260437},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1030149757862091}],"concepts":[{"id":"https://openalex.org/C18007350","wikidata":"https://www.wikidata.org/wiki/Q7394815","display_name":"STRIDE","level":2,"score":0.7525237202644348},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.7399455308914185},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.6467217206954956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.512554407119751},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47577348351478577},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.45552074909210205},{"id":"https://openalex.org/C20220851","wikidata":"https://www.wikidata.org/wiki/Q18206750","display_name":"Effect of gait parameters on energetic cost","level":4,"score":0.45443975925445557},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.44991442561149597},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.4498162567615509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42903009057044983},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.4168441891670227},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.36844807863235474},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19684413075447083},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.16004297137260437},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1030149757862091},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/biorob52689.2022.9925519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biorob52689.2022.9925519","pdf_url":null,"source":{"id":"https://openalex.org/S4363608367","display_name":"2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/12"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1588401315","https://openalex.org/W1840528038","https://openalex.org/W2011702367","https://openalex.org/W2015494671","https://openalex.org/W2055117281","https://openalex.org/W2081833615","https://openalex.org/W2082124972","https://openalex.org/W2105382574","https://openalex.org/W2132691216","https://openalex.org/W2140944144","https://openalex.org/W2155952367","https://openalex.org/W2343401530","https://openalex.org/W2349408014","https://openalex.org/W2493846716","https://openalex.org/W2507174161","https://openalex.org/W2520323573","https://openalex.org/W2531952511","https://openalex.org/W2554960300","https://openalex.org/W2560253279","https://openalex.org/W2591096430","https://openalex.org/W2730953469","https://openalex.org/W2794934809","https://openalex.org/W2795694896","https://openalex.org/W2883411829","https://openalex.org/W2886368623","https://openalex.org/W2944134122","https://openalex.org/W2972224333","https://openalex.org/W2995509945","https://openalex.org/W3018853031","https://openalex.org/W3033779083","https://openalex.org/W3035321499","https://openalex.org/W3037734338","https://openalex.org/W3039321039","https://openalex.org/W3090125267","https://openalex.org/W3093678754","https://openalex.org/W3101801952","https://openalex.org/W3106079803","https://openalex.org/W3107368598","https://openalex.org/W3159109236","https://openalex.org/W3201183996","https://openalex.org/W3206132326","https://openalex.org/W3216794426","https://openalex.org/W4200401698","https://openalex.org/W4200495080","https://openalex.org/W4205126665","https://openalex.org/W6635310694"],"related_works":["https://openalex.org/W2133973503","https://openalex.org/W3156454664","https://openalex.org/W2390631805","https://openalex.org/W4236844032","https://openalex.org/W1995781834","https://openalex.org/W3205608944","https://openalex.org/W2803913909","https://openalex.org/W2729676947","https://openalex.org/W4379933302","https://openalex.org/W2328573683"],"abstract_inverted_index":{"Continuous":[0],"gait":[1,29,41,77,163,203],"monitoring":[2],"may":[3,54],"aid":[4],"the":[5,16,34,167,180],"early":[6],"diagnosis":[7],"of":[8,18,33,38,102,192],"neurological":[9],"and":[10,13,65,110,128,158,196],"musculoskeletal":[11],"conditions":[12,81,153],"help":[14],"validate":[15],"effectiveness":[17],"new":[19],"treatments.":[20],"However,":[21],"consumer-grade":[22],"activity":[23],"trackers":[24],"can":[25],"only":[26],"capture":[27],"summary":[28],"metrics,":[30],"whereas":[31],"most":[32],"research-grade":[35],"devices":[36],"capable":[37,101],"estimating":[39,104],"fine-grained":[40],"parameters":[42,78,164,182],"are":[43],"too":[44],"cumbersome":[45],"for":[46,97,156,160,200],"extended-time":[47],"use":[48],"in":[49,79,113,134,151],"real-life":[50,114],"environments.":[51,115],"Instrumented":[52],"footwear":[53],"offer":[55],"a":[56,174],"promising":[57],"alternative":[58],"tool":[59],"owing":[60],"to":[61,73,87],"their":[62,71],"good":[63],"accuracy":[64,142],"relatively":[66],"small":[67],"form":[68],"factor,":[69],"but":[70],"ability":[72],"detect":[74],"stride-by-stride":[75],"spatial":[76],"free-living":[80,135,201],"has":[82],"not":[83],"been":[84],"well":[85],"explored":[86],"date.":[88],"This":[89],"work":[90],"describes":[91],"machine":[92],"learning":[93],"(ML)":[94],"inference":[95,198],"models":[96,139,169,199],"an":[98],"insole":[99],"system":[100],"accurately":[103],"stride":[105],"time":[106],"(ST),":[107],"length":[108],"(SL),":[109],"velocity":[111],"(SV)":[112],"Functional":[116],"validity":[117,131],"was":[118,132],"assessed":[119],"through":[120],"unstructured":[121,152],"tests":[122],"including":[123],"straight-line":[124],"walking,":[125,127],"curve":[126],"turns.":[129],"Ecological":[130],"examined":[133],"conditions.":[136],"The":[137],"ML":[138,168,197],"demonstrated":[140],"better":[141],"than":[143],"conventional":[144,185],"data":[145],"processing":[146],"methods":[147],"(mean":[148],"absolute":[149],"errors":[150],"were":[154],"3.55%":[155],"SL":[157],"3.59%":[159],"SV).":[161],"Real-life":[162],"estimated":[165],"with":[166,173,179,184],"showed":[170],"stronger":[171],"associations":[172],"standardized":[175],"walking":[176],"test":[177],"compared":[178],"same":[181],"obtained":[183],"methods.":[186],"These":[187],"results":[188],"indicate":[189],"proof-of-concept":[190],"feasibility":[191],"using":[193],"instrumented":[194],"insoles":[195],"spatiotemporal":[202],"analysis.":[204]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}