{"id":"https://openalex.org/W7140902683","doi":"https://doi.org/10.48550/arxiv.2603.24434","title":"The Gait Signature of Frailty: Transfer Learning based Deep Gait Models for Scalable Frailty Assessment","display_name":"The Gait Signature of Frailty: Transfer Learning based Deep Gait Models for Scalable Frailty Assessment","publication_year":2026,"publication_date":"2026-03-25","ids":{"openalex":"https://openalex.org/W7140902683","doi":"https://doi.org/10.48550/arxiv.2603.24434"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.24434","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.24434","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.24434","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031308659","display_name":"Laura T. McDaniel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"McDaniel, Laura","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061612117","display_name":"Basudha Pal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pal, Basudha","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120571069","display_name":"Crystal Szczesny","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Szczesny, Crystal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130643722","display_name":"Yuxiang Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Yuxiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Wang, Zhaoyang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zhaoyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Roemmich, Ryan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Roemmich, Ryan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Abadir, Peter","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abadir, Peter","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Chellappa, Rama","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chellappa, Rama","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11011","display_name":"Frailty in Older Adults","score":0.49050000309944153,"subfield":{"id":"https://openalex.org/subfields/2717","display_name":"Geriatrics and Gerontology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11011","display_name":"Frailty in Older Adults","score":0.49050000309944153,"subfield":{"id":"https://openalex.org/subfields/2717","display_name":"Geriatrics and Gerontology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.3303999900817871,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.033399999141693115,"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/interpretability","display_name":"Interpretability","score":0.8636999726295471},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.7692000269889832},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5521000027656555},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5001999735832214},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43299999833106995},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.42309999465942383},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.39100000262260437},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.3790000081062317}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8636999726295471},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.7692000269889832},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6111000180244446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5999000072479248},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5521000027656555},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5396000146865845},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5001999735832214},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43299999833106995},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.42309999465942383},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.39100000262260437},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.3790000081062317},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3693000078201294},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.36160001158714294},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.35899999737739563},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.3458000123500824},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3418999910354614},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3402999937534332},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.3278000056743622},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.3255999982357025},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.25929999351501465}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.24434","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.24434","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.24434","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.24434","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.498058557510376,"display_name":"Reduced inequalities"},{"id":"https://metadata.un.org/sdg/16","score":0.47104713320732117,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Frailty":[0],"is":[1,31],"a":[2,32,63,74,83,219],"condition":[3],"in":[4,27,82],"aging":[5,238],"medicine":[6],"characterized":[7],"by":[8,58],"diminished":[9],"physiological":[10],"reserve":[11],"and":[12,23,62,92,124,128,162,181,201,222,228,240],"increased":[13],"vulnerability":[14],"to":[15,25,51,157,199],"stressors.":[16],"However,":[17],"frailty":[18,53,78,90,114,191,226],"assessment":[19,54,227],"remains":[20],"subjective,":[21],"heterogeneous,":[22],"difficult":[24],"scale":[26],"clinical":[28,241],"practice.":[29,242],"Gait":[30],"sensitive":[33],"marker":[34],"of":[35,47,65,174,209,232],"biological":[36],"aging,":[37],"capturing":[38],"multisystem":[39],"decline":[40],"before":[41],"overt":[42],"disability.":[43],"Yet":[44],"the":[45,88,230],"application":[46],"modern":[48,233],"computer":[49],"vision":[50],"gait-based":[52,215],"has":[55],"been":[56],"limited":[57,117],"small,":[59],"imbalanced":[60],"datasets":[61],"lack":[64],"clinically":[66,84,189],"representative":[67],"benchmarks.":[68],"In":[69],"this":[70,101],"work,":[71],"we":[72,103],"introduce":[73],"publicly":[75],"available":[76],"silhouette-based":[77],"gait":[79,107,151],"dataset":[80],"collected":[81],"realistic":[85],"setting,":[86],"spanning":[87],"full":[89,167],"spectrum":[91],"including":[93],"older":[94],"adults":[95],"who":[96],"use":[97],"walking":[98],"aids.":[99],"Using":[100],"dataset,":[102],"evaluate":[104],"how":[105,136],"pretrained":[106,137],"recognition":[108],"models":[109],"can":[110],"be":[111],"adapted":[112],"for":[113,225],"classification":[115],"under":[116],"data":[118],"conditions.":[119],"We":[120],"study":[121],"both":[122],"convolutional":[123],"hybrid":[125],"attention-based":[126],"architectures":[127],"show":[129],"that":[130],"predictive":[131],"performance":[132,164],"depends":[133],"primarily":[134],"on":[135],"representations":[138,152],"are":[139],"transferred":[140],"rather":[141],"than":[142,165],"architectural":[143],"complexity":[144],"alone.":[145],"Across":[146],"models,":[147],"selectively":[148],"freezing":[149],"low-level":[150],"while":[153],"allowing":[154],"higher-level":[155],"features":[156],"adapt":[158],"yields":[159],"more":[160],"stable":[161],"generalizable":[163],"either":[166],"fine-tuning":[168],"or":[169],"rigid":[170],"freezing.":[171],"Conservative":[172],"handling":[173],"class":[175],"imbalance":[176],"further":[177],"improves":[178],"training":[179],"stability,":[180],"combining":[182],"complementary":[183],"learning":[184,217],"objectives":[185],"enhances":[186],"discrimination":[187],"between":[188],"adjacent":[190],"states.":[192],"Interpretability":[193],"analyses":[194],"reveal":[195],"consistent":[196],"model":[197],"attention":[198],"lower-limb":[200],"pelvic":[202],"regions,":[203],"aligning":[204],"with":[205],"established":[206],"biomechanical":[207],"correlates":[208],"frailty.":[210],"Together,":[211],"these":[212],"findings":[213],"establish":[214],"representation":[216],"as":[218],"scalable,":[220],"non-invasive,":[221],"interpretable":[223],"framework":[224],"support":[229],"integration":[231],"biometric":[234],"modeling":[235],"approaches":[236],"into":[237],"research":[239]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-27T00:00:00"}
