{"id":"https://openalex.org/W7138294078","doi":"https://doi.org/10.48550/arxiv.2603.14409","title":"PGcGAN: Pathological Gait-Conditioned GAN for Human Gait Synthesis","display_name":"PGcGAN: Pathological Gait-Conditioned GAN for Human Gait Synthesis","publication_year":2026,"publication_date":"2026-03-15","ids":{"openalex":"https://openalex.org/W7138294078","doi":"https://doi.org/10.48550/arxiv.2603.14409"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.14409","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14409","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.14409","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129742496","display_name":"Mritula Chandrasekaran","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chandrasekaran, Mritula","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031640993","display_name":"Sanket Kachole","orcid":"https://orcid.org/0000-0002-1496-2070"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kachole, Sanket","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112962001","display_name":"J. Francik","orcid":"https://orcid.org/0009-0003-8927-2802"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Francik, Jarek","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5057370857","display_name":"Dimitrios Makris","orcid":"https://orcid.org/0000-0001-6170-0236"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Makris, Dimitrios","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.8748999834060669,"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":0.8748999834060669,"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/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.060499999672174454,"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/T11023","display_name":"Prosthetics and Rehabilitation Robotics","score":0.014999999664723873,"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/gait","display_name":"Gait","score":0.7609000205993652},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.536300003528595},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.5146999955177307},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4781999886035919},{"id":"https://openalex.org/keywords/pathological","display_name":"Pathological","score":0.41589999198913574},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.3856000006198883},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.38019999861717224}],"concepts":[{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.7609000205993652},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.620199978351593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5997999906539917},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.536300003528595},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.5146999955177307},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4781999886035919},{"id":"https://openalex.org/C207886595","wikidata":"https://www.wikidata.org/wiki/Q1456138","display_name":"Pathological","level":2,"score":0.41589999198913574},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.3856000006198883},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.38019999861717224},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3337000012397766},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.3285999894142151},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.31940001249313354},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3057999908924103},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.30570000410079956},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.3012999892234802},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.29919999837875366},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.25850000977516174},{"id":"https://openalex.org/C169453685","wikidata":"https://www.wikidata.org/wiki/Q1054066","display_name":"Central pattern generator","level":3,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.14409","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14409","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.14409","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14409","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"score":0.7537167072296143,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Pathological":[0,26,88],"gait":[1,17,35,63,83,119,130,139],"analysis":[2],"is":[3],"constrained":[4],"by":[5],"limited":[6],"and":[7,56,75,81,96,101,107,124],"variable":[8],"clinical":[9],"datasets,":[10],"which":[11],"restrict":[12],"the":[13,54,87],"modeling":[14],"of":[15],"diverse":[16],"impairments.":[18],"To":[19],"address":[20],"this":[21],"challenge,":[22],"we":[23],"propose":[24],"a":[25,68],"Gait-conditioned":[27],"Generative":[28],"Adversarial":[29],"Network":[30],"(PGcGAN)":[31],"that":[32,128],"synthesises":[33],"pathology-specific":[34],"sequences":[36,98,116],"directly":[37],"from":[38],"observed":[39],"3D":[40],"pose":[41],"keypoint":[42],"trajectories":[43],"data.":[44],"The":[45,65],"framework":[46],"incorporates":[47],"one-hot":[48],"encoded":[49],"pathology":[50],"labels":[51],"within":[52],"both":[53],"generator":[55,66],"discriminator,":[57],"enabling":[58],"controlled":[59],"synthesis":[60,131],"across":[61,121],"six":[62],"categories.":[64],"adopts":[67],"conditional":[69],"autoencoder":[70],"architecture":[71],"trained":[72],"with":[73,114],"adversarial":[74],"reconstruction":[76],"objectives":[77],"to":[78],"preserve":[79],"structural":[80],"temporal":[82],"characteristics.":[84],"Experiments":[85],"on":[86],"Gait":[89],"Dataset":[90],"demonstrate":[91],"strong":[92],"alignment":[93],"between":[94],"real":[95,112],"synthetic":[97,115],"through":[99],"PCA":[100],"t-SNE":[102],"analyses,":[103],"visual":[104],"kinematic":[105],"inspection,":[106],"downstream":[108],"classification":[109],"tasks.":[110],"Augmenting":[111],"data":[113,135],"improved":[117],"pathological":[118,138],"recognition":[120],"GRU,":[122],"LSTM,":[123],"CNN":[125],"models,":[126],"indicating":[127],"pathology-conditioned":[129],"can":[132],"effectively":[133],"support":[134],"augmentation":[136],"in":[137],"analysis.":[140]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-18T00:00:00"}