{"id":"https://openalex.org/W4405491261","doi":"https://doi.org/10.1109/embc53108.2024.10782598","title":"Application of TimeGAN to IMU-based Data of Upper Limb Range of Motion","display_name":"Application of TimeGAN to IMU-based Data of Upper Limb Range of Motion","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4405491261","doi":"https://doi.org/10.1109/embc53108.2024.10782598","pmid":"https://pubmed.ncbi.nlm.nih.gov/40038998"},"language":"en","primary_location":{"id":"doi:10.1109/embc53108.2024.10782598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10782598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5027883692","display_name":"Nishtha Bhagat","orcid":"https://orcid.org/0000-0002-3245-6120"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nishtha Bhagat","raw_affiliation_strings":["NYU Tandon School of Engineering,Department of Mechanical and Aerospace Engineering,Brooklyn,NY,USA,11201"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NYU Tandon School of Engineering,Department of Mechanical and Aerospace Engineering,Brooklyn,NY,USA,11201","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044508874","display_name":"Vedant Sanghavi","orcid":"https://orcid.org/0000-0003-3385-1920"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vedant Sanghavi","raw_affiliation_strings":["NYU Tandon School of Engineering,Department of Mechanical and Aerospace Engineering,Brooklyn,NY,USA,11201"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NYU Tandon School of Engineering,Department of Mechanical and Aerospace Engineering,Brooklyn,NY,USA,11201","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025338837","display_name":"Vikram Kapila","orcid":"https://orcid.org/0000-0001-5994-256X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vikram Kapila","raw_affiliation_strings":["NYU Tandon School of Engineering,Department of Mechanical and Aerospace Engineering,Brooklyn,NY,USA,11201"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NYU Tandon School of Engineering,Department of Mechanical and Aerospace Engineering,Brooklyn,NY,USA,11201","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3639,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56538751,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"2024","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9667999744415283,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9667999744415283,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9567999839782715,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9434999823570251,"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/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.7001749277114868},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5514272451400757},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.47043296694755554},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.46126821637153625},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.459170401096344},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4394722282886505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3977019786834717},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1782751977443695},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.06570231914520264}],"concepts":[{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.7001749277114868},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5514272451400757},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.47043296694755554},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.46126821637153625},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.459170401096344},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4394722282886505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3977019786834717},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1782751977443695},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.06570231914520264}],"mesh":[{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001696","descriptor_name":"Biomechanical Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001696","descriptor_name":"Biomechanical Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001696","descriptor_name":"Biomechanical Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016059","descriptor_name":"Range of Motion, Articular","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D016059","descriptor_name":"Range of Motion, Articular","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D016059","descriptor_name":"Range of Motion, Articular","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D034941","descriptor_name":"Upper Extremity","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D034941","descriptor_name":"Upper Extremity","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D034941","descriptor_name":"Upper Extremity","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc53108.2024.10782598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10782598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:40038998","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40038998","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1965715456","https://openalex.org/W2089468765","https://openalex.org/W2108341823","https://openalex.org/W2187089797","https://openalex.org/W2559110679","https://openalex.org/W2941381173","https://openalex.org/W2964182121","https://openalex.org/W2978956737","https://openalex.org/W2996088992","https://openalex.org/W3047629192","https://openalex.org/W3087767709","https://openalex.org/W3168789724","https://openalex.org/W3198165812","https://openalex.org/W4283716478","https://openalex.org/W4294583247","https://openalex.org/W4294975363","https://openalex.org/W4297832395","https://openalex.org/W4321488300","https://openalex.org/W4322505824","https://openalex.org/W4323240859","https://openalex.org/W4360971374","https://openalex.org/W4366827205","https://openalex.org/W4379468950","https://openalex.org/W4384825365","https://openalex.org/W4386336906","https://openalex.org/W4387801274","https://openalex.org/W4389262751","https://openalex.org/W4389542288","https://openalex.org/W6730424109","https://openalex.org/W6738960736","https://openalex.org/W6767782324","https://openalex.org/W6839329174"],"related_works":["https://openalex.org/W2898126303","https://openalex.org/W1827696521","https://openalex.org/W3135709989","https://openalex.org/W2173450654","https://openalex.org/W2039848376","https://openalex.org/W2621720158","https://openalex.org/W2091722187","https://openalex.org/W2130272765","https://openalex.org/W4401486264","https://openalex.org/W2006196742"],"abstract_inverted_index":{"Time-series":[0],"generative":[1],"adversarial":[2],"networks":[3],"(TimeGAN)":[4],"were":[5],"recently":[6],"developed":[7],"to":[8,57,110,115,119,186,201,219],"produce":[9,58,111,202],"synthetic":[10,59,102,113,137,159,203],"time-series":[11],"data":[12,29,63,86,104,114,121,161],"for":[13,36,64,95,234],"varied":[14],"applications.":[15],"Most":[16],"prior":[17],"uses":[18],"of":[19,40,47,87,126,133,162,199],"TimeGAN":[20,56,134,157,200],"in":[21,44,135,173,214,222],"biomechanics":[22],"and":[23,99,150,180,191,230],"rehabilitation":[24,232],"research":[25],"did":[26],"not":[27],"consider":[28],"from":[30,122,237],"inertial":[31,93],"measurement":[32],"unit":[33],"(IMU)":[34],"sensors":[35,94],"upper":[37,163,224],"limb":[38,164,225],"range":[39],"motion":[41],"(ROM),":[42],"especially":[43],"the":[45,91,131,169,174,197],"context":[46],"disability":[48,75],"simulation":[49,76],"studies.":[50],"In":[51,78],"this":[52],"paper,":[53],"we":[54,82,139],"used":[55,140],"three-dimensional":[60],"(3D)":[61],"ROM":[62,85,103,160,205,210],"elbow":[65],"flexion-extension":[66],"movement":[67,238],"performed":[68],"under":[69],"four":[70],"experimental":[71,80],"conditions":[72,183],"within":[73],"a":[74,123],"framework.":[77],"each":[79],"condition,":[81],"collected":[83],"3D":[84,204,209],"human":[88,127],"subjects":[89],"using":[90,105],"wearable":[92],"exergame":[96],"(WISE)":[97],"system":[98],"then":[100],"produced":[101,158],"TimeGAN.":[106],"Our":[107],"goal":[108],"was":[109,184],"accurate":[112],"circumvent":[116],"difficulties":[117],"related":[118],"capturing":[120],"large":[124,208],"number":[125],"subjects.":[128],"To":[129],"assess":[130,231],"performance":[132],"producing":[136],"data,":[138],"principal":[141],"component":[142],"analysis":[143],"(PCA),":[144],"t-distributed":[145],"stochastic":[146],"neighbor":[147],"embedding":[148],"(t-SNE),":[149],"discriminative":[151,171],"score.":[152],"The":[153],"results":[154],"show":[155],"that":[156],"movements":[165],"quite":[166],"well.":[167],"Specifically,":[168],"average":[170],"score":[172],"unrestricted,":[175],"restricted":[176,178,181],"shoulder,":[177],"elbow,":[179],"forearm":[182],"found":[185],"be":[187],"0.12,":[188],"0.08,":[189],"0.18,":[190],"0.11,":[192],"respectively.Clinical":[193],"Relevance-This":[194],"work":[195],"illustrates":[196],"use":[198],"data.":[206],"A":[207],"dataset":[211],"can":[212],"help":[213],"training":[215],"deep":[216],"learning":[217],"models":[218],"classify":[220],"impairments":[221],"various":[223],"joints,":[226],"guide":[227],"therapy":[228],"interventions,":[229],"progress":[233],"patients":[235],"suffering":[236],"ailments":[239],"such":[240],"as":[241],"hemiplegia.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}