{"id":"https://openalex.org/W4389230210","doi":"https://doi.org/10.1109/bsn58485.2023.10331242","title":"VirtualIMU: Generating Virtual Wearable Inertial Data from Video for Deep Learning Applications","display_name":"VirtualIMU: Generating Virtual Wearable Inertial Data from Video for Deep Learning Applications","publication_year":2023,"publication_date":"2023-10-09","ids":{"openalex":"https://openalex.org/W4389230210","doi":"https://doi.org/10.1109/bsn58485.2023.10331242"},"language":"en","primary_location":{"id":"doi:10.1109/bsn58485.2023.10331242","doi":"https://doi.org/10.1109/bsn58485.2023.10331242","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bsn58485.2023.10331242","pdf_url":null,"source":{"id":"https://openalex.org/S4306421165","display_name":"Wearable and Implantable Body Sensor Networks","issn_l":"2376-8886","issn":["2376-8886"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"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":"2023 IEEE 19th International Conference on Body Sensor Networks (BSN)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5089033353","display_name":"Ignacio Gavier","orcid":"https://orcid.org/0000-0001-7524-6951","observed_orcids":["https://orcid.org/0000-0001-7524-6951"]},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ignacio Gavier","raw_affiliation_strings":["University of Massachusetts,Manning College of Information and Computer Science,Amherst,USA","Manning College of Information and Computer Science, University of Massachusetts, Amherst, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts,Manning College of Information and Computer Science,Amherst,USA","institution_ids":["https://openalex.org/I24603500"]},{"raw_affiliation_string":"Manning College of Information and Computer Science, University of Massachusetts, Amherst, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078448880","display_name":"Yunda Liu","orcid":"https://orcid.org/0000-0001-6554-3012","observed_orcids":["https://orcid.org/0000-0001-6554-3012"]},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yunda Liu","raw_affiliation_strings":["University of Massachusetts,Manning College of Information and Computer Science,Amherst,USA","Manning College of Information and Computer Science, University of Massachusetts, Amherst, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts,Manning College of Information and Computer Science,Amherst,USA","institution_ids":["https://openalex.org/I24603500"]},{"raw_affiliation_string":"Manning College of Information and Computer Science, University of Massachusetts, Amherst, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031228774","display_name":"Sunghoon Ivan Lee","orcid":"https://orcid.org/0000-0001-5935-125X","observed_orcids":["https://orcid.org/0000-0001-5935-125X"]},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sunghoon Ivan Lee","raw_affiliation_strings":["University of Massachusetts,Manning College of Information and Computer Science,Amherst,USA","Manning College of Information and Computer Science, University of Massachusetts, Amherst, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts,Manning College of Information and Computer Science,Amherst,USA","institution_ids":["https://openalex.org/I24603500"]},{"raw_affiliation_string":"Manning College of Information and Computer Science, University of Massachusetts, Amherst, USA","institution_ids":["https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24603500"],"apc_list":null,"apc_paid":null,"fwci":0.8562,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73356715,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.448199987411499,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12290","display_name":"Human Motion and Animation","score":0.448199987411499,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.1851000040769577,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.12349999696016312,"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/inertial-measurement-unit","display_name":"inertial measurement unit","score":0.7139999866485596},{"id":"https://openalex.org/keywords/accelerometer-data","display_name":"accelerometer data","score":0.5899999737739563},{"id":"https://openalex.org/keywords/gyroscope-data","display_name":"gyroscope data","score":0.9990000128746033},{"id":"https://openalex.org/keywords/data-augmentation","display_name":"data augmentation","score":0.8970000147819519},{"id":"https://openalex.org/keywords/synthetic-data-generation","display_name":"synthetic data generation","score":0.6029999852180481},{"id":"https://openalex.org/keywords/data-collection-cost-reduction","display_name":"data collection cost reduction","score":0.5199999809265137}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7683496475219727},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6480251550674438},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46367594599723816},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.4610639214515686},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4462064802646637},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.43338069319725037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4266677498817444},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.419309139251709},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.37887129187583923},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3354756236076355},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.1560390591621399}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bsn58485.2023.10331242","doi":"https://doi.org/10.1109/bsn58485.2023.10331242","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bsn58485.2023.10331242","pdf_url":null,"source":{"id":"https://openalex.org/S4306421165","display_name":"Wearable and Implantable Body Sensor Networks","issn_l":"2376-8886","issn":["2376-8886"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"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":"2023 IEEE 19th International Conference on Body Sensor Networks (BSN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2139872083","https://openalex.org/W2148358298","https://openalex.org/W2522139665","https://openalex.org/W2559085405","https://openalex.org/W2573003069","https://openalex.org/W2604346130","https://openalex.org/W2771247593","https://openalex.org/W2914640239","https://openalex.org/W2949520286","https://openalex.org/W3083323811","https://openalex.org/W3088882399","https://openalex.org/W3108536583","https://openalex.org/W3128981305","https://openalex.org/W4235705169","https://openalex.org/W4239690541"],"related_works":["https://openalex.org/W7201843308","https://openalex.org/W7168546257","https://openalex.org/W3108536583","https://openalex.org/W7124887492","https://openalex.org/W4406775175","https://openalex.org/W7171615999","https://openalex.org/W7164853994","https://openalex.org/W4291323992","https://openalex.org/W4386322336","https://openalex.org/W7165176206"],"abstract_inverted_index":{"In":[0,87],"the":[1,148,163,179],"era":[2],"of":[3,11,30,137,156,165],"deep":[4,187],"learning,":[5],"accessibility":[6],"to":[7,38,59,75,95,151,177],"a":[8,19,92,131,153,174],"large":[9,154],"amount":[10],"wearable":[12],"Inertial":[13],"Measurement":[14],"Unit":[15],"(IMU)":[16],"data":[17,33,78,84,129,170,185],"plays":[18],"crucial":[20],"role":[21],"in":[22,186],"various":[23],"biomedical":[24],"and":[25,41,64,81,98,105,127,140],"health":[26],"applications.":[27,189],"However,":[28,68],"collection":[29],"\u2018big\u2019":[31],"IMU":[32,66,77,100,158,169,184],"is":[34],"extremely":[35],"challenging":[36],"due":[37],"its":[39],"cost":[40],"time":[42],"requirements.":[43],"To":[44],"address":[45],"this,":[46],"researchers":[47],"have":[48],"explored":[49],"using":[50],"publicly":[51],"available":[52],"videos,":[53,172],"such":[54],"as":[55],"those":[56],"on":[57],"YouTube,":[58],"extract":[60],"human":[61],"skeletal":[62,73],"models":[63,74],"synthesize":[65,96,125],"data.":[67,159],"existing":[69],"methods":[70],"for":[71],"converting":[72],"virtual":[76],"are":[79],"oversimplified":[80],"lack":[82],"systematic":[83,93],"augmentation":[85],"capabilities.":[86],"this":[88],"study,":[89],"we":[90,118,145],"propose":[91],"approach":[94],"realistic":[97],"diverse":[99,157,167],"data,":[101],"including":[102],"three-axis":[103],"accelerometer":[104,126],"gyroscope":[106,128],"measurements,":[107],"from":[108,171],"video-based":[109],"skeleton":[110],"representations.":[111],"Through":[112],"experiments":[113],"involving":[114],"seven":[115],"healthy":[116],"individuals,":[117],"demonstrate":[119],"that":[120],"our":[121],"method":[122],"can":[123],"accurately":[124],"with":[130,182],"normalized":[132],"root":[133],"mean":[134],"square":[135],"error":[136],"14.4":[138],"%":[139],"16.0":[141],"%,":[142],"respectively.":[143],"Furthermore,":[144],"qualitatively":[146],"evaluate":[147],"algorithm\u2019s":[149],"ability":[150],"generate":[152],"volume":[155],"Our":[160],"findings":[161],"affirm":[162],"potential":[164],"obtaining":[166],"synthetic":[168],"offering":[173],"promising":[175],"solution":[176],"reduce":[178],"costs":[180],"associated":[181],"collecting":[183],"learning-based":[188]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-10-26T11:51:55.731654","created_date":"2023-12-02T00:00:00"}