{"id":"https://openalex.org/W3202793261","doi":"https://doi.org/10.1587/transinf.2020zdp7502","title":"Health Indicator Estimation by Video-Based Gait Analysis","display_name":"Health Indicator Estimation by Video-Based Gait Analysis","publication_year":2021,"publication_date":"2021-09-30","ids":{"openalex":"https://openalex.org/W3202793261","doi":"https://doi.org/10.1587/transinf.2020zdp7502","mag":"3202793261"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2020zdp7502","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2020zdp7502","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E104.D/10/E104.D_2020ZDP7502/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E104.D/10/E104.D_2020ZDP7502/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061263751","display_name":"Ruochen Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138169","display_name":"Osaka Research Institute of Industrial Science and Technology","ror":"https://ror.org/03r38cy24","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210138169"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ruochen LIAO","raw_affiliation_strings":["Institute of Scientific and Industrial Research, Osaka University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Scientific and Industrial Research, Osaka University","institution_ids":["https://openalex.org/I4210138169","https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110441101","display_name":"Kousuke Moriwaki","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138169","display_name":"Osaka Research Institute of Industrial Science and Technology","ror":"https://ror.org/03r38cy24","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210138169"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kousuke MORIWAKI","raw_affiliation_strings":["Institute of Scientific and Industrial Research, Osaka University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Scientific and Industrial Research, Osaka University","institution_ids":["https://openalex.org/I4210138169","https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010680369","display_name":"Yasushi Makihara","orcid":"https://orcid.org/0000-0002-7071-4872"},"institutions":[{"id":"https://openalex.org/I4210138169","display_name":"Osaka Research Institute of Industrial Science and Technology","ror":"https://ror.org/03r38cy24","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210138169"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasushi MAKIHARA","raw_affiliation_strings":["Institute of Scientific and Industrial Research, Osaka University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Scientific and Industrial Research, Osaka University","institution_ids":["https://openalex.org/I4210138169","https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012748357","display_name":"Daigo Muramatsu","orcid":"https://orcid.org/0000-0002-0053-4868"},"institutions":[{"id":"https://openalex.org/I4210138169","display_name":"Osaka Research Institute of Industrial Science and Technology","ror":"https://ror.org/03r38cy24","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210138169"]},{"id":"https://openalex.org/I6030618","display_name":"Seikei University","ror":"https://ror.org/03ptaj492","country_code":"JP","type":"education","lineage":["https://openalex.org/I6030618"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daigo MURAMATSU","raw_affiliation_strings":["Faculty of Science and Technology, Seikei University","Institute of Scientific and Industrial Research, Osaka University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, Seikei University","institution_ids":["https://openalex.org/I6030618"]},{"raw_affiliation_string":"Institute of Scientific and Industrial Research, Osaka University","institution_ids":["https://openalex.org/I4210138169","https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002778538","display_name":"Noriko Takemura","orcid":"https://orcid.org/0000-0003-1977-4690"},"institutions":[{"id":"https://openalex.org/I4210138169","display_name":"Osaka Research Institute of Industrial Science and Technology","ror":"https://ror.org/03r38cy24","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210138169"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Noriko TAKEMURA","raw_affiliation_strings":["Institute of Scientific and Industrial Research, Osaka University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Scientific and Industrial Research, Osaka University","institution_ids":["https://openalex.org/I4210138169","https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040773064","display_name":"Yasushi Yagi","orcid":"https://orcid.org/0000-0002-3546-8071"},"institutions":[{"id":"https://openalex.org/I4210138169","display_name":"Osaka Research Institute of Industrial Science and Technology","ror":"https://ror.org/03r38cy24","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210138169"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasushi YAGI","raw_affiliation_strings":["Institute of Scientific and Industrial Research, Osaka University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Scientific and Industrial Research, Osaka University","institution_ids":["https://openalex.org/I4210138169","https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1655,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.4455534,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"E104.D","issue":"10","first_page":"1678","last_page":"1690"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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/T11824","display_name":"Injury Epidemiology and Prevention","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9866999983787537,"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/computer-science","display_name":"Computer science","score":0.8412730693817139},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.7289549112319946},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6392345428466797},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.567216157913208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5307576656341553},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4767400026321411},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.444876104593277},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.44048476219177246},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3880019187927246},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3674081563949585},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3322179317474365},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09064775705337524}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8412730693817139},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.7289549112319946},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6392345428466797},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.567216157913208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5307576656341553},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4767400026321411},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.444876104593277},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.44048476219177246},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3880019187927246},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3674081563949585},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3322179317474365},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09064775705337524},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2020zdp7502","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2020zdp7502","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E104.D/10/E104.D_2020ZDP7502/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2020zdp7502","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2020zdp7502","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E104.D/10/E104.D_2020ZDP7502/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Clean water and sanitation","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/6"}],"awards":[{"id":"https://openalex.org/G1685303090","display_name":null,"funder_award_id":"S004541","funder_id":"https://openalex.org/F4320320912","funder_display_name":"Ministry of Education, Culture, Sports, Science and Technology"},{"id":"https://openalex.org/G2364705238","display_name":null,"funder_award_id":"19H05692","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G2432819900","display_name":null,"funder_award_id":"19H05690","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G5298425231","display_name":null,"funder_award_id":"JP18H04115","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320338243","display_name":"JST-Mirai Program","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3202793261.pdf","grobid_xml":"https://content.openalex.org/works/W3202793261.grobid-xml"},"referenced_works_count":84,"referenced_works":["https://openalex.org/W121579194","https://openalex.org/W1561782558","https://openalex.org/W1563917320","https://openalex.org/W1570350587","https://openalex.org/W1594252912","https://openalex.org/W1610824330","https://openalex.org/W1797462219","https://openalex.org/W1860153958","https://openalex.org/W1861492603","https://openalex.org/W1966337856","https://openalex.org/W1967979390","https://openalex.org/W1975741463","https://openalex.org/W1986119156","https://openalex.org/W2002377266","https://openalex.org/W2006777285","https://openalex.org/W2011058239","https://openalex.org/W2016327746","https://openalex.org/W2018110376","https://openalex.org/W2018331988","https://openalex.org/W2018567279","https://openalex.org/W2026800967","https://openalex.org/W2038118117","https://openalex.org/W2040270931","https://openalex.org/W2047855646","https://openalex.org/W2082173168","https://openalex.org/W2103844937","https://openalex.org/W2104335344","https://openalex.org/W2104657103","https://openalex.org/W2108598243","https://openalex.org/W2126680226","https://openalex.org/W2127821780","https://openalex.org/W2146674877","https://openalex.org/W2149338512","https://openalex.org/W2149516292","https://openalex.org/W2151458682","https://openalex.org/W2152914237","https://openalex.org/W2153270248","https://openalex.org/W2161315665","https://openalex.org/W2163605009","https://openalex.org/W2164208500","https://openalex.org/W2164875446","https://openalex.org/W2165894511","https://openalex.org/W2166642787","https://openalex.org/W2233737587","https://openalex.org/W2322772590","https://openalex.org/W2346062110","https://openalex.org/W2404400986","https://openalex.org/W2462996230","https://openalex.org/W2510190030","https://openalex.org/W2515018387","https://openalex.org/W2517225990","https://openalex.org/W2559085405","https://openalex.org/W2559785631","https://openalex.org/W2573716527","https://openalex.org/W2608456260","https://openalex.org/W2750023899","https://openalex.org/W2763160469","https://openalex.org/W2765693785","https://openalex.org/W2766172911","https://openalex.org/W2777027507","https://openalex.org/W2786437919","https://openalex.org/W2788751553","https://openalex.org/W2789834341","https://openalex.org/W2796593831","https://openalex.org/W2802803153","https://openalex.org/W2807624910","https://openalex.org/W2896515397","https://openalex.org/W2898241136","https://openalex.org/W2913503957","https://openalex.org/W2914545055","https://openalex.org/W2940829132","https://openalex.org/W2941712557","https://openalex.org/W2951010902","https://openalex.org/W2963301258","https://openalex.org/W2963588253","https://openalex.org/W2963854007","https://openalex.org/W2981868969","https://openalex.org/W2993849459","https://openalex.org/W2997171197","https://openalex.org/W3000959322","https://openalex.org/W3021377764","https://openalex.org/W3035040255","https://openalex.org/W3035400973","https://openalex.org/W4234953666"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"we":[3,42,141,180],"propose":[4],"a":[5,36,44,48,57,71,105,115,126,143,200],"method":[6,28,217],"to":[7,80,87,118,150,169,172,184,193],"estimate":[8],"body":[9,16,18,38,106,165,245,251],"composition-related":[10,246],"health":[11,68,101,135,174,196,209,247],"indicators":[12,102,197,248],"(e.g.,":[13],"ratio":[14],"of":[15,66,74,95,129,161,203,207],"fat,":[17],"water,":[19],"and":[20,62,99,163,188,234],"muscle,":[21],"etc.)":[22],"using":[23,35,104,146,230],"video-based":[24],"gait":[25,58,97,122,152],"analysis.":[26],"This":[27],"is":[29,56,77,85],"more":[30],"efficient":[31],"than":[32],"individual":[33],"measurement":[34],"conventional":[37],"composition":[39,107],"meter.":[40],"Specifically,":[41],"designed":[43],"deep-learning":[45],"framework":[46],"with":[47,199],"convolutional":[49],"neural":[50],"network":[51,82,145,187,192],"(CNN),":[52],"where":[53],"the":[54,63,67,96,100,133,138,147,159,164,173,177,185,190,195,208,215,219,244],"input":[55],"energy":[59],"image":[60],"(GEI)":[61],"output":[64,151,194],"consists":[65],"indicators.":[69,136,175,210],"Although":[70],"vast":[72],"amount":[73],"training":[75,223],"data":[76,205],"typically":[78],"required":[79],"train":[81],"parameters,":[83],"it":[84,237],"unfeasible":[86],"collect":[88],"sufficient":[89],"ground-truth":[90,134,204],"data,":[91],"i.e.,":[92],"pairs":[93],"consisting":[94],"video":[98],"measured":[103],"meter":[108],"for":[109,243,250],"each":[110],"subject.":[111],"We":[112],"therefore":[113],"use":[114],"two-step":[116],"approach":[117],"exploit":[119],"an":[120,231],"auxiliary":[121,148],"dataset":[123,149],"that":[124,214],"contains":[125],"large":[127],"number":[128,202],"subjects":[130],"but":[131],"lacks":[132],"At":[137,176],"first":[139],"step,":[140,179],"pre-train":[142],"backbone":[144,186],"primitives":[153],"such":[154],"as":[155,226,228],"arm":[156],"swing,":[157],"stride,":[158],"degree":[160],"stoop,":[162],"width":[166],"\u2014":[167],"considered":[168],"be":[170],"relevant":[171],"second":[178],"add":[181],"some":[182],"layers":[183],"fine-tune":[189],"entire":[191],"even":[198],"limited":[201],"points":[206],"Experimental":[211],"results":[212],"show":[213],"proposed":[216],"outperforms":[218],"other":[220],"methods":[221],"when":[222,229],"from":[224],"scratch":[225],"well":[227],"auto-encoder-based":[232],"pre-training":[233],"fine-tuning":[235],"approach;":[236],"achieves":[238],"relatively":[239],"high":[240],"estimation":[241],"accuracy":[242],"except":[249],"fat-relevant":[252],"ones.":[253]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-10-10T00:00:00"}
