{"id":"https://openalex.org/W4214761714","doi":"https://doi.org/10.3390/s22051885","title":"Linear Regression vs. Deep Learning: A Simple Yet Effective Baseline for Human Body Measurement","display_name":"Linear Regression vs. Deep Learning: A Simple Yet Effective Baseline for Human Body Measurement","publication_year":2022,"publication_date":"2022-02-28","ids":{"openalex":"https://openalex.org/W4214761714","doi":"https://doi.org/10.3390/s22051885","pmid":"https://pubmed.ncbi.nlm.nih.gov/35271032"},"language":"en","primary_location":{"id":"doi:10.3390/s22051885","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22051885","pdf_url":"https://www.mdpi.com/1424-8220/22/5/1885/pdf?version=1646036830","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/5/1885/pdf?version=1646036830","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021338931","display_name":"Kristijan Bartol","orcid":"https://orcid.org/0000-0003-2806-5140"},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":true,"raw_author_name":"Kristijan Bartol","raw_affiliation_strings":["Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia"],"raw_orcid":"https://orcid.org/0000-0003-2806-5140","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia","institution_ids":["https://openalex.org/I181343428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004184465","display_name":"David C. Bojanic","orcid":"https://orcid.org/0000-0002-2400-0625"},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"David Bojani\u0107","raw_affiliation_strings":["Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia"],"raw_orcid":"https://orcid.org/0000-0002-2400-0625","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia","institution_ids":["https://openalex.org/I181343428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078745592","display_name":"Tomislav Petkovi\u0107","orcid":"https://orcid.org/0000-0002-3054-002X"},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Tomislav Petkovi\u0107","raw_affiliation_strings":["Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia"],"raw_orcid":"https://orcid.org/0000-0002-3054-002X","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia","institution_ids":["https://openalex.org/I181343428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052403414","display_name":"Stanislav Peharec","orcid":"https://orcid.org/0000-0002-4856-7618"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stanislav Peharec","raw_affiliation_strings":["Peharec Polyclinic for Physical Medicine and Rehabilitation, 52100 Pula, Croatia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peharec Polyclinic for Physical Medicine and Rehabilitation, 52100 Pula, Croatia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033576739","display_name":"Tomislav Pribani\u0107","orcid":"https://orcid.org/0000-0002-5415-3630"},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Tomislav Pribani\u0107","raw_affiliation_strings":["Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia"],"raw_orcid":"https://orcid.org/0000-0002-5415-3630","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia","institution_ids":["https://openalex.org/I181343428"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5021338931"],"corresponding_institution_ids":["https://openalex.org/I181343428"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.7407,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.91571806,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"22","issue":"5","first_page":"1885","last_page":"1885"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9984999895095825,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11109","display_name":"Thermoregulation and physiological responses","score":0.9656000137329102,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.8008377552032471},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6449292898178101},{"id":"https://openalex.org/keywords/repeatability","display_name":"Repeatability","score":0.6016150116920471},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.579037070274353},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5387102365493774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5344480872154236},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5310293436050415},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.514877438545227},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4628550112247467},{"id":"https://openalex.org/keywords/simplicity","display_name":"Simplicity","score":0.45379412174224854},{"id":"https://openalex.org/keywords/simple-linear-regression","display_name":"Simple linear regression","score":0.4485704004764557},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4479512572288513},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.4192078709602356},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.31221210956573486},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.174322247505188}],"concepts":[{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.8008377552032471},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6449292898178101},{"id":"https://openalex.org/C154020017","wikidata":"https://www.wikidata.org/wiki/Q520171","display_name":"Repeatability","level":2,"score":0.6016150116920471},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.579037070274353},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5387102365493774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5344480872154236},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5310293436050415},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.514877438545227},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4628550112247467},{"id":"https://openalex.org/C2776372474","wikidata":"https://www.wikidata.org/wiki/Q508291","display_name":"Simplicity","level":2,"score":0.45379412174224854},{"id":"https://openalex.org/C149769383","wikidata":"https://www.wikidata.org/wiki/Q7520804","display_name":"Simple linear regression","level":3,"score":0.4485704004764557},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4479512572288513},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.4192078709602356},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.31221210956573486},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.174322247505188},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D000465","descriptor_name":"Algorithms","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":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","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":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018594","descriptor_name":"Human Body","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018594","descriptor_name":"Human Body","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018594","descriptor_name":"Human Body","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22051885","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22051885","pdf_url":"https://www.mdpi.com/1424-8220/22/5/1885/pdf?version=1646036830","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:35271032","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35271032","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:721bd8fc235c42c8aefd73f61f0612f8","is_oa":true,"landing_page_url":"https://doaj.org/article/721bd8fc235c42c8aefd73f61f0612f8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 5, p 1885 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/5/1885/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22051885","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 5; Pages: 1885","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8914647","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8914647","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22051885","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22051885","pdf_url":"https://www.mdpi.com/1424-8220/22/5/1885/pdf?version=1646036830","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4300000071525574,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G2381297577","display_name":"Smartphone and Tablet Extraction of Anthropometric Measurements","funder_award_id":"IP-2018-01-8118","funder_id":"https://openalex.org/F4320322674","funder_display_name":"Hrvatska Zaklada za Znanost"},{"id":"https://openalex.org/G7157195506","display_name":null,"funder_award_id":"440 KK.01.1.1.01.0009","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"}],"funders":[{"id":"https://openalex.org/F4320322674","display_name":"Hrvatska Zaklada za Znanost","ror":"https://ror.org/03n51vw80"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4214761714.pdf"},"referenced_works_count":83,"referenced_works":["https://openalex.org/W963993219","https://openalex.org/W1562699689","https://openalex.org/W1698791118","https://openalex.org/W1856391657","https://openalex.org/W1936186068","https://openalex.org/W1988539193","https://openalex.org/W1989191365","https://openalex.org/W1990078388","https://openalex.org/W1993846356","https://openalex.org/W1994359450","https://openalex.org/W1994708707","https://openalex.org/W1997755584","https://openalex.org/W2033819227","https://openalex.org/W2038035135","https://openalex.org/W2051434435","https://openalex.org/W2051945204","https://openalex.org/W2067284108","https://openalex.org/W2087874164","https://openalex.org/W2101234009","https://openalex.org/W2128630617","https://openalex.org/W2134484928","https://openalex.org/W2137044594","https://openalex.org/W2146023819","https://openalex.org/W2163874764","https://openalex.org/W2441745477","https://openalex.org/W2483862638","https://openalex.org/W2562703451","https://openalex.org/W2564755587","https://openalex.org/W2596210417","https://openalex.org/W2606583078","https://openalex.org/W2749324691","https://openalex.org/W2782176193","https://openalex.org/W2798637590","https://openalex.org/W2800175386","https://openalex.org/W2883495587","https://openalex.org/W2916801517","https://openalex.org/W2963907666","https://openalex.org/W2963995996","https://openalex.org/W2978956737","https://openalex.org/W2981637078","https://openalex.org/W2982667067","https://openalex.org/W3002625094","https://openalex.org/W3003257820","https://openalex.org/W3031984092","https://openalex.org/W3035551320","https://openalex.org/W3035965352","https://openalex.org/W3053462477","https://openalex.org/W3088900258","https://openalex.org/W3099878876","https://openalex.org/W3103145119","https://openalex.org/W3107167007","https://openalex.org/W3107471220","https://openalex.org/W3109877674","https://openalex.org/W3110095664","https://openalex.org/W3158686964","https://openalex.org/W3161982435","https://openalex.org/W3167491448","https://openalex.org/W3174690545","https://openalex.org/W3174980830","https://openalex.org/W3175199633","https://openalex.org/W3180730526","https://openalex.org/W3183434010","https://openalex.org/W3195658191","https://openalex.org/W3196703792","https://openalex.org/W3203524604","https://openalex.org/W3204582936","https://openalex.org/W3208050765","https://openalex.org/W3213343976","https://openalex.org/W4205116876","https://openalex.org/W4206660454","https://openalex.org/W4214517305","https://openalex.org/W4214679856","https://openalex.org/W4214684804","https://openalex.org/W4214770715","https://openalex.org/W4249306322","https://openalex.org/W4255437949","https://openalex.org/W4256664074","https://openalex.org/W4385489997","https://openalex.org/W6637461767","https://openalex.org/W6639159982","https://openalex.org/W6675354045","https://openalex.org/W6854993605","https://openalex.org/W7073984719"],"related_works":["https://openalex.org/W2368019753","https://openalex.org/W2333930193","https://openalex.org/W2737356002","https://openalex.org/W2246241526","https://openalex.org/W4301122218","https://openalex.org/W1550978005","https://openalex.org/W4200124026","https://openalex.org/W652265168","https://openalex.org/W2289575421","https://openalex.org/W1965032485"],"abstract_inverted_index":{"We":[0,33],"propose":[1],"a":[2,24,79],"linear":[3],"regression":[4,72],"model":[5,17,36,73],"for":[6,41,86],"the":[7,16,21,38,50,54,70,84,90,95,98,104],"estimation":[8],"of":[9,20,69,97,100],"human":[10],"body":[11,42,112],"measurements.":[12],"The":[13,67],"input":[14],"to":[15,83],"only":[18],"consists":[19],"information":[22],"that":[23],"person":[25],"can":[26],"self-estimate,":[27],"such":[28,88],"as":[29,78,89],"height":[30],"and":[31,47,57,103],"weight.":[32],"evaluate":[34],"our":[35,101],"against":[37],"state-of-the-art":[39],"approaches":[40],"measurement":[43,113],"from":[44],"point":[45],"clouds":[46],"images,":[48],"demonstrate":[49],"comparable":[51],"performance":[52],"with":[53],"best":[55],"methods,":[56,106],"even":[58],"outperform":[59],"several":[60],"deep":[61],"learning":[62],"models":[63],"on":[64],"public":[65],"datasets.":[66],"simplicity":[68],"proposed":[71],"makes":[74],"it":[75],"perfectly":[76],"suitable":[77],"baseline":[80,102],"in":[81],"addition":[82],"convenience":[85],"applications":[87],"virtual":[91],"try-on.":[92],"To":[93],"improve":[94],"repeatability":[96],"results":[99],"competing":[105],"we":[107],"provide":[108],"guidelines":[109],"toward":[110],"standardized":[111],"estimation.":[114]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}
