{"id":"https://openalex.org/W3204041957","doi":"https://doi.org/10.1007/s10015-021-00699-7","title":"An attempt to construct the individual model of daily facial skin temperature using variational autoencoder","display_name":"An attempt to construct the individual model of daily facial skin temperature using variational autoencoder","publication_year":2021,"publication_date":"2021-09-24","ids":{"openalex":"https://openalex.org/W3204041957","doi":"https://doi.org/10.1007/s10015-021-00699-7","mag":"3204041957","pmid":"https://pubmed.ncbi.nlm.nih.gov/34584491"},"language":"en","primary_location":{"id":"doi:10.1007/s10015-021-00699-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10015-021-00699-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10015-021-00699-7.pdf","source":{"id":"https://openalex.org/S104439334","display_name":"Artificial Life and Robotics","issn_l":"1433-5298","issn":["1433-5298","1614-7456"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Life and Robotics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10015-021-00699-7.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032980388","display_name":"Ayaka Masaki","orcid":null},"institutions":[{"id":"https://openalex.org/I131231118","display_name":"Aoyama Gakuin University","ror":"https://ror.org/002rw7y37","country_code":"JP","type":"education","lineage":["https://openalex.org/I131231118"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ayaka Masaki","raw_affiliation_strings":["Aoyama Gakuin University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aoyama Gakuin University, Tokyo, Japan","institution_ids":["https://openalex.org/I131231118"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009695505","display_name":"Kent Nagumo","orcid":"https://orcid.org/0000-0003-4088-7411"},"institutions":[{"id":"https://openalex.org/I131231118","display_name":"Aoyama Gakuin University","ror":"https://ror.org/002rw7y37","country_code":"JP","type":"education","lineage":["https://openalex.org/I131231118"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kent Nagumo","raw_affiliation_strings":["Aoyama Gakuin University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aoyama Gakuin University, Tokyo, Japan","institution_ids":["https://openalex.org/I131231118"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091547206","display_name":"Yuki Iwashita","orcid":null},"institutions":[{"id":"https://openalex.org/I131231118","display_name":"Aoyama Gakuin University","ror":"https://ror.org/002rw7y37","country_code":"JP","type":"education","lineage":["https://openalex.org/I131231118"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuki Iwashita","raw_affiliation_strings":["Aoyama Gakuin University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aoyama Gakuin University, Tokyo, Japan","institution_ids":["https://openalex.org/I131231118"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021140567","display_name":"Kosuke Oiwa","orcid":"https://orcid.org/0000-0002-7508-171X"},"institutions":[{"id":"https://openalex.org/I131231118","display_name":"Aoyama Gakuin University","ror":"https://ror.org/002rw7y37","country_code":"JP","type":"education","lineage":["https://openalex.org/I131231118"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kosuke Oiwa","raw_affiliation_strings":["Aoyama Gakuin University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aoyama Gakuin University, Tokyo, Japan","institution_ids":["https://openalex.org/I131231118"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062860462","display_name":"Akio Nozawa","orcid":"https://orcid.org/0000-0001-8461-6432"},"institutions":[{"id":"https://openalex.org/I131231118","display_name":"Aoyama Gakuin University","ror":"https://ror.org/002rw7y37","country_code":"JP","type":"education","lineage":["https://openalex.org/I131231118"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akio Nozawa","raw_affiliation_strings":["Aoyama Gakuin University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aoyama Gakuin University, Tokyo, Japan","institution_ids":["https://openalex.org/I131231118"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5032980388"],"corresponding_institution_ids":["https://openalex.org/I131231118"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":1.0035,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76351205,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"26","issue":"4","first_page":"488","last_page":"493"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11334","display_name":"Psychosomatic Disorders and Their Treatments","score":0.9571999907493591,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental 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/T10837","display_name":"Dermatology and Skin Diseases","score":0.9369999766349792,"subfield":{"id":"https://openalex.org/subfields/2708","display_name":"Dermatology"},"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/autoencoder","display_name":"Autoencoder","score":0.8766857385635376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6065544486045837},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5926277041435242},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5740779042243958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5413562655448914},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5362721085548401},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5250244736671448},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.46573391556739807},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3760722875595093},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.2980029582977295},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15611279010772705},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.15573051571846008}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8766857385635376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6065544486045837},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5926277041435242},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5740779042243958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5413562655448914},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5362721085548401},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5250244736671448},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.46573391556739807},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3760722875595093},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.2980029582977295},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15611279010772705},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.15573051571846008},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s10015-021-00699-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10015-021-00699-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10015-021-00699-7.pdf","source":{"id":"https://openalex.org/S104439334","display_name":"Artificial Life and Robotics","issn_l":"1433-5298","issn":["1433-5298","1614-7456"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Life and Robotics","raw_type":"journal-article"},{"id":"pmid:34584491","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34584491","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":"Artificial life and robotics","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:8461596","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8461596","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":"Artif Life Robot","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s10015-021-00699-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10015-021-00699-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10015-021-00699-7.pdf","source":{"id":"https://openalex.org/S104439334","display_name":"Artificial Life and Robotics","issn_l":"1433-5298","issn":["1433-5298","1614-7456"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Life and Robotics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3204041957.pdf","grobid_xml":"https://content.openalex.org/works/W3204041957.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1974124261","https://openalex.org/W1994262406","https://openalex.org/W2069137813","https://openalex.org/W2257126868","https://openalex.org/W2800169056","https://openalex.org/W2809803009","https://openalex.org/W2922103016","https://openalex.org/W3085465708","https://openalex.org/W3153872861","https://openalex.org/W3204041957"],"related_works":["https://openalex.org/W3186512740","https://openalex.org/W3017266184","https://openalex.org/W2918377632","https://openalex.org/W3194885736","https://openalex.org/W3046391934","https://openalex.org/W4363671829","https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258"],"abstract_inverted_index":{"Facial":[0],"skin":[1],"temperature":[2],"(FST)":[3],"has":[4],"also":[5,39],"gained":[6],"prominence":[7],"as":[8,15,101],"an":[9],"indicator":[10],"for":[11,25],"detecting":[12],"anomalies":[13],"such":[14],"fever":[16],"due":[17],"to":[18,31,34,43,149,152],"the":[19,78,120,123,131,137,140],"COVID-19.":[20],"When":[21],"FST":[22,66,93,110],"is":[23,29],"used":[24],"engineering":[26],"applications,":[27],"it":[28,53],"enough":[30],"be":[32,62,150],"able":[33],"recognize":[35],"normal.":[36],"We":[37],"are":[38],"focusing":[40],"on":[41,65],"research":[42],"detect":[44],"some":[45],"anomaly":[46,124],"in":[47,111,144,154],"FST.":[48],"In":[49,89],"a":[50,69,73,84,95,102,106,135],"previous":[51],"study,":[52,91],"was":[54,99,114,127,147],"confirmed":[55,148],"that":[56],"abnormal":[57],"and":[58,105],"normal":[59,92,103,109],"conditions":[60],"could":[61],"separated":[63],"based":[64],"by":[67,129],"using":[68,117],"variational":[70],"autoencoder":[71],"(VAE),":[72],"deep":[74],"generative":[75],"model.":[76],"However,":[77],"simulations":[79],"so":[80],"far":[81,85],"have":[82],"been":[83],"cry":[86],"from":[87],"reality.":[88],"this":[90],"with":[94],"diurnal":[96],"variation":[97],"component":[98],"defined":[100],"state,":[104],"model":[107],"of":[108],"daily":[112],"life":[113],"individually":[115],"reconstructed":[116],"VAE.":[118],"Using":[119],"constructed":[121],"model,":[122],"detection":[125],"performance":[126],"evaluated":[128],"applying":[130],"Hotelling":[132],"theory.":[133],"As":[134],"result,":[136],"area":[138],"under":[139],"curve":[141],"(AUC)":[142],"value":[143],"ROC":[145],"analysis":[146],"0.89":[151],"1.00":[153],"two":[155],"subjects.":[156]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}