{"id":"https://openalex.org/W2979400919","doi":"https://doi.org/10.1109/embc.2019.8857263","title":"Rapid Establishment Method of a Personalized Thermal Comfort Prediction Model","display_name":"Rapid Establishment Method of a Personalized Thermal Comfort Prediction Model","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2979400919","doi":"https://doi.org/10.1109/embc.2019.8857263","mag":"2979400919","pmid":"https://pubmed.ncbi.nlm.nih.gov/31946606"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2019.8857263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2019.8857263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","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":null,"display_name":"Jianhong Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhong Wu","raw_affiliation_strings":["School of Biomedical Engineering, Shanghai Jiaotong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058452052","display_name":"Chengcheng Shan","orcid":"https://orcid.org/0000-0002-7895-5080"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengcheng Shan","raw_affiliation_strings":["School of Biomedical Engineering, Shanghai Jiaotong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071353144","display_name":"Jiawen Hu","orcid":"https://orcid.org/0000-0002-3523-6027"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawen Hu","raw_affiliation_strings":["School of Biomedical Engineering, Shanghai Jiaotong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100671671","display_name":"Jianqi Sun","orcid":"https://orcid.org/0000-0001-6444-6894"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqi Sun","raw_affiliation_strings":["School of Biomedical Engineering, Shanghai Jiaotong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110109479","display_name":"Aili Zhang","orcid":"https://orcid.org/0000-0003-3947-9760"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aili Zhang","raw_affiliation_strings":["School of Biomedical Engineering, Shanghai Jiaotong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1626,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56318749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"3383","last_page":"3386"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.9959999918937683,"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"}},{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9602000117301941,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/thermal-comfort","display_name":"Thermal comfort","score":0.7248107194900513},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.6740871667861938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6600028872489929},{"id":"https://openalex.org/keywords/skin-temperature","display_name":"Skin temperature","score":0.5676789283752441},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5182595252990723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4824162721633911},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.4759240448474884},{"id":"https://openalex.org/keywords/thermal-sensation","display_name":"Thermal sensation","score":0.4561731815338135},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.4425922632217407},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4131656587123871},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.39487573504447937},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3783700466156006},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32314831018447876},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22724118828773499},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14178839325904846},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12769702076911926},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.10260626673698425},{"id":"https://openalex.org/keywords/biomedical-engineering","display_name":"Biomedical engineering","score":0.07444360852241516}],"concepts":[{"id":"https://openalex.org/C133913538","wikidata":"https://www.wikidata.org/wiki/Q774514","display_name":"Thermal comfort","level":2,"score":0.7248107194900513},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6740871667861938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6600028872489929},{"id":"https://openalex.org/C3019079563","wikidata":"https://www.wikidata.org/wiki/Q67173088","display_name":"Skin temperature","level":2,"score":0.5676789283752441},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5182595252990723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4824162721633911},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.4759240448474884},{"id":"https://openalex.org/C2989386686","wikidata":"https://www.wikidata.org/wiki/Q774514","display_name":"Thermal sensation","level":3,"score":0.4561731815338135},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.4425922632217407},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4131656587123871},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.39487573504447937},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3783700466156006},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32314831018447876},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22724118828773499},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14178839325904846},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12769702076911926},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.10260626673698425},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.07444360852241516},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[{"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":"D006813","descriptor_name":"Humidity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006813","descriptor_name":"Humidity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006813","descriptor_name":"Humidity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012881","descriptor_name":"Skin Temperature","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012881","descriptor_name":"Skin Temperature","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012881","descriptor_name":"Skin Temperature","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013696","descriptor_name":"Temperature","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013696","descriptor_name":"Temperature","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013696","descriptor_name":"Temperature","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013697","descriptor_name":"Thermosensing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013697","descriptor_name":"Thermosensing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013697","descriptor_name":"Thermosensing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2019.8857263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2019.8857263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:31946606","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31946606","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":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1650445574","https://openalex.org/W2000041175","https://openalex.org/W2024069451","https://openalex.org/W2039872625","https://openalex.org/W2072725733","https://openalex.org/W2166681263","https://openalex.org/W2246750959","https://openalex.org/W2398223822","https://openalex.org/W2737003425","https://openalex.org/W2762557954","https://openalex.org/W2768348081","https://openalex.org/W2774931648","https://openalex.org/W2790123320","https://openalex.org/W2940898493","https://openalex.org/W2980797340","https://openalex.org/W6745609711","https://openalex.org/W6761933788"],"related_works":["https://openalex.org/W2053012903","https://openalex.org/W2946458895","https://openalex.org/W4285410429","https://openalex.org/W1591855100","https://openalex.org/W2364766818","https://openalex.org/W2198120581","https://openalex.org/W2584105525","https://openalex.org/W3046923096","https://openalex.org/W3215767964","https://openalex.org/W1977638669"],"abstract_inverted_index":{"In":[0,117],"this":[1,51,179,188],"paper,":[2],"we":[3,53],"address":[4,50],"the":[5,46,90,93,102,107,111,114,121,176,184],"challenge":[6],"of":[7,59,87,92,164,170,178,186],"predicting":[8],"occupants'":[9],"different":[10],"thermal":[11,62,103,191],"states":[12],"(cold-uncomfortable,":[13],"comfortable":[14],"and":[15,20,43,68,110,134,145,157,181],"hot-uncomfortable)":[16],"with":[17,166,194],"high":[18,21],"accuracy":[19,42],"flexibility.":[22],"At":[23],"present,":[24],"most":[25],"solutions":[26],"are":[27],"based":[28,83,153],"on":[29,84,154],"traditional":[30,34],"average":[31,160],"models":[32],"or":[33],"personalized":[35,61],"models,":[36],"which":[37,131],"generally":[38],"fail":[39],"to":[40,119,190],"guarantee":[41],"flexibility":[44],"at":[45],"same":[47],"time.":[48],"To":[49],"issue,":[52],"introduce":[54],"a":[55,60,74,80,167],"rapid":[56],"establishment":[57],"method":[58,180,189],"comfort":[63],"model":[64,75,151],"by":[65,100],"using":[66],"environmental":[67,133],"physiological":[69,135],"parameters":[70,136],"as":[71],"inputs.":[72],"When":[73],"is":[76,152],"being":[77],"built":[78],"for":[79,128],"new":[81],"occupant":[82,109],"pre-collected":[85],"data":[86,95,115],"other":[88],"occupants,":[89],"weights":[91],"training":[94],"will":[96],"be":[97],"changed":[98],"personally":[99],"quantifying":[101],"sensation":[104],"similarities":[105],"between":[106],"target":[108],"occupants":[112],"in":[113],"set.":[116],"order":[118],"validate":[120],"method,":[122],"14":[123],"healthy":[124],"subjects":[125],"were":[126,148],"recruited":[127],"experiments,":[129],"during":[130],"four":[132],"(air":[137],"temperature,":[138,140],"skin":[139,141,143],"humidity,":[142],"conductance)":[144],"their":[146],"gradients":[147],"recorded.":[149],"The":[150,173],"LightGBM":[155],"classifier":[156],"achieves":[158],"an":[159],"weighted":[161],"F1":[162],"score":[163],"0.893":[165],"small":[168],"amount":[169],"personal":[171],"data.":[172],"results":[174],"clarify":[175],"effectiveness":[177],"also":[182],"shows":[183],"possibility":[185],"applying":[187],"environment":[192],"control":[193],"wearable":[195],"sensing":[196],"technology.":[197]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2019-10-18T00:00:00"}