Novel dynamic thermal comfort prediction in buildings with single-shot vision-based deep learning method and low-cost thermographic imaging

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Published inBuilding and environment p. 113549
Main Authors Zhang, Wuxia, Calautit, John, Wu, Yupeng
Format Journal Article
LanguageEnglish
Published 01.08.2025
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ArticleNumber 113549
Author Zhang, Wuxia
Wu, Yupeng
Calautit, John
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Cites_doi 10.1016/j.buildenv.2019.106163
10.1016/j.buildenv.2009.02.014
10.1016/j.buildenv.2022.109887
10.3390/su142315663
10.1016/j.buildenv.2019.106223
10.3390/buildings12122232
10.1016/j.apenergy.2020.114882
10.1016/j.apenergy.2017.11.021
10.1016/j.buildenv.2012.07.003
10.1038/s41598-023-47460-7
10.5194/gmd-7-1247-2014
10.1016/j.renene.2019.04.099
10.3390/en15030921
10.1016/j.enbuild.2023.112900
10.1016/j.softx.2020.100563
10.1016/j.enbuild.2020.109795
10.1016/j.enbuild.2020.110305
10.1007/s12652-022-03754-8
10.1016/j.enbuild.2015.12.031
10.1016/j.buildenv.2017.05.004
10.1007/s12239-022-0016-z
10.3390/buildings12101572
10.1016/j.enbuild.2013.11.066
10.1016/j.enbuild.2021.111389
10.3390/su142315796
10.1016/j.ecoinf.2024.102541
10.1016/j.enbuild.2014.08.051
10.1016/j.physbeh.2007.09.012
10.1016/j.buildenv.2019.01.055
10.1016/j.enbuild.2018.07.025
10.3389/fmars.2022.944582
10.1016/j.buildenv.2018.11.017
10.1016/j.jclepro.2019.01.307
10.1016/j.apenergy.2020.115429
10.1016/j.buildenv.2022.109811
10.1016/j.buildenv.2024.111799
10.1016/j.enbuild.2023.113495
10.1177/0143624412465200
10.1016/j.apergo.2010.04.003
10.1016/j.egyr.2021.11.280
10.1016/j.buildenv.2022.109877
10.1016/j.buildenv.2020.107316
10.1016/j.buildenv.2011.01.001
10.1016/j.rineng.2024.102148
10.1016/j.apenergy.2018.02.049
10.1186/s40101-023-00339-y
10.7717/peerj-cs.2245
10.1016/j.buildenv.2021.108492
10.1016/j.enbuild.2017.08.036
10.1016/j.buildenv.2019.106579
10.1016/j.buildenv.2018.06.052
10.1016/j.jobe.2021.103778
10.1016/j.buildenv.2017.06.048
10.1016/j.enbuild.2024.113976
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References Burzo (10.1016/j.buildenv.2025.113549_bib0030) 2017
Cosma (10.1016/j.buildenv.2025.113549_bib0025) 2018; 143
Zhang (10.1016/j.buildenv.2025.113549_bib0054) 2024
Haghirad (10.1016/j.buildenv.2025.113549_bib0044) 2024; 262
Baek (10.1016/j.buildenv.2025.113549_bib0036) 2023; 228
10.1016/j.buildenv.2025.113549_bib0077
Chai (10.1016/j.buildenv.2025.113549_bib0072) 2014; 7
Kumar (10.1016/j.buildenv.2025.113549_bib0043) 2023; 14
Xiong (10.1016/j.buildenv.2025.113549_bib0020) 2016; 113
Ammer (10.1016/j.buildenv.2025.113549_bib0050) 2019
Cosma (10.1016/j.buildenv.2025.113549_bib0034) 2019; 160
Sivakumar (10.1016/j.buildenv.2025.113549_bib0060) 2024; 10
10.1016/j.buildenv.2025.113549_bib0041
10.1016/j.buildenv.2025.113549_bib0042
Sokolova (10.1016/j.buildenv.2025.113549_bib0063) 2006
CEN (10.1016/j.buildenv.2025.113549_bib0068) 2019
Fang (10.1016/j.buildenv.2025.113549_bib0065) 2022; 12
Shan (10.1016/j.buildenv.2025.113549_bib0022) 2020; 225
Zhou (10.1016/j.buildenv.2025.113549_bib0027) 2020; 211
Jung (10.1016/j.buildenv.2025.113549_bib0005) 2020; 268
Li (10.1016/j.buildenv.2025.113549_bib0015) 2022; 23
Paszke (10.1016/j.buildenv.2025.113549_bib0056) 2019; 32
Yao (10.1016/j.buildenv.2025.113549_bib0052) 2008; 93
10.1016/j.buildenv.2025.113549_bib0069
Cosma (10.1016/j.buildenv.2025.113549_bib0035) 2019; 148
Yau (10.1016/j.buildenv.2025.113549_bib0071) 2012; 35
Choi (10.1016/j.buildenv.2025.113549_bib0059) 2012; 58
Tamura (10.1016/j.buildenv.2025.113549_bib0019) 2018; 128
He (10.1016/j.buildenv.2025.113549_bib0038) 2023; 228
Aryal (10.1016/j.buildenv.2025.113549_bib0051) 2019; 160
10.1016/j.buildenv.2025.113549_bib0075
Jeoung (10.1016/j.buildenv.2025.113549_bib0037) 2023; 298
d’Ambrosio Alfano (10.1016/j.buildenv.2025.113549_bib0009) 2011; 46
Choi (10.1016/j.buildenv.2025.113549_bib0048) 2021; 252
Fanger (10.1016/j.buildenv.2025.113549_bib0008) 1970
Choi (10.1016/j.buildenv.2025.113549_bib0007) 2024; 307
Cheung (10.1016/j.buildenv.2025.113549_bib0010) 2019; 153
Marrable (10.1016/j.buildenv.2025.113549_bib0061) 2022; 9
Nkurikiyeyezu (10.1016/j.buildenv.2025.113549_bib0018) 2017
Yamazaki (10.1016/j.buildenv.2025.113549_bib0066) 2023; 42
Jazizadeh (10.1016/j.buildenv.2025.113549_bib0033) 2018; 220
Tartarini (10.1016/j.buildenv.2025.113549_bib0070) 2020; 12
10.1016/j.buildenv.2025.113549_bib0058
Standard (10.1016/j.buildenv.2025.113549_bib0067) 1992; 55
Boutahri (10.1016/j.buildenv.2025.113549_bib0076) 2024; 22
Aryal (10.1016/j.buildenv.2025.113549_bib0074) 2020; 185
Laouadi (10.1016/j.buildenv.2025.113549_bib0014) 2022; 12
Ulmeanu (10.1016/j.buildenv.2025.113549_bib0045) 2017; 154
Ju (10.1016/j.buildenv.2025.113549_bib0057) 2023; 13
Kim (10.1016/j.buildenv.2025.113549_bib0013) 2015; 98
10.1016/j.buildenv.2025.113549_bib0062
Zhang (10.1016/j.buildenv.2025.113549_bib0023) 2017; 123
Qiao (10.1016/j.buildenv.2025.113549_bib0064) 2022; 14
Alaskar (10.1016/j.buildenv.2025.113549_bib0040) 2021
Yao (10.1016/j.buildenv.2025.113549_bib0012) 2009; 44
Talon (10.1016/j.buildenv.2025.113549_bib0017) 2015
Li (10.1016/j.buildenv.2025.113549_bib0032) 2018; 176
Lee (10.1016/j.buildenv.2025.113549_bib0047) 2022; 15
Mao (10.1016/j.buildenv.2025.113549_bib0006) 2019; 142
Wu (10.1016/j.buildenv.2025.113549_bib0016) 2023; 228
Mujan (10.1016/j.buildenv.2025.113549_bib0001) 2019; 217
10.1016/j.buildenv.2025.113549_bib0046
Bakana (10.1016/j.buildenv.2025.113549_bib0055) 2024; 80
Lan (10.1016/j.buildenv.2025.113549_bib0004) 2010; 42
Choi (10.1016/j.buildenv.2025.113549_bib0021) 2017; 121
Park (10.1016/j.buildenv.2025.113549_bib0026) 2022; 207
Metwaly (10.1016/j.buildenv.2025.113549_bib0028) 2019
Ranjan (10.1016/j.buildenv.2025.113549_bib0029) 2016
González-Torres (10.1016/j.buildenv.2025.113549_bib0002) 2022; 8
Ghahramani (10.1016/j.buildenv.2025.113549_bib0031) 2018; 211
Wu (10.1016/j.buildenv.2025.113549_bib0039) 2023; 285
Wei (10.1016/j.buildenv.2025.113549_bib0049) 2022; 47
Kim (10.1016/j.buildenv.2025.113549_bib0003) 2020; 276
10.1016/j.buildenv.2025.113549_bib0053
Sibyan (10.1016/j.buildenv.2025.113549_bib0073) 2022; 14
Jazizadeh (10.1016/j.buildenv.2025.113549_bib0011) 2014; 70
Salehi (10.1016/j.buildenv.2025.113549_bib0024) 2020; 169
References_xml – volume: 160
  year: 2019
  ident: 10.1016/j.buildenv.2025.113549_bib0034
  article-title: Using the contrast within a single face heat map to assess personal thermal comfort
  publication-title: Building and Environment
  doi: 10.1016/j.buildenv.2019.106163
– volume: 44
  start-page: 2089
  year: 2009
  ident: 10.1016/j.buildenv.2025.113549_bib0012
  article-title: A theoretical adaptive model of thermal comfort – Adaptive Predicted Mean Vote (aPMV)
  publication-title: Building and Environment
  doi: 10.1016/j.buildenv.2009.02.014
– volume: 228
  year: 2023
  ident: 10.1016/j.buildenv.2025.113549_bib0016
  article-title: Age differences in thermal comfort and physiological responses in thermal environments with temperature ramp
  publication-title: Building and Environment
  doi: 10.1016/j.buildenv.2022.109887
– volume: 14
  year: 2022
  ident: 10.1016/j.buildenv.2025.113549_bib0073
  article-title: Thermal Comfort Prediction Accuracy with Machine Learning between Regression Analysis and Naïve Bayes Classifier
  publication-title: Sustainability
  doi: 10.3390/su142315663
– volume: 160
  year: 2019
  ident: 10.1016/j.buildenv.2025.113549_bib0051
  article-title: A comparative study of predicting individual thermal sensation and satisfaction using wrist-worn temperature sensor, thermal camera and ambient temperature sensor
  publication-title: Building and Environment
  doi: 10.1016/j.buildenv.2019.106223
– volume: 12
  start-page: 2232
  year: 2022
  ident: 10.1016/j.buildenv.2025.113549_bib0065
  article-title: Experimental Investigation of Indoor Thermal Comfort under Different Heating Conditions in Winter
  publication-title: Buildings
  doi: 10.3390/buildings12122232
– volume: 268
  year: 2020
  ident: 10.1016/j.buildenv.2025.113549_bib0005
  article-title: Energy saving potentials of integrating personal thermal comfort models for control of building systems: Comprehensive quantification through combinatorial consideration of influential parameters
  publication-title: Applied Energy
  doi: 10.1016/j.apenergy.2020.114882
– start-page: 1212
  year: 2016
  ident: 10.1016/j.buildenv.2025.113549_bib0029
  article-title: ThermalSense: determining dynamic thermal comfort preferences using thermographic imaging
– ident: 10.1016/j.buildenv.2025.113549_bib0058
– volume: 211
  start-page: 41
  year: 2018
  ident: 10.1016/j.buildenv.2025.113549_bib0031
  article-title: Becerik-Gerber B. Towards unsupervised learning of thermal comfort using infrared thermography
  publication-title: Applied Energy
  doi: 10.1016/j.apenergy.2017.11.021
– volume: 58
  start-page: 258
  year: 2012
  ident: 10.1016/j.buildenv.2025.113549_bib0059
  article-title: Investigation of human body skin temperatures as a bio-signal to indicate overall thermal sensations
  publication-title: Building and Environment
  doi: 10.1016/j.buildenv.2012.07.003
– start-page: 1
  year: 2019
  ident: 10.1016/j.buildenv.2025.113549_bib0028
  article-title: Edge computing with embedded ai: Thermal image analysis for occupancy estimation in intelligent buildings
– year: 2019
  ident: 10.1016/j.buildenv.2025.113549_bib0050
– volume: 13
  year: 2023
  ident: 10.1016/j.buildenv.2025.113549_bib0057
  article-title: Fracture detection in pediatric wrist trauma X-ray images using YOLOv8 algorithm
  publication-title: Scientific Reports
  doi: 10.1038/s41598-023-47460-7
– volume: 7
  start-page: 1247
  year: 2014
  ident: 10.1016/j.buildenv.2025.113549_bib0072
  article-title: Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature
  publication-title: Geosci Model Dev
  doi: 10.5194/gmd-7-1247-2014
– volume: 142
  start-page: 41
  year: 2019
  ident: 10.1016/j.buildenv.2025.113549_bib0006
  article-title: PMV-based dynamic optimization of energy consumption for a residential task/ambient air conditioning system in different climate zones
  publication-title: Renewable Energy
  doi: 10.1016/j.renene.2019.04.099
– volume: 15
  start-page: 921
  year: 2022
  ident: 10.1016/j.buildenv.2025.113549_bib0047
  article-title: Collection and utilization of indoor environmental quality information using affordable image sensing technology
  publication-title: Energies
  doi: 10.3390/en15030921
– volume: 285
  year: 2023
  ident: 10.1016/j.buildenv.2025.113549_bib0039
  article-title: Development of personal comfort model and its use in the control of air conditioner
  publication-title: Energy and Buildings
  doi: 10.1016/j.enbuild.2023.112900
– volume: 12
  year: 2020
  ident: 10.1016/j.buildenv.2025.113549_bib0070
  article-title: CBE Thermal Comfort Tool: Online tool for thermal comfort calculations and visualizations
  publication-title: SoftwareX
  doi: 10.1016/j.softx.2020.100563
– ident: 10.1016/j.buildenv.2025.113549_bib0041
– volume: 211
  year: 2020
  ident: 10.1016/j.buildenv.2025.113549_bib0027
  article-title: Data-driven thermal comfort model via support vector machine algorithms: Insights from ASHRAE RP-884 database
  publication-title: Energy and Buildings
  doi: 10.1016/j.enbuild.2020.109795
– volume: 225
  year: 2020
  ident: 10.1016/j.buildenv.2025.113549_bib0022
  article-title: Supervised machine learning of thermal comfort under different indoor temperatures using EEG measurements
  publication-title: Energy and Buildings
  doi: 10.1016/j.enbuild.2020.110305
– volume: 14
  start-page: 12049
  year: 2023
  ident: 10.1016/j.buildenv.2025.113549_bib0043
  article-title: Real-time data based thermal comfort prediction leading to temperature setpoint control
  publication-title: Journal of Ambient Intelligence and Humanized Computing
  doi: 10.1007/s12652-022-03754-8
– volume: 113
  start-page: 87
  year: 2016
  ident: 10.1016/j.buildenv.2025.113549_bib0020
  article-title: Potential indicators for the effect of temperature steps on human health and thermal comfort
  publication-title: Energy and Buildings
  doi: 10.1016/j.enbuild.2015.12.031
– volume: 121
  start-page: 130
  year: 2017
  ident: 10.1016/j.buildenv.2025.113549_bib0021
  article-title: Study of data-driven thermal sensation prediction model as a function of local body skin temperatures in a built environment
  publication-title: Building and Environment
  doi: 10.1016/j.buildenv.2017.05.004
– volume: 23
  start-page: 193
  year: 2022
  ident: 10.1016/j.buildenv.2025.113549_bib0015
  article-title: Numerical projection on occupant thermal comfort via dynamic responses to human thermoregulation
  publication-title: International Journal of Automotive Technology
  doi: 10.1007/s12239-022-0016-z
– year: 1970
  ident: 10.1016/j.buildenv.2025.113549_bib0008
  article-title: Thermal comfort
  publication-title: Analysis and applications in environmental engineering
– year: 2024
  ident: 10.1016/j.buildenv.2025.113549_bib0054
  article-title: Deep Learning Models for Vision-Based Occupancy Detection in High Occupancy Buildings
  publication-title: Journal of Building Engineering
– volume: 32
  year: 2019
  ident: 10.1016/j.buildenv.2025.113549_bib0056
  article-title: Pytorch: An imperative style, high-performance deep learning library
  publication-title: Advances in neural information processing systems
– volume: 12
  start-page: 1572
  year: 2022
  ident: 10.1016/j.buildenv.2025.113549_bib0014
  article-title: A New General Formulation for the PMV Thermal Comfort Index
  publication-title: Buildings
  doi: 10.3390/buildings12101572
– ident: 10.1016/j.buildenv.2025.113549_bib0053
– volume: 55
  start-page: 5
  year: 1992
  ident: 10.1016/j.buildenv.2025.113549_bib0067
  article-title: Thermal environmental conditions for human occupancy
  publication-title: ANSI/ASHRAE
– year: 2017
  ident: 10.1016/j.buildenv.2025.113549_bib0030
  article-title: Thermal Discomfort Detection Using Thermal Imaging
– volume: 70
  start-page: 398
  year: 2014
  ident: 10.1016/j.buildenv.2025.113549_bib0011
  article-title: User-led decentralized thermal comfort driven HVAC operations for improved efficiency in office buildings
  publication-title: Energy and Buildings
  doi: 10.1016/j.enbuild.2013.11.066
– volume: 252
  year: 2021
  ident: 10.1016/j.buildenv.2025.113549_bib0048
  article-title: Application of vision-based occupancy counting method using deep learning and performance analysis
  publication-title: Energy and Buildings
  doi: 10.1016/j.enbuild.2021.111389
– ident: 10.1016/j.buildenv.2025.113549_bib0077
– year: 2019
  ident: 10.1016/j.buildenv.2025.113549_bib0068
  article-title: 16798-1: 2019 Energy Performance of Buildings—Ventilation for Buildings—Part 1: Indoor Environmental Input Parameters for Design and Assessment of Energy Performance of Buildings Addressing Indoor Air Quality
  publication-title: Thermal Environment, Lighting and Acous
– year: 2015
  ident: 10.1016/j.buildenv.2025.113549_bib0017
– ident: 10.1016/j.buildenv.2025.113549_bib0046
– volume: 14
  year: 2022
  ident: 10.1016/j.buildenv.2025.113549_bib0064
  article-title: Analysis of Thermal Comfort under Different Exercise Modes in Winter in Universities in Severe Cold Regions
  publication-title: Sustainability
  doi: 10.3390/su142315796
– volume: 80
  year: 2024
  ident: 10.1016/j.buildenv.2025.113549_bib0055
  article-title: WildARe-YOLO: A lightweight and efficient wild animal recognition model
  publication-title: Ecological Informatics
  doi: 10.1016/j.ecoinf.2024.102541
– volume: 98
  start-page: 100
  year: 2015
  ident: 10.1016/j.buildenv.2025.113549_bib0013
  article-title: Development of the adaptive PMV model for improving prediction performances
  publication-title: Energy and Buildings
  doi: 10.1016/j.enbuild.2014.08.051
– ident: 10.1016/j.buildenv.2025.113549_bib0042
– volume: 93
  start-page: 310
  year: 2008
  ident: 10.1016/j.buildenv.2025.113549_bib0052
  article-title: Experimental study on physiological responses and thermal comfort under various ambient temperatures
  publication-title: Physiology & Behavior
  doi: 10.1016/j.physbeh.2007.09.012
– volume: 153
  start-page: 205
  year: 2019
  ident: 10.1016/j.buildenv.2025.113549_bib0010
  article-title: Analysis of the accuracy on PMV – PPD model using the ASHRAE Global Thermal Comfort Database II
  publication-title: Building and Environment
  doi: 10.1016/j.buildenv.2019.01.055
– volume: 176
  start-page: 246
  year: 2018
  ident: 10.1016/j.buildenv.2025.113549_bib0032
  article-title: Non-intrusive interpretation of human thermal comfort through analysis of facial infrared thermography
  publication-title: Energy and Buildings
  doi: 10.1016/j.enbuild.2018.07.025
– volume: 9
  year: 2022
  ident: 10.1016/j.buildenv.2025.113549_bib0061
  article-title: Accelerating Species Recognition and Labelling of Fish From Underwater Video With Machine-Assisted Deep Learning
  publication-title: Frontiers in Marine Science
  doi: 10.3389/fmars.2022.944582
– volume: 148
  start-page: 372
  year: 2019
  ident: 10.1016/j.buildenv.2025.113549_bib0035
  article-title: Machine learning method for real-time non-invasive prediction of individual thermal preference in transient conditions
  publication-title: Building and Environment
  doi: 10.1016/j.buildenv.2018.11.017
– volume: 217
  start-page: 646
  year: 2019
  ident: 10.1016/j.buildenv.2025.113549_bib0001
  article-title: Influence of indoor environmental quality on human health and productivity - A review
  publication-title: Journal of Cleaner Production
  doi: 10.1016/j.jclepro.2019.01.307
– volume: 276
  year: 2020
  ident: 10.1016/j.buildenv.2025.113549_bib0003
  article-title: Determining the optimal set-point temperature considering both labor productivity and energy saving in an office building
  publication-title: Applied Energy
  doi: 10.1016/j.apenergy.2020.115429
– volume: 228
  year: 2023
  ident: 10.1016/j.buildenv.2025.113549_bib0038
  article-title: Smart detection of indoor occupant thermal state via infrared thermography, computer vision, and machine learning
  publication-title: Building and Environment
  doi: 10.1016/j.buildenv.2022.109811
– volume: 262
  year: 2024
  ident: 10.1016/j.buildenv.2025.113549_bib0044
  article-title: Advancing personal thermal comfort prediction: A data-driven framework integrating environmental and occupant dynamics using machine learning
  publication-title: Building and Environment
  doi: 10.1016/j.buildenv.2024.111799
– volume: 298
  year: 2023
  ident: 10.1016/j.buildenv.2025.113549_bib0037
  article-title: Thermal comfort prediction based on automated extraction of skin temperature of face component on thermal image
  publication-title: Energy and Buildings
  doi: 10.1016/j.enbuild.2023.113495
– volume: 35
  start-page: 23
  year: 2012
  ident: 10.1016/j.buildenv.2025.113549_bib0071
  article-title: A review on predicted mean vote and adaptive thermal comfort models
  publication-title: Building Services Engineering Research and Technology
  doi: 10.1177/0143624412465200
– volume: 42
  start-page: 29
  year: 2010
  ident: 10.1016/j.buildenv.2025.113549_bib0004
  article-title: The effects of air temperature on office workers’ well-being, workload and productivity-evaluated with subjective ratings
  publication-title: Applied Ergonomics
  doi: 10.1016/j.apergo.2010.04.003
– start-page: 143
  year: 2021
  ident: 10.1016/j.buildenv.2025.113549_bib0040
  article-title: Machine Learning and Deep Learning: A Comparative Review
– volume: 8
  start-page: 626
  year: 2022
  ident: 10.1016/j.buildenv.2025.113549_bib0002
  article-title: A review on buildings energy information: Trends, end-uses, fuels and drivers
  publication-title: Energy Reports
  doi: 10.1016/j.egyr.2021.11.280
– volume: 228
  year: 2023
  ident: 10.1016/j.buildenv.2025.113549_bib0036
  article-title: Vision-based personal thermal comfort prediction based on half-body thermal distribution
  publication-title: Building and Environment
  doi: 10.1016/j.buildenv.2022.109877
– volume: 185
  year: 2020
  ident: 10.1016/j.buildenv.2025.113549_bib0074
  article-title: Thermal comfort modeling when personalized comfort systems are in use: Comparison of sensing and learning methods
  publication-title: Building and Environment
  doi: 10.1016/j.buildenv.2020.107316
– volume: 46
  start-page: 1361
  year: 2011
  ident: 10.1016/j.buildenv.2025.113549_bib0009
  article-title: The role of measurement accuracy on the thermal environment assessment by means of PMV index
  publication-title: Building and Environment
  doi: 10.1016/j.buildenv.2011.01.001
– volume: 22
  year: 2024
  ident: 10.1016/j.buildenv.2025.113549_bib0076
  article-title: Machine learning-based predictive model for thermal comfort and energy optimization in smart buildings
  publication-title: Results in Engineering
  doi: 10.1016/j.rineng.2024.102148
– ident: 10.1016/j.buildenv.2025.113549_bib0062
– volume: 220
  start-page: 829
  year: 2018
  ident: 10.1016/j.buildenv.2025.113549_bib0033
  article-title: Personalized thermal comfort inference using RGB video images for distributed HVAC control
  publication-title: Applied Energy
  doi: 10.1016/j.apenergy.2018.02.049
– start-page: 1510
  year: 2017
  ident: 10.1016/j.buildenv.2025.113549_bib0018
  article-title: Heart rate variability as an indicator of thermal comfort state
– volume: 42
  start-page: 22
  year: 2023
  ident: 10.1016/j.buildenv.2025.113549_bib0066
  article-title: A two-week exercise intervention improves cold symptoms and sleep condition in cold-sensitive women
  publication-title: Journal of Physiological Anthropology
  doi: 10.1186/s40101-023-00339-y
– volume: 10
  start-page: e2245
  year: 2024
  ident: 10.1016/j.buildenv.2025.113549_bib0060
  article-title: Trade-off between training and testing ratio in machine learning for medical image processing
  publication-title: PeerJ Comput Sci
  doi: 10.7717/peerj-cs.2245
– volume: 207
  year: 2022
  ident: 10.1016/j.buildenv.2025.113549_bib0026
  article-title: Prediction of individual thermal comfort based on ensemble transfer learning method using wearable and environmental sensors
  publication-title: Building and Environment
  doi: 10.1016/j.buildenv.2021.108492
– volume: 128
  start-page: 382
  year: 2018
  ident: 10.1016/j.buildenv.2025.113549_bib0019
  article-title: The Face – A Vascular Perspective
  publication-title: Swiss Dental Journal
– volume: 154
  start-page: 127
  year: 2017
  ident: 10.1016/j.buildenv.2025.113549_bib0045
  article-title: Hidden Markov Models revealing the household thermal profiling from smart meter data
  publication-title: Energy and Buildings
  doi: 10.1016/j.enbuild.2017.08.036
– volume: 169
  year: 2020
  ident: 10.1016/j.buildenv.2025.113549_bib0024
  article-title: Intelligent models to predict the indoor thermal sensation and thermal demand in steady state based on occupants’ skin temperature
  publication-title: Building and Environment
  doi: 10.1016/j.buildenv.2019.106579
– volume: 143
  start-page: 36
  year: 2018
  ident: 10.1016/j.buildenv.2025.113549_bib0025
  article-title: Thermal comfort modeling in transient conditions using real-time local body temperature extraction with a thermographic camera
  publication-title: Building and Environment
  doi: 10.1016/j.buildenv.2018.06.052
– start-page: 1015
  year: 2006
  ident: 10.1016/j.buildenv.2025.113549_bib0063
  article-title: Beyond accuracy, F-score and ROC: a family of discriminant measures for performance evaluation
– ident: 10.1016/j.buildenv.2025.113549_bib0075
– volume: 47
  year: 2022
  ident: 10.1016/j.buildenv.2025.113549_bib0049
  article-title: A coupled deep learning-based internal heat gains detection and prediction method for energy-efficient office building operation
  publication-title: Journal of Building Engineering
  doi: 10.1016/j.jobe.2021.103778
– ident: 10.1016/j.buildenv.2025.113549_bib0069
– volume: 123
  start-page: 176
  year: 2017
  ident: 10.1016/j.buildenv.2025.113549_bib0023
  article-title: The effects of higher temperature setpoints during summer on office workers' cognitive load and thermal comfort
  publication-title: Building and Environment
  doi: 10.1016/j.buildenv.2017.06.048
– volume: 307
  year: 2024
  ident: 10.1016/j.buildenv.2025.113549_bib0007
  article-title: Impact of thermal control by real-time PMV using estimated occupants personal factors of metabolic rate and clothing insulation
  publication-title: Energy and Buildings
  doi: 10.1016/j.enbuild.2024.113976
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