Data-driven personal thermal comfort prediction: A literature review

Feng, Yanxiao; Liu, Shichao; Wang, Julian; Yang, Jing; Jao, Ying-Ling; Wang, Nan

doi:10.1016/j.rser.2022.112357

Cited by 55 publications

(16 citation statements)

References 74 publications

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“…To set the proper values of air temperature and relative humidity, a review of the main ranges is carried on. The study of the hygrothermal comfort has been carried out by several documents [ [33] , [34] , [35] , [36] ]. In some of them, a range of air temperature and moisture is set as the proper conditions of comfort.…”

Section: Ranges Of Hygrothermal Comfortmentioning

confidence: 99%

Comprehensive assessment for hygrothermal comfort with heat and mass fluxes through a clothing layer during cooling seasons

Oropeza-Perez

2024

Heliyon

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Section: Ranges Of Hygrothermal Comfortmentioning

confidence: 99%

Comprehensive assessment for hygrothermal comfort with heat and mass fluxes through a clothing layer during cooling seasons

Oropeza-Perez

2024

Heliyon

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“…The thermal sensation vote used can be detailed according to each variable used. TSV is a thermal perception variable that is used to find thermal perception based on international standards from ASHRAE (Feng et al, 2022). TSV has dependence on regional diversity factors such as climate, building typology, demographics, and culture.…”

Section: Disscussionmentioning

confidence: 99%

Thermal Investigation at Wonosobo Market, Indonesia

Hermawan

2023

JARE

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Thermal comfort is one of the factors influencing the success of the building as a place of human activity. Market building in Indonesia plays an essential role in trading activity. The thermal conditions of the Wonosobo market have problems in realizing the thermal comfort of building users. This research aims to investigate the thermal situation of Wonosobo Market, Indonesia. The research method uses quantitative and qualitative methods. Measurements were made using an infrared thermometer. Subjective measures were carried out on 100 respondents. The results show that the Wonosobo Market building has not been able to meet the expectations of building users. The thermal performance of the Wonosobo Market needs to be improved to comfortably accommodate the activities of building users.

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“…One solution is to use physiological signals, such as electroencephalography (EEG), skin temperature, galvanic skin response, and heart rate [ 6 , 7 ]. For example, Yao et al investigated the relationship between thermal comfort and physiological signals, such as EEG, skin temperature, and electrocardiogram, by manipulating the ambient temperature [ 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

Classification of pleasantness of wind by electroencephalography

Maruyama,

Nakamura,

Tsuji

et al. 2024

PLoS ONE

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Thermal comfort of humans depends on the surrounding environment and affects their productivity. Several environmental factors, such as air temperature, relative humidity, wind or airflow, and radiation, have considerable influence on the thermal comfort or pleasantness; hence, these are generally controlled by electrical devices. Lately, the development of objective measurement methods for thermal comfort or pleasantness using physiological signals is receiving attention to realize a personalized comfortable environment through the automatic control of electrical devices. In this study, we focused on electroencephalography (EEG) and investigated whether EEG signals contain information related to the pleasantness of ambient airflow reproducing natural wind fluctuations using machine learning methods. In a hot and humid artificial climate chamber, we measured EEG signals while the participants were exposed to airflow at four different velocities. Based on the reported pleasantness levels, we performed within-participant classification from the source activity of the EEG and obtained a classification accuracy higher than the chance level using both linear and nonlinear support vector machine classifiers as well as an artificial neural network. The results of this study showed that EEG is useful in identifying people’s transient pleasantness when exposed to wind.

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Data-driven personal thermal comfort prediction: A literature review

Cited by 55 publications

References 74 publications

Comprehensive assessment for hygrothermal comfort with heat and mass fluxes through a clothing layer during cooling seasons

Comprehensive assessment for hygrothermal comfort with heat and mass fluxes through a clothing layer during cooling seasons

Thermal Investigation at Wonosobo Market, Indonesia

Classification of pleasantness of wind by electroencephalography

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