TY - JOUR
T1 - Development of the data-driven thermal satisfaction prediction model as a function of human physiological responses in a built environment
AU - Choi, Joon Ho
AU - Yeom, Dongwoo
N1 - Funding Information:
This study was (partially) supported by the U.S. National Science Foundation Award #1707068 and the USC James H. Zumberge research and innovation fund. The authors would like to express gratitude to the USC students who volunteered for the experiments and their technical support with the experiments and data acquisition. The project was performed within the framework of the International Energy Agency Energy in Buildings and Communities programme (IEA-EBC) Annex 69 ″Strategy and Practice of Adaptive Thermal Comfort in Low Energy Buildings”.
Funding Information:
This study was (partially) supported by the U.S. National Science Foundation Award #1707068 and the USC James H. Zumberge research and innovation fund. The authors would like to express gratitude to the USC students who volunteered for the experiments and their technical support with the experiments and data acquisition. The project was performed within the framework of the International Energy Agency Energy in Buildings and Communities programme (IEA-EBC) Annex 69 ″Strategy and Practice of Adaptive Thermal Comfort in Low Energy Buildings”.
Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2019/3
Y1 - 2019/3
N2 - The purpose of this study is to investigate and determine the relationship between occupants’ thermal satisfaction and physiological responses in an office environment, and to estimate their thermal satisfaction level via human physiological signals. This study adapted the heart rate and seven local body skin temperatures as physiological signals, as well as human factors (gender, age, BMI), to determine establish a thermal satisfaction prediction model by combining human factors and physiological signals. The results revealed significant correlations between overall thermal satisfaction levels and local body skin temperatures, as well as heart rates. The heart rates showed a negative correlation with overall thermal satisfaction, and the skin temperature of the forehead, arm, wrist (back and front), chest, and belly also revealed a significant correlation with the thermal satisfaction levels of the study participants. This study also determined the order and priority of local skin temperatures (as well as gender and BMI) by their impact on thermal satisfaction. Considering all human physiological factors and practical application of the results, the local skin temperatures of the forehead, wrist (back), and gender demonstrated 88.52% accuracy for estimating thermal satisfaction, which provided significant validation for practical use of this procedure.
AB - The purpose of this study is to investigate and determine the relationship between occupants’ thermal satisfaction and physiological responses in an office environment, and to estimate their thermal satisfaction level via human physiological signals. This study adapted the heart rate and seven local body skin temperatures as physiological signals, as well as human factors (gender, age, BMI), to determine establish a thermal satisfaction prediction model by combining human factors and physiological signals. The results revealed significant correlations between overall thermal satisfaction levels and local body skin temperatures, as well as heart rates. The heart rates showed a negative correlation with overall thermal satisfaction, and the skin temperature of the forehead, arm, wrist (back and front), chest, and belly also revealed a significant correlation with the thermal satisfaction levels of the study participants. This study also determined the order and priority of local skin temperatures (as well as gender and BMI) by their impact on thermal satisfaction. Considering all human physiological factors and practical application of the results, the local skin temperatures of the forehead, wrist (back), and gender demonstrated 88.52% accuracy for estimating thermal satisfaction, which provided significant validation for practical use of this procedure.
KW - Heart rate
KW - Occupant behavior
KW - Physiological response
KW - Skin temperature
KW - Thermal satisfaction estimation
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U2 - 10.1016/j.buildenv.2019.01.007
DO - 10.1016/j.buildenv.2019.01.007
M3 - Article
AN - SCOPUS:85060111474
SN - 0360-1323
VL - 150
SP - 206
EP - 218
JO - Building and Environment
JF - Building and Environment
ER -