Journal of the Architectural Institute of Korea (대한건축학회논문집)

Architectural Institute of Korea (대한건축학회)
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Thermal Comfort Prediction for the Occupant based on Physiological Signals from Wearable Device

웨어러블 디바이스의 생리 신호 기반 온열 쾌적감 예측모델 개발

  • 이윤희 (연세대 일반대학원 실내건축학과) ;
  • 전정윤 (연세대 실내건축학과)
  • Received : 2021.08.05
  • Accepted : 2021.10.05
  • Published : 2021.10.30
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Abstract

Thermal comfort is essential to maintain a stress-free environment in a building. This study investigated the thermal environment to develop a thermal comfort prediction model based on physiological signals and thermal comfort-related responses obtained from a wearable device. Field experiments conducted in an office during cooling and heating seasons enabled the collection of real-time thermal comfort responses and physiological signals, such as skin temperature, heart rate, and electrodermal activity of the occupant using the wearable device. We analyzed the relationships between the thermal comfort responses, physiological factors, and thermal environment to develop an accurate thermal comfort prediction model. While the skin temperature and electrodermal activity exhibited a significant relationship with the thermal state, a low heart rate was observed in a more comfortable state. Moreover, machine learning classifiers predicted the thermal comfort state achieved an accuracy of 80% in both seasons using only physiological data. Thus, the feature importance of the random forest classifier verified that physiological factors aid the prediction of thermal states significantly. The proposed prediction model can be potentially applied in heating, ventilation, and air conditioning (HVAC) control. The high performance confirmed the use of wearable devices in identifying the thermal status of building occupants.

Keywords

Acknowledgement

이 연구는 2020년도 한국연구재단 연구비 지원 (과제번호:2020R1A2B5B01002206)과 4단계 BK21 사업의 지원을 받아 수행된 연구임.

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