Random forest based thermal comfort prediction from gender-specific physiological parameters using wearable sensing technology

Random forest based thermal comfort prediction from gender-specific physiological parameters... Article history: Prior knowledge of occupants’ thermal comfort can facilitate informed control decision of ambient Received 25 November 2017 thermal-conditioning in a building environment. This paper investigates the possibility to predict hu- Revised 9 February 2018 man thermal state (Comfort/Discomfort) from the information of physiological parameters. As gender Accepted 16 February 2018 difference has been widely linked with thermal comfort perception, a four-fold objective is adopted: Available online 20 February 2018 first, investigating gender differences in subjective thermal perception; second, investigating gender dif- ferences in physiological response under different thermal states; third, identifying those physiological Keywords: Thermal comfort features that have the potential to predict thermal state, and fourth, establishing a data-driven thermal Gender state prediction model for each gender group using the identified features. Human subject experiments Subjective response were conducted, during which five physiological responses (hand skin temperature ST , hand skin con- Physiological response ductance SC , pulse rate PR, blood oxygen saturation SpO , blood pressure BP) and four subjective re- h 2 Thermal comfort prediction sponses (thermal comfort, thermal preference, humidity sensation, airflow sensation) were recorded in Random forest conjunction with a thermal sensation survey while environmental conditions varied from cold/cool to neutral levels http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Energy and Buildings Elsevier

Random forest based thermal comfort prediction from gender-specific physiological parameters using wearable sensing technology

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Publisher
Elsevier
Copyright
Copyright © 2018 Elsevier B.V.
ISSN
0378-7788
eISSN
1872-6178
D.O.I.
10.1016/j.enbuild.2018.02.035
Publisher site
See Article on Publisher Site

Abstract

Article history: Prior knowledge of occupants’ thermal comfort can facilitate informed control decision of ambient Received 25 November 2017 thermal-conditioning in a building environment. This paper investigates the possibility to predict hu- Revised 9 February 2018 man thermal state (Comfort/Discomfort) from the information of physiological parameters. As gender Accepted 16 February 2018 difference has been widely linked with thermal comfort perception, a four-fold objective is adopted: Available online 20 February 2018 first, investigating gender differences in subjective thermal perception; second, investigating gender dif- ferences in physiological response under different thermal states; third, identifying those physiological Keywords: Thermal comfort features that have the potential to predict thermal state, and fourth, establishing a data-driven thermal Gender state prediction model for each gender group using the identified features. Human subject experiments Subjective response were conducted, during which five physiological responses (hand skin temperature ST , hand skin con- Physiological response ductance SC , pulse rate PR, blood oxygen saturation SpO , blood pressure BP) and four subjective re- h 2 Thermal comfort prediction sponses (thermal comfort, thermal preference, humidity sensation, airflow sensation) were recorded in Random forest conjunction with a thermal sensation survey while environmental conditions varied from cold/cool to neutral levels

Journal

Energy and BuildingsElsevier

Published: May 1, 2018

References

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