Random forest based thermal comfort prediction from gender-specific physiological parameters using wearable sensing technology
Prior knowledge of occupants’ thermal comfort can facilitate informed control decision of ambient thermal-conditioning in a building environment. This paper investigates the possibility to predict human thermal state (Comfort/Discomfort) from the information of physiological parameters. As gender di...
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Main Authors: | Zhai, Deqing, Soh, Yeng Chai, Li, Hua, Xie, Lihua, Chaudhuri, Tanaya |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2018
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/88312 http://hdl.handle.net/10220/44833 |
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Institution: | Nanyang Technological University |
Language: | English |
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