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

• Main Authors: Zhai, Deqing, Soh, Yeng Chai, Li, Hua, Xie, Lihua, Chaudhuri, Tanaya
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2018
• Subjects: Thermal Comfort; Gender
• Online Access: https://hdl.handle.net/10356/88312; http://hdl.handle.net/10220/44833
• Institution: Nanyang Technological University

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...