Supervised machine learning of thermal comfort under different indoor temperatures using EEG measurements

• Main Authors: Shan, Xin, Yang, En-Hua
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Civil engineering; Machine Learning; Thermal Comfort
• Online Access: https://hdl.handle.net/10356/159612
• Institution: Nanyang Technological University

In this paper, machine learning techniques in conjunction with passive EEG (electroencephalogram) measurement were explored to classify occupants’ real-time thermal comfort states, which have the potential in the future for energy saving through adopting time varying set points when real-time change...