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Thermal comfort is an important factor for the design of buildings. Although it has been well recognized that many physiological parameters are linked to the state of thermal comfort or discomfort of humans, how to use physiological signal to judge the state of thermal comfort has not been well studied. In this paper, the feasibility of continuously determining feelings of personal thermal comfort was discussed by using electroencephalogram (EEG) signals in private space. In the study, 22 subjects were exposed to thermally comfortable and uncomfortably hot environments, and their EEG signals were recorded. Spectral power features of the EEG signals were extracted, and an ensemble learning method using linear discriminant analysis or support vector machine as a sub-classifier was used to build the discriminant model. The results show that an average discriminate accuracy of 87.9% can be obtained within a detection window of 60 seconds. This study indicates that it is feasible to distinguish whether a person feels comfortable or too hot in their private space by multi-channel EEG signals without interruption and suggests possibility for further applications in neuroergonomics. K E Y W O R D S EEG-based individual thermal comfort model, electroencephalogram, linear discriminant analysis, power spectral density, support vector machine, thermal comfort How to cite this article: Wu M, Li H, Qi H. Using electroencephalogram to continuously discriminate feelings of personal thermal comfort between uncomfortably hot and comfortable environments. Indoor Air. 2020;30:534-543.

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To maintain desirable indoor temperature is one of the key functions of buildings. On the one hand, indoor temperature control is an important factor affecting building energy consumption. A large proportion of global energy consumption comes from buildings, in which heating, ventilation, and air conditioning (HVAC) systems play an important role. [1][2][3][4] For example, buildings account for 38.9% of the total primary energy use in the United States, of which 34.8% are used for HVAC systems to obtain thermal comfort. 5 On the other hand, the temperature inside a building has an important effect on its occupants. Studies have found that when people experience

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