Application of wearable EEG sensors for indoor thermal comfort measurements

Multidomain comfort theories have been demonstrated to interpret human thermal in buildings by employing human-centered physiological measurements coupled with environmental sensing techniques. Thermal has correlated brain activity through electroencephalographic (EEG) measurements. However, the application of low-cost wearable EEG sensors for measuring not thoroughly investigated. Wearable devices provide several advantages terms reduced intrusiveness and real-life contexts. they are prone measurement uncertainties. This study presents results from an device investigate changes frequency domain at different indoor temperatures. Twenty-three participants were enrolled, signals recorded three ambient temperatures: cold (16 °C), neutral (24 warm (31 °C). Then, analysis Power Spectral Densities (PSDs) was performed, features sensations. Statistically significant differences features, measured on both frontal temporal electrodes, found between conditions. Results bring conclusion that could be used acquisition applied measurement, but only after a dedicated signal processing remove uncertainty due artifacts.