Abstract
Thermal comfort in humans has been evaluated using predicted mean vote (PMV) based on factors such as clothing and activity levels of an individual to address their satisfaction with the thermal environment. However, PMV does not consider the physiological and psychological factors associated with thermal comfort. A person may feel dissatisfied in an environment that is thermally comfortable for others; this can be calculated by applying heart rate variability (HRV) to the comfort index by measuring the ECG data of the body. Currently, various types of wearable IoT sensors are available for measuring HRV characteristics. In this study, we analyzed the HRV parameters in the human body to evaluate the thermal comfort of the occupant. A data measurement and analysis method using different HRV sensors was developed to determine the feasibility of HRV as a physiological response to the thermal comfort model of the occupant. The characteristic changes in the measured HRV values were analyzed in standard indoor and outdoor environmental conditions.
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