Estimating core body temperature based on human thermal model using wearable sensors

Monitoring body core temperature is important to prevent heat stroke. Core temperature is often measured as rectal or tympanic temperature which is difficult to monitor during activities. In this paper, we propose a method to estimate core temperature based on the two-node human thermal model by using wearable sensors. For accurate estimation, infeasible sets of parameter values representing individual differences are filtered by comparing sensor measurements and simulation results based on the two-node model. The real experiments with 7 subjects have revealed that the proposed method achieves --0.07°C error in core temperature estimation for 60 minute walking.