Poster: Core Temperature Estimation During Exercise Using Wearable Sensors

Core temperature is important to evaluate the effect of heat environment and/or exercise on human body. Human body usually emits its heat by thermal regulation function such as sweating and increasing of skin blood flow. However, failure of the system occurs among people who are not accustomed to hot environment. This makes core temperature extremely high, leading to dehydration, anemia and serious damage to organs. Core temperature is generally measured as rectal or tympanic temperature, although their measurement is difficult due to its invasiveness. In this work, we propose a novel method to estimate core temperature based on Gagge’s two-node model [1] and a parameter calibration method which is suitable for exercise. Compared to our previous works [2, 3], advantages of this work are the followings. (1) We propose a method to estimate core temperature in complex exercise with breaks, which is out-of-scope in the previous works. (2) We improve the parameter-calibration method to suit actual exercise. We measure core temperature after warm-up for calibration. (3) We modify some equations in the model to suit real environment. Solar radiation, wind, drinking water and thermal delay are integrated into the original model.