Estimation of core temperature based on a human thermal model using a wearable sensor

In this work, we present a novel approach to estimate core temperature with a wrist-worn sensor and ambient sensors. Our approach estimates core temperature by combining biological and ambient information with a human thermal model which formulates heat production in a body and heat transfer between human body core, skin, and the environment based on thermal physics. For increasing accuracy, we update individual parameters in the model online by leveraging skin temperature as a reference. From real experiments, we have found a positive result showing that our method improves the accuracy by 12% to the default individual parameter set.