Takashi Hamatani
ABSTRACT
In this paper, we propose a non-invasive method to estimate core temperature based on a human thermal model considering individual differences using a wrist-watch wearable sensor. The method employs the two-node model to simulate the change of core and skin temperature by calculating heat exchange between core, skin and environment and heat production in the body. The method determines the optimal parameter set representing individual thermoregulation function and physical feature through exhaustive simulation based on monitored skin temperature, ambient temperature and humidity, and heart rate.
We have evaluated our method through totally 94 hours of real experiments. The results show that our method improves the accuracy by 12% at most compared to the default individual parameter set.
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Index Terms
- Real-Time Calibration of a Human Thermal Model with Solar Radiation Using Wearable Sensors
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