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

A. Uchiyama, Takashi Hamatani, T. Higashino
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引用次数: 14

Abstract

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.
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基于可穿戴式传感器人体热模型的核心温度估计
在这项工作中,我们提出了一种利用腕戴式传感器和环境传感器来估计核心温度的新方法。我们的方法通过将生物和环境信息与人体热模型相结合来估计核心温度,该模型根据热物理原理制定了体内的热量产生以及人体核心、皮肤和环境之间的热量传递。为了提高准确性,我们利用皮肤温度作为参考,在线更新模型中的各个参数。从实际实验中,我们发现了一个积极的结果,表明我们的方法比默认的单个参数集提高了12%的精度。
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