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

Estimation of core temperature based on a human thermal model using a wearable sensor
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DOI:
10.1109/gcce.2015.7398742
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发表时间:
2015-10
期刊:
2015 IEEE 4th Global Conference on Consumer Electronics (GCCE)
影响因子:
--
通讯作者:
Akira Uchiyama;Takashi Hamatani;T. Higashino
Akira Uchiyama;Takashi Hamatani;T. Higashino
中科院分区:
其他
文献类型:
--
作者:
Akira Uchiyama;Takashi Hamatani;T. Higashino

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在这项工作中,我们提出了一种新的方法来估计核心温度与腕戴式传感器和环境传感器。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,所述人体热模型基于热物理学来制定人体中的热产生以及人体核心、皮肤和环境之间的热传递。为了提高准确性,我们通过利用皮肤温度作为参考在线更新模型中的各个参数。从真实的实验中,我们已经发现了一个积极的结果表明,我们的方法提高了12%的准确性,默认的个人参数集。
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.