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Estimation of Thermal Sensation Based on Wrist Skin Temperatures

机译:基于腕部皮肤温度的热感估计

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摘要

Thermal comfort is an essential environmental factor related to quality of life and work effectiveness. We assessed the feasibility of wrist skin temperature monitoring for estimating subjective thermal sensation. We invented a wrist band that simultaneously monitors skin temperatures from the wrist (i.e., the radial artery and ulnar artery regions, and upper wrist) and the fingertip. Skin temperatures from eight healthy subjects were acquired while thermal sensation varied. To develop a thermal sensation estimation model, the mean skin temperature, temperature gradient, time differential of the temperatures, and average power of frequency band were calculated. A thermal sensation estimation model using temperatures of the fingertip and wrist showed the highest accuracy (mean root mean square error [RMSE]: 1.26 ± 0.31). An estimation model based on the three wrist skin temperatures showed a slightly better result to the model that used a single fingertip skin temperature (mean RMSE: 1.39 ± 0.18). When a personalized thermal sensation estimation model based on three wrist skin temperatures was used, the mean RMSE was 1.06 ± 0.29, and the correlation coefficient was 0.89. Thermal sensation estimation technology based on wrist skin temperatures, and combined with wearable devices may facilitate intelligent control of one’s thermal environment.
机译:热舒适性是与生活质量和工作效率相关的重要环境因素。我们评估了腕部皮肤温度监测在评估主观热感方面的可行性。我们发明了一种腕带,该腕带可同时监视腕部(即the动脉和尺动脉区域以及上腕部)和指尖的皮肤温度。从八位健康受试者获得皮肤温度,同时热感觉变化。为了建立热感觉估计模型,计算了平均皮肤温度,温度梯度,温度的时间差以及频带的平均功率。使用指尖和腕部温度的热感估计模型显示出最高的准确性(均方根误差[RMSE]:1.26±0.31)。基于三个腕部皮肤温度的估计模型显示的结果比使用单个指尖皮肤温度的模型要好一些(平均RMSE:1.39±0.18)。当使用基于三个腕部皮肤温度的个性化热感估计模型时,平均RMSE为1.06±0.29,相关系数为0.89。基于腕部皮肤温度的热感估算技术,与可穿戴设备结合使用,可能有助于智能控制一个人的热环境。

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