HeatWatch:使用智能手表预防中暑

Takashi Hamatani, A. Uchiyama, T. Higashino
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引用次数: 7

摘要

在本文中,我们提出了一个新的应用程序,HeatWatch,它可以通过确保用户的休息和水摄入量来预测中暑并防止中暑。该应用程序基于人体热模型和智能手表上的重要传感器来估计用户的核心温度。我们还设计了一款应用程序,假设将现有的活动识别技术应用于智能手表内的加速度传感器,从而跟踪用户的饮水量。我们讨论了如何检测中暑体征,并通过超过100小时的真实数据集评估了其性能。最后,结果表明,我们的方法能够在6分钟内实现早/晚通知,以超过0.9的召回率和0.53的精度即时通知高温状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
HeatWatch: Preventing heatstroke using a smart watch
In this paper, we present a novel application, HeatWatch, which predicts heatstroke and prevents heatstroke by ensuring users breaking and water intake. The application estimates user's core temperature based on human thermal model and vital sensors equipped with smart watches. We also designed the application tracks user's water intake by assuming to apply existing activity recognition technique to acceleration sensors inside a smart watch. We have discussed how to detect heatstroke sign and evaluated its performance through a real data set over 100 hours. Finally, the result showed that our method is able to instantly notify high temperature states with more than 0.9 recall and 0.53 precision by allowing early/late notification within 6 minutes.
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