Accurate personal ultraviolet dose estimation with multiple wearable sensors

Jinyang Li, Yongpan Liu, Hehe Li, Rui Hua, C. Xue, H. Lee, Huazhong Yang
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引用次数: 3

Abstract

Wearable devices begin to integrate into the daily lives along with recent technology development. One of such important applications is to accurately monitor ultraviolet (UV) radiation received by the human body. To compensate for the localized monitoring area of existing personal UV monitoring devices, this paper proposes a reconstruction method to estimate the UV dose over the entire body based on multiple discrete wearable UV sensor nodes. Ambient factors and individual factors are both considered in this paper. The proposed estimation method is validated by a range of UV data collection experiments in realistic scenarios. Experimental results show that the proposed method reduces 68.3% estimation errors on average compared with existing single sensor based methods.
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精确的个人紫外线剂量估计与多个可穿戴传感器
随着科技的发展,可穿戴设备开始融入人们的日常生活。其中一个重要的应用是精确监测人体接收到的紫外线辐射。为了弥补现有个人紫外线监测设备的局部监测区域,本文提出了一种基于多个离散可穿戴紫外线传感器节点的全身紫外线剂量重建方法。本文同时考虑了环境因素和个体因素。通过一系列实际场景下的紫外数据采集实验,验证了所提估计方法的有效性。实验结果表明,与现有的基于单传感器的估计方法相比,该方法平均降低了68.3%的估计误差。
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