HydroTrack：实现可穿戴设备实时水合监测的光谱分析原型
HydroTrack: Spectroscopic Analysis Prototype Enabling Real-Time Hydration Monitoring in Wearables
AI总结：
本研究提出HydroTrack，一种嵌入智能手表的18通道光谱传感器及边缘分析技术，用于实时监测水合状态，实验验证平均准确率达95%。
摘要：
在快速发展的可穿戴技术领域，光学设备正成为一项重大创新，为分析皮肤及皮下组织特性提供了非侵入性方法。尽管前景广阔，但专业原型和先进分析技术的缺乏减缓了其进展。针对这一空白，我们的研究推出了HydroTrack，一种巧妙嵌入智能手表中的18通道光谱传感器。伴随该硬件，我们提出了在边缘实现的信号处理和数据分析技术，旨在最大化我们系统在全面健康追踪中的效用。我们设备的一个关键应用是对身体活跃个体的实时水合水平评估。我们通过六名参与者的实验验证了我们的原型和分析方法，重点关注体育锻炼期间的水合动态。我们的研究结果显示，在确定水合状态方面，平均准确率达到95%。
英文摘要：
In the rapidly growing field of wearable technology, optical devices are emerging as a significant innovation, offering non-invasive methods for analyzing skin and underlying tissue properties. Despite their promise, progress has been slowed by a lack of specialized prototypes and advanced analysis techniques. Addressing this gap, our study introduces, HydroTrack, an 18-channel spectroscopy sensor, ingeniously embedded in a smart-watch. Accompanying this hardware, we present signal processing and data analysis techniques implemented at the edge, designed to maximize the utility of our system in comprehensive health tracking. A pivotal application of our device is the real-time assessment of hydration levels in physically active individuals. We validated our prototype and analytical approach through experiments on six participants, focusing on hydration dynamics during physical exercises. Our findings reveal an accuracy of avg. 95% in determining hydration states.
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