论文标题
冠状病毒接触跟踪:评估使用蓝牙接收信号强度以检测的潜力
Coronavirus Contact Tracing: Evaluating The Potential Of Using Bluetooth Received Signal Strength For Proximity Detection
论文作者
论文摘要
我们报告了在各种常见的现实世界中,在移动手机上采取的蓝牙低能(LE)的测量值。我们注意到,一个关键的困难是获得了人们何时彼此靠近的地面真理。对这个地面真理的了解对于准确评估蓝牙LE检测到的接触事件的准确性很重要。我们通过采用基于方案的方法来解决这个问题。总而言之,我们发现蓝牙LE接收的信号强度可能会大大差异,具体取决于手机的相对方向,人体吸收,建筑物和火车中无线电信号的反射/吸收。确实,我们观察到接收的信号强度不必随着距离的增加而降低。这表明,基于蓝牙LE接收信号强度的准确方法的开发可能会具有挑战性。我们的测量还表明,将蓝牙LE接触跟踪应用程序与采用新社会协议的使用结合使用可能会产生好处,但这需要进一步调查。例如,在会议期间将手机放在桌子上可能会使用接收的信号强度简化接近度检测。同样,携带手提包的手提包靠近外表面。在信号传播的复杂性使使用接收的信号强度有问题的进入/退出位置的位置可以通过例如扫描时间变化的QR码之类的。
We report on measurements of Bluetooth Low Energy (LE) received signal strength taken on mobile handsets in a variety of common, real-world settings. We note that a key difficulty is obtaining the ground truth as to when people are in close proximity to one another. Knowledge of this ground truth is important for accurately evaluating the accuracy with which contact events are detected by Bluetooth LE. We approach this by adopting a scenario-based approach. In summary, we find that the Bluetooth LE received signal strength can vary substantially depending on the relative orientation of handsets, on absorption by the human body, reflection/absorption of radio signals in buildings and trains. Indeed we observe that the received signal strength need not decrease with increasing distance. This suggests that the development of accurate methods for proximity detection based on Bluetooth LE received signal strength is likely to be challenging. Our measurements also suggest that combining use of Bluetooth LE contact tracing apps with adoption of new social protocols may yield benefits but this requires further investigation. For example, placing phones on the table during meetings is likely to simplify proximity detection using received signal strength. Similarly, carrying handbags with phones placed close to the outside surface. In locations where the complexity of signal propagation makes proximity detection using received signal strength problematic entry/exit from the location might instead be logged in an app by e.g. scanning a time-varying QR code or the like.