论文标题
注意差距：使用超声波和蓝牙跨多个智能手机的实时分散距离估计
Mind The Gap: Real-time Decentralized Distance Estimation using Ultrasound and Bluetooth across Multiple Smartphones
论文作者
论文摘要
需要强大的低成本解决方案来维持COVID-19大流行期间的社会距离准则。我们建立了一种方法，可以测量多个手机之间的距离，而绝对误差中位数为8.5 cm。该应用程序使用近乎启动信号的飞行时间实时工作，提供了足够的响应能力的警报，可在设备在用户口袋中，并且以步行速度行驶。该方法是分散的，不需要其他硬件，并且可以在没有互联网连接的情况下在后台操作。我们没有特定于设备的要求，也不需要任何手动校准或设备同步。在过去的5年中，它已经从Android和iOS系统进行了20多个不同的手机模型进行了测试。据我们所知，这是第一个成功的实现，并且在发布时拥有25000名用户。
Robust, low-cost solutions are needed to maintain social distancing guidelines during the COVID-19 pandemic. We establish a method to measure the distance between multiple phones across a large number of closely spaced smartphones with a median absolute error of 8.5~cm. The application works in real-time, using Time of Flight of near-ultrasound signals, providing alerts with sufficient responsiveness to be useful for distancing while devices are in users pockets and they are moving at walking speed. The approach is decentralized, requires no additional hardware, and can operate in the background without an internet connection. We have no device-specific requirements nor need any manual calibration or device synchronization. It has been tested with over 20 different phones models, from both the Android and iOS systems in the past 5 years. To the best of our knowledge, this is the first successful such implementation, and has 25000 users at time of publishing.
