Previous contact tracing systems required the users to perform many manual actions, such as installing smartphone applications, joining wireless networks, or carrying custom user devices. This increases the barrier to entry and lowers the user adoption rate. As a result, the contact tracing effectiveness is reduced. Unlike the systems above, we propose a new privacy preserving Wi-Fi and Bluetooth (BLE) contact tracing system that does not require smartphone applications, joining wireless networks, or custom user devices. Our specially built routers seamlessly track smartphones, laptops, smartwatches, BLE headphones, and tablets without any user action, but do not trace user identity. Mapping between devices and users is only carried out for confirmed cases and suspected contacts. Moreover, we can track the absolute positions of user devices within 1.0 m due to using bidirectional long short-term memory neural networks that are trained with data pre-collected by an autonomous robot. This allows public health authorities to track indirect droplet and surface transmissions that other contact tracing systems often overlook.
翻译:先前的接触跟踪系统要求用户执行许多手动行动,如安装智能手机应用程序、加入无线网络或携带自定义用户装置。这增加了进入障碍,降低了用户的采用率。因此,降低了接触跟踪的有效性。与上述系统不同的是,我们提议建立一个新的隐私保护无线和蓝牙(Blueoth)接触跟踪系统,该系统不需要智能手机应用程序,连接无线网络或自定义用户装置。我们特别建造的路由器无缝跟踪智能手机、膝上型计算机、智能监视器、低频耳机和平板电脑,不采取任何用户行动,但不追查用户身份。在设备和用户之间绘制图只对已确认的案件和可疑的联系人进行。此外,我们还可以在1.0米范围内跟踪用户装置的绝对位置,因为使用双向长的短期内存神经网络,这些网络受过自动机器人预先收集的数据的培训。这使得公共卫生当局能够跟踪间接的滴射器和地面传输,而其他接触跟踪系统经常忽略的跟踪系统。