论文标题
使用听不清的音频来改善室内 - 位置和接近感知的智能应用程序
Using Inaudible Audio to Improve Indoor-Localization- and Proximity-Aware Intelligent Applications
论文作者
论文摘要
虽然对于室内和接近感知的应用程序通常至关重要的是要知道用户是否在空间中（例如，特定的房间或办公室），但主要的挑战是，站在门口或另一侧的一侧或另一侧之间的差异很好地在大多数基于RF的方法的误差范围内。在这项工作中，我们通过利用有限的声波传播来扩大基于RF的本地化和与主动超声传感的接近检测来应对这一挑战。这种简单且具有成本效益的方法可以允许例如蓝牙智能锁来辨别用户是在家中还是外部，以便自动锁定或解锁门。我们描述了解决方案的可配置体系结构和目前的实验来验证这种方法，但也证明了不同的用户行为和应用程序需求会影响系统配置决策。最后，我们描述了可以从我们的解决方案中受益并解决隐私问题的应用程序。
While it is often critical for indoor-location- and proximity-aware applications to know whether a user is in a space or not (e.g., a specific room or office), a key challenge is that the difference between standing on one side or another of a doorway or wall is well within the error range of most RF-based approaches. In this work, we address this challenge by augmenting RF-based localization and proximity detection with active ultrasonic sensing, taking advantage of the limited propagation of sound waves. This simple and cost-effective approach can allow, for example, a Bluetooth smart-lock to discern whether a user is inside or outside their home in order to lock or unlock doors automatically. We describe a configurable architecture for our solution and present experiments that validate this approach but also demonstrate that different user behavior and application needs can impact system configuration decisions. Finally, we describe applications that could benefit from our solution and address privacy concerns.
