Proactive privacy-preserving proximity prevention through bluetooth transceivers: poster abstract
Proactive privacy-preserving proximity prevention through bluetooth transceivers: poster abstract
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DOI：
10.1145/3384419.3430608
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发表时间：
2020-11
期刊：
影响因子：
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通讯作者：
Kavit Patel;Kyle Massa;N. Raghunathan;Heng Zhang-;Ananth V. Iyer;S. Bagchi
中科院分区：
文献类型：
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作者：
Kavit Patel;Kyle Massa;N. Raghunathan;Heng Zhang-;Ananth V. Iyer;S. Bagchi
普渡大学实验室中的许多活动都需要用户移动，而这些移动无法精心编排或计划，例如在我们的硬件、制造或推进实验室中。在这样的环境中，用户自觉保持所需的安全社交距离具有挑战性。该项目提供了一种利用蓝牙传输接收信号强度（RSSI）主动监控用户之间距离的技术方法。我们使用轻量级机器学习模型将信号强度映射到距离并推断任意两个用户之间的运动方向。该技术建立在无线信号领域的长期研究基础上，其中一些研究是在我们的实验室进行的。它重量轻（可以作为用户佩戴的挂绳轻松携带）、成本低（批量生产时不到 15 美元）、保护隐私（无需与任何其他组织共享数据）、主动（在接近不安全距离之前提供警告消息）。我们已经在初步实验中证明了其有效性。
Many activities in laboratories at Purdue require user movement that cannot be carefully orchestrated or planned out, e.g., in our hardware, manufacturing, or propulsion labs. In such environments, it is challenging for users to consciously maintain the required safe social distance. This project provides a technical approach to proactively monitor the distance between users utilizing the Bluetooth transmission-reception signal strength (RSSI). We use a lightweight machine learning model to map the signal strength to the distance and infer the direction of motion between any two users. The technology builds on a long line of research in the area of wireless signals, some of which has been carried out in our lab. It is lightweight (can be easily carried as a lanyard worn by users), low cost (less than $15 when produced in bulk), privacy preserving (no data need to be shared to any other organizations), proactive (provides warning messages prior to approaching unsafe distance). We have shown its effectiveness in our preliminary experiments.