Poster Abstract: A Vision-Based Approach for Commodity WiFi Sensing
Poster Abstract: A Vision-Based Approach for Commodity WiFi Sensing
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海报摘要：基于视觉的商品 WiFi 传感方法
DOI：
10.1145/3560905.3568068
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Yang, Jie
中科院分区：
文献类型：
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作者：
Ren, Yili;Wang, Yichao;Chen, Yingying;Yang, Jie
无处不在的WiFi信号为我们提供了感知人类活动和物理环境的机会。在这项工作中，我们采用分层方法设计了一种基于视觉的商品WiFi传感方法。具体来说，下一代WiFi支持更多的天线，可以提供信号反射的空间信息，这使得基于视觉的WiFi传感方法成为可能。为了更好地利用信号反射的空间形成并实现新兴应用，我们提供了一个整体的分层框架，包括硬件，物理层，深度学习层和应用层以及案例研究。提出的分层方法对未来WiFi传感的研究具有一定的启发意义。
The ubiquitous WiFi signals provide us the opportunity to sense human activities and the physical environment. In this work, we take a layered approach to design a vision-based method for commodity WiFi sensing. Specifically, the next-generation WiFi supports a larger number of antennas that can provide spatial information of the signal reflections, which enables a vision-based approach for WiFi sensing. To better leverage the spatial formation of the signal reflections and fulfill emerging applications, we provide a holistic layered framework including hardware, physical, deep learning, and application layers as well as a case study. The proposed layered approach could enlighten the research on future WiFi sensing.