RF Sensing in the Internet of Things: A General Deep Learning Framework

Xuyu Wang, Xiangyu Wang, Shiwen Mao

Abstract: In this article, we propose a general deep learning framework for RF sensing in the IoT. We first present the proposed framework, and then review various RF sensing techniques, deep learning techniques, and canonical RF sensing applications. We apply the proposed framework to fingerprinting, activity recognition, and vital sign monitoring using WiFi CSI and present experimental results. We conclude this article with a discussion of research challenges and open problems.