Wi-Fi sensing Human Detection with Kolmogorov-Wiener Filter and Gated Recurrent Neural Networks

Using Received Signal Strength Indicator (RSSI) values to detect human presence is a well-known Wi-Fi sensing technique. In this paper, an overview of existing algorithms solving the problem considered. Two new techniques based on discrete Kolmogorov-Wiener filter and gated recurrent unit neural network are proposed. Human detection experiment results presented along with algorithms' accuracy analysis.