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

P. P. Shibaev, A. A. Chupakhin

Lomonosov Moscow State University

Abstract: 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 is considered. Two new techniques based on the discrete Kolmogorov-Wiener filter and the gated recurrent unit neural network are proposed. Human detection experiment results are presented along with algorithms' accuracy analysis.

Keywords: Wi-Fi-sensing, human detection, Kolmogorov-Wiener filter, gated recurrent neural network

Language: English

DOI: 10.15514/ISPRAS-2022-34(2)-11