Demo Abstract: Technology-agnostic Approach to RF based Human Activity Recognition

Chao Yang, Xuyu Wang, Shiwen Mao

Abstract: Human activity recognition (HAR), as an essential component of many emerging smart applications, has attracted an increasing interest in recent years. Various radio-frequency (RF) sensing technologies, such as Radio-Frequency Identification (RFID), WiFi, and RF radar, have been utilized for developing non-invasive HAR systems. However, most of the RF based HAR solutions are closely designed for the specific, chosen RF technology, which incurs a significant barrier for the wide deployment of such systems. In this demo, we present at technology- a gnostic approach for RF -based HAR, termed TARF, which aims to overcome such constraints and perform HAR with various RF sensing technologies.