Contactless monitoring and classification of human motion activities by using SFCW radar

Abstract

A contactless monitoring system for daily human activities using a stepped-frequency continuous wave (SFCW) is investigated in this paper. To detect and classify the daily human activities in a fast and accurate fashion, the phase information of the received signals is processed to determine the high-resolution range profile (HRRP), the instantaneous velocity, acceleration, and jerk. Preliminary simulation and experimental results demonstrate the potential of the proposed system for better monitoring and classifying of daily human activities using SFCW radar.