Movement analysis during sleep using an IR-UWB radar sensor

Abstract

An IR-UWB radar sensor could be used to monitor vital signs such as breathing, heartbeat rate, and movement during sleep with non-contact method. In most sleep monitoring system, heartbeat rate and respiration are mostly analyzed. In this paper, we propose an algorithm for analyzing the human body movements during sleep using an IR-UWB radar sensor. To catch the detail movements, we minimized the transition time for calculating a movement index. The movements are categorized as four kinds based on the moving part of body. The four parts are arms, legs, head, and body. Each part is also divided as three grades based on the moving degree. To prove the performance of our algorithm, we tested in real-world during 1 night. The test result proved utility of the proposed algorithm.