Continuous Human Height Estimation Using Millimeter Wave Radar in Home Monitoring

• Published in: 2025 IEEE International Workshop on Radio Frequency and Antenna Technologies (iWRF&AT) pp. 260 - 265
• Main Authors: Li, Zihao, Yang, Zhaocheng, Chu, Ping, Zhou, Jianhua
• Format: Conference Proceeding
• Language: English
• Published: IEEE 23.05.2025
• Subjects: Accuracy; Estimation; Height estimation; Millimeter wave radar; Monitoring; Point cloud compression; Robustness; Signal processing
• DOI: 10.1109/iWRFAT65352.2025.11102924

Continuous human height estimation is a critical component of health assessments and holds significant value in monitoring various health conditions. In this paper, we propose a continuous human height estimation method using millimeter-wave radar in a home environment. The core of this method involves accumulating micro-motion point clouds that accurately reflect height characteristics for continuous human height estimation from a large number of cross-time observations. Firstly, we continuously compute point clouds in two distinct states, namely dynamic and micro-motion. Secondly, we select point clouds that are indicative of height-related features from the micro-motion point clouds of a resting subject. Finally, a clustering-based method is used for height estimation. Experimental results indicate that the proposed method exhibits high consistency and a relatively low level of bias, confirming that millimeter-wave radar is capable of providing accurate and reliable height estimations during continuous monitoring.