Abedi Hajar, Ansariyan Ahmad, Hedge Eric T, Mastrandrea Carmelo J, Morita Plinio P, Boger Jennifer, Wong Alexander, Hughson Richard L, Shaker George
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada.
Schlegel-UW Research Institute for Aging, University of Waterloo, Waterloo, Ontario, N2J 0E2, Canada.
Sci Rep. 2025 Aug 25;15(1):31166. doi: 10.1038/s41598-025-97757-y.
This paper presents a multi-person gait monitoring system designed for efficient operation in cluttered environments. The system demonstrates robust capabilities in tracking multiple closely spaced individuals and accurately extracting the walking speed, even in the presence of others. We address two significant challenges, including enhancing radar resolution and mitigating multipath effects in cluttered settings. Our method shows remarkable accuracy, with a maximum error of 0.33 m/s and a minimum of 0.005 m/s, as validated through 25 walking tests in a bedrest study. Its adaptability makes it a valuable clinical tool, offering insights for predicting underlying health issues in older adults.
本文提出了一种多人步态监测系统,该系统专为在复杂环境中高效运行而设计。该系统在跟踪多个间距紧密的个体以及准确提取步行速度方面展现出强大的能力,即使存在其他人也不受影响。我们解决了两个重大挑战,包括提高雷达分辨率和减轻复杂环境中的多径效应。通过卧床研究中的25次步行测试验证,我们的方法显示出卓越的准确性,最大误差为0.33米/秒,最小误差为0.005米/秒。其适应性使其成为一种有价值的临床工具,可为预测老年人潜在健康问题提供见解。