Non-contact, non-visual, multi-person hallway gait monitoring.

Journal: Scientific reports
Published Date: Aug 25, 2025

Abstract

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.

Authors

  • Hajar Abedi
    Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada. habedifi@uwaterloo.ca.
  • Ahmad Ansariyan
    Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada.
  • Eric T Hedge
    Schlegel-UW Research Institute for Aging, Waterloo, Ontario, Canada.
  • Carmelo J Mastrandrea
    Schlegel-UW Research Institute for Aging, University of Waterloo, Waterloo, Ontario, N2J 0E2, Canada.
  • Plinio P Morita
    School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada.
  • Jennifer Boger
    Department of Systems Design Engineering, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada.
  • Alexander Wong
    Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada.
  • Richard L Hughson
    Faculty of Applied Health Sciences, University of Waterloo , Waterloo, Ontario , Canada.
  • George Shaker
    Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada.

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