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Vol. 5 No. 1 (2019)
Special Issue: Proceedings of CVIS 2019

Articles

Integration of Random Forests and MM-Wave FMCW Radar Technology for Gait Recognition

Published 2020-01-02

  • Hajar Abedi
    • ,
  • Clara Magnier
    • ,
  • Jennifer Boger
    • ,
  • Plinio Morita
    • ,
  • Alexander Wong
    • ,
  • George Shaker

Abstract

Technologies that identify and monitor walking, and other charac-
teristics could support detection, evaluation, and monitoring of pa-
rameters related to changes in mobility, cognition, and frailty. Inte-
grating with a Random Forests classifier, we develop an ultrahigh-
frequency FMCW (frequency modulated continuous wave) radar
sensor that can distinguish walking from other activities.

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