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

  • 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.

Published
2020-01-02
How to Cite
Abedi, H., Magnier, C., Boger, J., Morita, P., Wong, A., & Shaker, G. (2020). Integration of Random Forests and MM-Wave FMCW Radar Technology for Gait Recognition. Journal of Computational Vision and Imaging Systems, 5(1), 2. Retrieved from https://openjournals.uwaterloo.ca/index.php/vsl/article/view/1652