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oaioai:openjournals.uwaterloo.ca:article/1652

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

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Publication date
2 January 2020
Publisher
University of Waterloo (Waterloo, Ontario, Canada)

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) radarsensor that can distinguish walking from other activities

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Waterloo Library Journal Publishing Service (University of Waterloo, Canada)

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Last time updated on 26/02/2020

This paper was published in Waterloo Library Journal Publishing Service (University of Waterloo, Canada).

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