Authors
Racha Soubra, Aly Chkeir, Farah Mourad-Chehade, Daniel Alshamaa,
Title
Doppler Radar System for In-Home Gait Characterization using Wavelet Transform Analysis
In
IEEE Engineering in Medicine and Biology Conference (EMBC)
Publisher
IEEE
Year
2019
Indexed by
Abstract
The evaluation of walking speed plays an important role in gerontology as it reflects the health and functional status of older people. In this paper, we propose the use of a Doppler radar system with continuous wavelet transform (CWT) analysis for in-home gait characterization. A methodology based on an accurate 3D motion-capture camera system (Vicon) has been developed in order to validate the suitable mother wavelet. The CWT analysis with several mother wavelets has been applied to our experimental Doppler radar signals. The Pearson Correlation coefficient (ρ) has been computed between the gait speed signals obtained from the radar and those obtained from the Vicon system. Our outcomes suggest the use of Daubechies5 and Symlets7 wavelets giving a ρ values of 0.86 and 0.85 respectively with a mean square error value less than 0.05 m/s in comparison with the correct gait speed value.
Affiliations
Offprint