Quantitative Gait Measurement with Wave Doppler-radar for Elderly Walking Speed Recognition

Maha Reda, Aly Chkeir, Racha Soubra, Mohamad Nassereddine

2019

Abstract

This paper studies the use of a device based on a Doppler sensor in estimating the gait velocity in a environment. It provides signals of the instantaneous velocity with an irregular time sampling. A high accuracy motion capture system, Vicon, was employed to provide the reference data for device evaluation. The gait parameters have been validated with a Vicon motion capture system in our lab. A proper algorithm based on the Lomb-Scargle periodogram was proposed to extract features from the radar signals such as the dominant frequency and the number of steps performed. These features were then used to calculate gait parameters such as the gait velocity and the step duration on a 5m walking sequence at a normal pace. The results showed the reliability of the Doppler device in estimating the gait velocity (mean error = 5.1%).

Paper Citation

in Harvard Style

Reda M., Chkeir A., Soubra R. and Nassereddine M. (2019). Quantitative Gait Measurement with Wave Doppler-radar for Elderly Walking Speed Recognition. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 5: HEALTHINF; ISBN 978-989-758-353-7, SciTePress, pages 410-414. DOI: 10.5220/0007521604100414

in Bibtex Style

@conference{healthinf19,
author={Maha Reda and Aly Chkeir and Racha Soubra and Mohamad Nassereddine},
title={Quantitative Gait Measurement with Wave Doppler-radar for Elderly Walking Speed Recognition},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 5: HEALTHINF},
year={2019},
pages={410-414},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007521604100414},
isbn={978-989-758-353-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 5: HEALTHINF
TI - Quantitative Gait Measurement with Wave Doppler-radar for Elderly Walking Speed Recognition
SN - 978-989-758-353-7
AU - Reda M.
AU - Chkeir A.
AU - Soubra R.
AU - Nassereddine M.
PY - 2019
SP - 410
EP - 414
DO - 10.5220/0007521604100414
PB - SciTePress