Authors:
Maha Reda
1
;
Aly Chkeir
1
;
Racha Soubra
1
and
Mohamad Nassereddine
2
Affiliations:
1
University of Technology of Troyes, Troyes and France
;
2
Lebanese University, Faculty of Sciences, Hadath and Lebanon
Keyword(s):
Frailty, Radar-doppler, Velocity, Irregular Sampling, Vicon.
Related
Ontology
Subjects/Areas/Topics:
Applications and Uses
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Devices
;
Distributed and Mobile Software Systems
;
Health Engineering and Technology Applications
;
Health Information Systems
;
Home Monitoring and Assisted Living Applications
;
Human-Computer Interaction
;
Mobile Technologies
;
Mobile Technologies for Healthcare Applications
;
Neural Rehabilitation
;
Neurotechnology, Electronics and Informatics
;
Physiological Computing Systems
;
Sensor Networks
;
Software Engineering
;
Wearable Sensors and Systems
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%).