Citation

Cuddihy PE, Yardibi T, Legenzoff ZJ, Liu L, Phillips CE, Abbott CC, Galambos C, Keller J, Popescu M, Back J, Skubic M, Rantz MJ. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2012; 2012: 260-263.

Copyright

(Copyright © 2012, IEEE (Institute of Electrical and Electronics Engineers))

DOI

10.1109/EMBC.2012.6345919

PMID

23365880

Abstract

Falls are a significant cause of injury and accidental death among persons over the age of 65. Gait velocity is one of the parameters which have been correlated to the risk of falling. We aim to build a system which monitors gait in seniors and reports any changes to caregivers, who can then perform a clinical assessment and perform corrective and preventative actions to reduce the likelihood of falls. In this paper, we deploy a Doppler radar-based gait measurement system into the apartments of thirteen seniors. In scripted walks, we show the system measures gait velocity with a mean error of 14.5% compared to the time recorded by a clinician. With a calibration factor, the mean error is reduced to 10.5%. The radar is a promising sensing technology for gait velocity in a day-to-day senior living environment.

Language: en