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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yardibi, T. Cuddihy, P. Genc, S. Bufi, C. Skubic, M. Rantz, M. Liang Liu Phillips, C. |
| Copyright Year | 2011 |
| Description | Author affiliation: Computing and Decision Sciences, GE Global Research, Niskayuna, NY, USA (Yardibi, T.; Cuddihy, P.; Genc, S.; Bufi, C.) || University of Missouri, Electrical and Computer Engineering Dept., Columbia, USA (Skubic, M.; Liang Liu; Phillips, C.) || University of Missouri, Sinclair School of Nursing, Columbia, USA (Rantz, M.) |
| Abstract | Falls are a major cause of injury in the elderly with almost $1/3^{rd}$ of people aged 65 and more falling each year [1]. This work aims to use gait measurements from everyday living environments to estimate risk of falling and enable improved interventions. For this purpose, we consider the use of low-cost pulse-Doppler range control radar. These radars can continuously acquire data during normal activity of a person in night and day conditions and even in the presence of obstructing furniture. A short-time Fourier transform of the radar data reveals unique Doppler signatures from the torso motion and the leg swings. Two algorithms that can extract these features from the radar spectrogram are proposed in this study for estimating gait velocity and stride durations. The performance of the proposed radar system is evaluated with experimental data, which consists of 9 different walk types and a total of 27 separate tests. A high accuracy motion-capture camera system has also been used to acquire data simultaneously with the radar and provides the ground truth reference. Results indicate that the proposed radar system is a viable candidate for gait characterization and can be used to accurately track mean gait velocity, mean stride duration and stride duration variability. The gait velocity variability can also be estimated but with relatively larger error levels. |
| Starting Page | 662 |
| Ending Page | 667 |
| File Size | 446183 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781612849386 |
| e-ISBN | 9781612849379 |
| e-ISBN | 9781612849362 |
| DOI | 10.1109/PERCOMW.2011.5766971 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-03-21 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Doppler radar Frequency estimation Leg Spectrogram Cutoff frequency Cameras |
| Content Type | Text |
| Resource Type | Article |
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