Radar placement for fall detection: Signature and performance-Reference-Cited by-同舟云学术

Radar placement for fall detection: Signature and performance

Published:2018-01-17 Issue:1 Volume:10 Page:21-34
ISSN:1876-1372
Container-title:Journal of Ambient Intelligence and Smart Environments
language:
Short-container-title:AIS

Author:

Su Bo Yu¹,Ho K.C.¹,Rantz Marilyn²,Skubic Marjorie¹

Affiliation:

1. Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA. E-mails: bsdg6@mail.missouri.edu, hod@missouri.edu, SkubicM@missouri.edu

2. School of Nursing, University of Missouri, Columbia, MO, USA. E-mail: RantzM@missouri.edu

Publisher

IOS Press

Subject

Software

Reference21 articles.

1. M.G. Amin, Y.D. Zhang and B. Boashash, igh-resolution time-frequency distributions for fall detection, in: Proc. SPIE, Baltimore, USA, 2015.

2. Micro-Doppler-based human activity classification using the mote-scale bumblebee radar;Cagliyan;IEEE Geosci. Remote Sens. Lett.,2015

3. I. Daubechies, Ten Lectures on Wavelets, SIAM, 1992.

4. A. Gadde, M.G. Amin, Y.D. Zhang and F. Ahmad, Fall detection and classification based on time-scale radar signal characteristics, in: Proc. SPIE, Baltimore, USA, 2014.

5. Embedded DSP-based telehealth radar system for remote in-door fall detection;Garripoli;IEEE J. Biomed. Health Inform.,2015

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