DocumentCode :
2111656
Title :
Radar walk detection in the apartments of elderly
Author :
Phillips, Calvin E. ; Keller, James ; Popescu, Mihail ; Skubic, Marjorie ; Rantz, Marilyn J. ; Cuddihy, P.E. ; Yardibi, T.
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. of Missouri, Columbia, MO, USA
fYear :
2012
fDate :
Aug. 28 2012-Sept. 1 2012
Firstpage :
5863
Lastpage :
5866
Abstract :
Seniors want to live more independent lifestyles. This comes with some risks including dwindling health and major injuries due to falling. A factor that has been studied and seen to have a correlation to fall risk is change in gait speed. Our goal is to create a passive system that monitors the gait of elderly so that assessments can be given by caregivers if gait changes do occur. This paper will cover a method of using pulse-Doppler radar to detect when walks occur. In unscripted living environments, we are able to detect valid walks. The system does miss walks during the day, but when walks are detected, they are actually valid walks 91.8% of the time using a large data base of radar signals captured in living environments.
Keywords :
Doppler radar; biomechanics; geriatrics; medical signal detection; medical signal processing; elderly; falling injury; gait speed; indoor environment; passive system; pulse Doppler radar; radar walk detection; Data acquisition; Feature extraction; Legged locomotion; Medical services; Radar detection; Sensors; Accidental Falls; Aged; Humans; Walking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2012.6347327
Filename :
6347327
Link To Document :
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