Literature DB >> 23367262

Radar walk detection in the apartments of elderly.

Calvin E Phillips1, James Keller, Mihail Popescu, Marjorie Skubic, Marilyn J Rantz, Paul E Cuddihy, Tarik Yardibi.   

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.

Mesh:

Year:  2012        PMID: 23367262     DOI: 10.1109/EMBC.2012.6347327

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  Quantitative gait measurement with pulse-Doppler radar for passive in-home gait assessment.

Authors:  Fang Wang; Marjorie Skubic; Marilyn Rantz; Paul E Cuddihy
Journal:  IEEE Trans Biomed Eng       Date:  2014-04-23       Impact factor: 4.538

2.  Developing a system that can automatically detect health changes using transfer times of older adults.

Authors:  Greet Baldewijns; Stijn Luca; Bart Vanrumste; Tom Croonenborghs
Journal:  BMC Med Res Methodol       Date:  2016-02-20       Impact factor: 4.615

  2 in total

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