• 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