• DocumentCode
    3536984
  • Title

    The Elderly Fall Risk Assessment and Prediction Based on Gait Analysis

  • Author

    Jiang, Susu ; Zhang, Bofeng ; Wei, Daming

  • Author_Institution
    Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
  • fYear
    2011
  • fDate
    Aug. 31 2011-Sept. 2 2011
  • Firstpage
    176
  • Lastpage
    180
  • Abstract
    In this paper, a cell phone and a three dimension accelerometer are used to develop a simple fall risk prediction system. Accelerometer offers a practical and low cost method of objectively monitoring human walking. This paper gives the gait stability and gait symmetry definition only under the data conditions of acceleration. According to the gait model, the stability and symmetry of gait are analyzed and calculated, at last not only the individual´s gait can be evaluated, but it also constituted a gait assessment model. The proposed gait assessment model can be used to predict the fall risk of walking subject. The experiment results show that this method achieved better performance of prediction and efficiency.
  • Keywords
    accelerometers; gait analysis; geriatrics; mobile computing; mobile handsets; patient monitoring; risk management; cell phone; elderly fall risk assessment; elderly fall risk prediction; gait analysis; gait assessment model; gait stability; gait symmetry; human walk monitoring; three dimension accelerometer; Acceleration; Accelerometers; Indexes; Legged locomotion; Senior citizens; Stability criteria; elderly person; fall prediction; fall risk; gait analysis; gait stability; gait symmetry; human walking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology (CIT), 2011 IEEE 11th International Conference on
  • Conference_Location
    Pafos
  • Print_ISBN
    978-1-4577-0383-6
  • Electronic_ISBN
    978-0-7695-4388-8
  • Type

    conf

  • DOI
    10.1109/CIT.2011.82
  • Filename
    6036745