• DocumentCode
    1624522
  • Title

    Fall Detecting and Alarming Based on Mobile Phone

  • Author

    Zhongtang Zhao ; Yiqiang Chen ; Junfa Liu ; Zhongtang Zhao

  • fYear
    2010
  • Firstpage
    494
  • Lastpage
    497
  • Abstract
    This paper presents a system for fall detecting using off-the-shelf electronic devices to detect the fall. We use a smart phone with an embedded tri-axial accelerometer sensor. Data from the accelerometer is evaluated with a decision tree model to determine a fall. If a fall is suspected, a notification is raised to require the user´s response. If the user hurts hardly and cannot respond, the system alerts pre-specified guardian with a message via SMS. Therefore, the fallen man can be cared immediately.
  • Keywords
    accelerometers; decision trees; health care; mobile handsets; SMS; decision tree model; embedded tri-axial accelerometer sensor; fall detecting; mobile phone; off-the-shelf electronic devices; smart phone; Accelerometers; Adaptation model; Feature extraction; Legged locomotion; Mobile handsets; Sections; Senior citizens; fall detecting; health care; machine learning; pervasive computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing (UIC/ATC), 2010 7th International Conference on
  • Conference_Location
    Xian, Shaanxi
  • Print_ISBN
    978-1-4244-9043-1
  • Electronic_ISBN
    978-0-7695-4272-0
  • Type

    conf

  • DOI
    10.1109/UIC-ATC.2010.44
  • Filename
    5667127