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Energy Saving in Forward Fall Detection using Mobile Accelerometer

Author

Listed:
  • Vo Quang Viet

    (Electronic & Computer Engineering Department, Chonnam National University, Gwangju, Korea)

  • Ali Fahmi Perwira Negera

    (Electronic & Computer Engineering Department, Chonnam National University, Gwangju, Korea)

  • Hoang Minh Thang

    (Electronic & Computer Engineering Department, Chonnam National University, Gwangju, Korea)

  • Deokjai Choi

    (Electronic & Computer Engineering DepartmentChonnam National University, Gwangju, Korea)

Abstract

Fall injury is one of the biggest risks to health and well-being of the elderly especially in independent living because falling accidents may cause instant death. There are many research interests aimed to detect fall incidents. Fall detection is envisioned critical on ICT-assisted healthcare future. In addition, mobile battery is currently another serious problem in which performance feasibility is considered as a standard to verify an effective method. In this paper, the authors study forward fall detection method from mobile phone perspective using accelerometer only without sacrificing accuracy to save energy. Using peak threshold algorithm in axes of mobile accelerometer, transition from activity of daily living (ADL) to forward fall event is recognized. In collected templates, Dynamic Time Warping (DTW) was applied to compute difference among them with new unlabeled samples. Results implemented on mobile phone easily show the feasibility of the method hence contribute significantly to fall detection in healthcare.

Suggested Citation

  • Vo Quang Viet & Ali Fahmi Perwira Negera & Hoang Minh Thang & Deokjai Choi, 2013. "Energy Saving in Forward Fall Detection using Mobile Accelerometer," International Journal of Distributed Systems and Technologies (IJDST), IGI Global, vol. 4(1), pages 78-94, January.
    • Handle: RePEc:igg:jdst00:v:4:y:2013:i:1:p:78-94
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