A Portable Continuous Wave Radar System to Detect Elderly Fall

  • Muhammad Arslan Ali
  • Malikeh Pour Ebrahim
  • Mehmet Rasit YuceEmail author
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 297)


Fall is the leading cause of death among elderly people worldwide. In this work a low power portable continuous wave radar (CWR) system is proposed to detect elderly fall. This paper presents experimental evaluation of the system to detect human fall motion among various sitting, standing and walking activities. Signals from three subjects with different heights and weights engaged with the different movement activities including walking, sitting, standing and fall in front of the proposed radar system are analyzed. Overall, 60 fall and 180 non-fall activities were recorded. The Short-time Fourier Transform (STFT) is employed to obtain time-frequency Doppler signatures of different human activities. Radar data is analysed by using MATLAB and an algorithm is employed to classify the fall on the basis of analysed data. The results show that the proposed portable CWR can be used to detect fall from non-fall activities with almost 100% accuracy.


Fall detection CWR STFT 


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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  • Muhammad Arslan Ali
    • 1
  • Malikeh Pour Ebrahim
    • 1
  • Mehmet Rasit Yuce
    • 1
    Email author
  1. 1.Department of Electrical and Computer Systems EngineeringMonash UniversityMelbourneAustralia

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