• DocumentCode
    138440
  • Title

    Fall Detection Systems for Elderly Care: A Survey

  • Author

    Mohamed, Otmani ; Ho-Jin Choi ; Iraqi, Y.

  • Author_Institution
    Khalifa Univ., Sharjah, United Arab Emirates
  • fYear
    2014
  • fDate
    March 30 2014-April 2 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    With the introduction of new technology in our daily life, it is essential that this technology is used for the aid of the elderly. Falls cause a very high risk to the elderly´s life. Accordingly, this paper´s focus is on technology that would aid the elderly. These technologies include: Wearable- based, audio- based, and video-based fall detection systems. This paper surveys the literature regarding fall detection algorithms using those three branches and the various sensors they employ. Looking at wearable technology, the technology is cheap and accurate but inconvenient. Audio-based technology on the other hand is more convenient and is cheaper than video-based technology. However audio-based technology is hard to set up compared to video and wearable-based technologies. Video- based technology is accurate and easy to set up. At the moment, video-based technology is the most expensive compared to the other two, and it is also prone to occlusion. However as homes become smarter and prices for cameras continue to drop, it is expected that this technology will be the best of the three due to its versatility.
  • Keywords
    audio signal processing; geriatrics; object detection; patient care; ubiquitous computing; video signal processing; audio-based fall detection system; daily life; elderly care; elderly life; video-based fall detection system; wearable technology; wearable-based fall detection system; Acceleration; Accelerometers; Feature extraction; Microphones; Senior citizens; Support vector machines; Vibrations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    New Technologies, Mobility and Security (NTMS), 2014 6th International Conference on
  • Conference_Location
    Dubai
  • Type

    conf

  • DOI
    10.1109/NTMS.2014.6814018
  • Filename
    6814018