• DocumentCode
    2373963
  • Title

    Mobil telefon ile kaza tespiti accident recognition using mobile phone

  • Author

    Kansiz, A.O. ; Guvensan, M.A.

  • Author_Institution
    Bilgisayar Muhendisligi Bolumu, Yildiz Teknik Univ., İstanbul, Turkey
  • fYear
    2013
  • fDate
    24-26 April 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Latest mobile phones bring many advantages to our daily life. These gadgets are usually equipped with multiple sensors, such as cameras, GPS, and accelerometers. The data collected from these sensors are used to develop several applications, such as face recognition, voice recognition, and daily activity analysis. Studies show that many accidents occur during daily activities, and we propose the idea that mobile phones can be used to recognize these accidents. Early intervention may reduce or eliminate the risk of fatal injury during an accident. In this study, we present a new mobile phone application designed for the recognition of small accidents and reporting the incident to appropriate authorities. Our test results show that the proposed system can recognize the events such as falling while walking or running with 99 percent success ratio.
  • Keywords
    accelerometers; accidents; gesture recognition; mobile computing; smart phones; GPS; accelerometers; accident recognition; cameras; daily activity analysis; face recognition; fatal injury; mobile phone application; multiple sensors; voice recognition; Accelerometers; Accidents; Cameras; Mobile communication; Sensors; Smart phones; Accelerometer; Android; accident recognition; sensor; smart phone;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2013 21st
  • Conference_Location
    Haspolat
  • Print_ISBN
    978-1-4673-5562-9
  • Electronic_ISBN
    978-1-4673-5561-2
  • Type

    conf

  • DOI
    10.1109/SIU.2013.6531242
  • Filename
    6531242