• DocumentCode
    640487
  • Title

    Evaluating and overcoming the challenges in utilizing smart mobile phones and standalone accelerometer for gait analysis

  • Author

    Chan, Herman ; Huiru Zheng ; Haiying Wang ; Sterritt, Roy

  • Author_Institution
    Sch. of Comput. & Math., Comput. Sci. Res. Inst., Univ. of Ulster, Newtownabbey, UK
  • fYear
    2012
  • fDate
    28-29 June 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper aims to discuss the underlying issues with the use of accelerometers sensors within mobile devices to support gait analysis. Standalone accelerometer provides quantitative measurements of acceleration. In recent research within healthcare informatics, accelerometers have been utilised in applications such as activity recognition. However issues such as sampling rates and missing values while sampling when using accelerometers remain challenging. This research investigates these limitations and explores two different standalone accelerometers and accelerometers embedded mobile devices.
  • Keywords
    acceleration; acceleration measurement; accelerometers; biomedical equipment; biomedical measurement; computerised instrumentation; gait analysis; health care; intelligent sensors; medical diagnostic computing; pattern recognition; sampling methods; smart phones; accelerometer embedded mobile devices; activity recognition; healthcare informatics; missing values; quantitative acceleration measurement; sampling rates; smart mobile phones; standalone accelerometer sensors; support gait analysis; accelerometer; gait analysis; sampling rate; smart mobile;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Signals and Systems Conference (ISSC 2012), IET Irish
  • Conference_Location
    Maynooth
  • Electronic_ISBN
    978-1-84919-613-0
  • Type

    conf

  • DOI
    10.1049/ic.2012.0207
  • Filename
    6621186