• DocumentCode
    2605691
  • Title

    Displacement Measurement Algorithm Using Handheld Device with Accelerometer

  • Author

    Chen, Tianhuang ; Hu, Weiyi ; Sun, Ran

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2010
  • fDate
    17-18 April 2010
  • Firstpage
    122
  • Lastpage
    126
  • Abstract
    Analysis a large amounts of data acquired by a accelerometer embeded in a handheld device for figuring out the characteristics of the acceleration samples. In order to get a higher precision result of displacement after twice integration, samples are imposed a series of filtering and amendments on the basisi of the application. While de-noising the noise inducted by the accelerometer infrastructure, a dynamic adjustment mechanism is introduced to adust the filter parameters. That makes the stillness detection algorithm more effective. Experiments show that although the robustness needs to be improved, the algorithm has reached a good accuracy, this research lays a foundation for further study.
  • Keywords
    accelerometers; displacement measurement; filtering theory; signal denoising; accelerometer; displacement measurement; filter parameters; handheld device; stillness detection algorithm; Acceleration; Accelerometers; Biosensors; Displacement measurement; Handheld computers; Intelligent sensors; Mechanical sensors; Optical sensors; Signal processing algorithms; Tactile sensors; accelerometer; displacement; dynamic adjustment; integration; shimmy; stillness detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wearable Computing Systems (APWCS), 2010 Asia-Pacific Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-6467-8
  • Electronic_ISBN
    978-1-4244-6468-5
  • Type

    conf

  • DOI
    10.1109/APWCS.2010.37
  • Filename
    5481223