• DocumentCode
    657045
  • Title

    Reconfigurable differentiall accelerometer platform for inertial body sensor networks

  • Author

    Jiaqi Gong ; Lach, John

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Virginia, Charlottesville, VA, USA
  • fYear
    2013
  • fDate
    3-6 Nov. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This work presents a design of a reconfigurable differential accelerometer platform for body sensor networks (BSNs) that achieves lower power and lower cost than traditional inertial sensor systems. The proposed reconfigurable platform provides six degree-of-freedom (6DoF) sensing with four tri-axial accelerometers, entirely avoiding gyroscopes, which have become a bottleneck of power and cost optimization for many BSNs. Gryo-free 6DoF sensing has been demonstrated in the past but not under BSN form factor constraints. The proposed platform includes three components: (1) differential accelerometers in a BSN-compatible configuration, (2) a reconfigurable analog circuit for adaptive sensor conditioning given this configuration, and (3) a signal reconstruction algorithm based on prior knowledge about body motions. Simulated results demonstrate accurate angular velocity estimation using the proposed platform.
  • Keywords
    accelerometers; analogue circuits; body sensor networks; signal reconstruction; BSN-compatible configuration; adaptive sensor conditioning; angular velocity estimation; gryofree 6DoF sensing; inertial body sensor networks; reconfigurable analog circuit; reconfigurable differential accelerometer platform; signal reconstruction algorithm; six degree-of-freedom sensing; triaxial accelerometers; Accelerometers; Angular velocity; Body sensor networks; Estimation; Sensors; Trajectory; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SENSORS, 2013 IEEE
  • Conference_Location
    Baltimore, MD
  • ISSN
    1930-0395
  • Type

    conf

  • DOI
    10.1109/ICSENS.2013.6688327
  • Filename
    6688327