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Filtering techniques using frequency analysis for inertial sensors in gait measurements

  • Edgar Charry
  • Daniel T. H. Lai
  • Rezaul K. Begg
  • Marimuthu Palaniswami
Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 25/4)

Abstract

Inertial sensors (accelerometers and gyroscopes) have recently gained attention as a promising alternative to video capture systems in studies of human movement. Secondary quantities such as velocity and displacement are calculated through integration of acceleration and angular velocities. It is now widely accepted that this technique is greatly influenced by sensor noise, non-linear and asymmetrical sensitivity/ offset signals and bias drifts. In this paper, we compare the Root Mean Square Error (RMSE) of vertical toe acceleration obtained by these sensors and derived by double differentiation from a video capture system, i.e. Optotrak Certus, NDI. Spectral analysis was performed on both accelerations using the Fast Fourier Transform to compute the correlation coefficient ρ as a function of various static band-pass filter parameters and over a range of 3 different walking speeds. RMSE and cross correlation achieved for the slowest walking speed of 2.5Km/h was 2.92m/s2 and 0.668 respectively, and 4.38m/s2 and 0.984 for the fastest speed of 4.5Km/h.

Keywords

Root Mean Square Error Inertial Measurement Unit Inertial Sensor Vertical Acceleration Slow Walking Speed 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Edgar Charry
    • 1
  • Daniel T. H. Lai
    • 2
  • Rezaul K. Begg
    • 2
  • Marimuthu Palaniswami
    • 1
  1. 1.Department of Electrical and Electronic EngineeringThe University of MelbourneMelbourneAustralia
  2. 2.Centre for Ageing, Rehabilitation, Exercise and SportVictoria UniversityMelbourneAustralia

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