NDLI: A study on band-pass filtering for calculating foot displacements from accelerometer and gyroscope sensors

Content Provider	IEEE Xplore Digital Library
Author	Charry, E. Lai, D.T.H. Begg, R.K. Palaniswami, M.
Copyright Year	2009
Description	Author affiliation: Centre for Ageing, Rehabilitation, Exercise and Sport, Victoria University, Vic 8001, Australia (Lai, D.T.H.; Begg, R.K.) \|\| Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville Campus, Vic 3010, Australia (Charry, E.; Palaniswami, M.)
Abstract	As a promising alternative to laboratory-constrained video capture systems in studies of human movement, inertial sensors (accelerometers and gyroscopes) are recently gaining popularity. Secondary quantities such as velocity, displacement and joint angles can be calculated through integration of acceleration and angular velocities. It is broadly accepted that this procedure is significantly influenced by accumulative errors due to integration, arising from sensor noise, non-linearities, asymmetries, sensitivity variations and bias drifts. In this paper, we assess the effectiveness of applying band-pass filtering to raw inertial sensor data under the assumption that sensor drift errors occur in the low frequency spectrum. The normalized correlation coefficient ρ of the Fast Fourier Transform (FFT) spectra corresponding to vertical toe acceleration from inertial sensors and from a video capture system as a function of digital band-pass filter parameters is compared. The Root Mean Square Error (RMSE) of the vertical toe displacement for 30 second walking windows is calculated for 2 healthy subjects over a range of 4 walking speeds. The lowest RMSE and highest cross correlation achieved for the slowest walking speed of 2.5Km/h was 3.06cm and 0.871 respectively, and 2.96cm and 0.952 for the fastest speed of 5.5Km/h.
Starting Page	4824
Ending Page	4827
File Size	587249
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5332673
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Band pass filters Finite impulse response filter Acceleration Filtering Frequency Legged locomotion Magnetic sensors IIR filters Accelerometers Gyroscopes
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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