Design and validation of an ambulatory inertial system for 3-D measurements of low back movements

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Charry, Edgar, Umar, Muhammad and Taylor, Simon (2011) Design and validation of an ambulatory inertial system for 3-D measurements of low back movements. In: Seventh international conference for Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) : proceedings. ISSNIP (2011). IEEE, pp. 58-63.


In studies of human movement, inertial sensors (accelerometers and gyroscopes) are gaining attention as a promising alternative to laboratory-constrained video capture systems. Kinematics of various body parts and joints can be quantified by attaching inertial sensors at points of interest and integrating the observed acceleration and angular velocity signals. It is broadly accepted that this measurement procedure is significantly influenced by cumulative errors arising from sensor noise, non-linearities, asymmetries, sensitivity variations and bias drifts. In addition, it is also known that linear acceleration superimposed to the gravity acceleration introduces errors when calculating tilt angles. Recently, newer techniques using sensor fusion methods have shown error reduction in orientation measurements, but require additional hardware and consume more energy. In this paper, we assess the accuracy of a low-power wireless inertial system (ViMove) that measures Low Back (lumbar spine) orientation in three dimensions. The system consists of two inertial units (sensor), with each sensor containing one tri-axis accelerometer and one single-axis gyroscope. We investigate the accuracy of 1D, 2D and 3D simultaneous movements by means of root mean square error (RMSE) computed in comparison with NDI Optotrak, an optical tracking system.

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Additional Information

Conference held in Adelaide, 6-9 December 2011

Item type Book Section
DOI 10.1109/ISSNIP.2011.6146618
Official URL
ISBN 9781457706745
Subjects Historical > Faculty/School/Research Centre/Department > Institute of Sport, Exercise and Active Living (ISEAL)
Historical > FOR Classification > 0903 Biomedical Engineering
Historical > SEO Classification > 8615 Instrumentation
Keywords ResPubID24359, lower back, Positional Algorithms, 3D measurements, lumbar spine, gyroscopes, accelerometers, human motion, biomechanics, biomechainc measurement, sensor fusion
Citations in Scopus 25 - View on Scopus
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