Correlations between end point foot trajectories and inertial sensor data

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Santhiranayagam, Braveena K, Lai, Daniel ORCID: 0000-0003-3459-7709, Begg, Rezaul ORCID: 0000-0002-3195-8591 and Palaniswami, M (2010) Correlations between end point foot trajectories and inertial sensor data. In: ISSNIP : proceedings of the 2010 Sixth International Conference on Intelligent Sensors, Sensor Networks and Information Processing : 7-10 December 2010, Brisbane, Australia. Marusic, S, Palaniswami, M, Gubbi, J and Corkeron, Peter J, eds. IEEE, Piscataway, N.J., pp. 315-320.


Inertial measurement units (IMU) comprising accelerometers and gyroscopes have recently found use in a wide range of motion analysis applications. Even though the technique of inferring secondary parameters such as velocity, displacement and angular rotation is greatly influenced by sensor noise, IMUs continue to find interest in movement studies due to other attractive properties such as light weight, wearability, compactness and low cost. In this study, the motivation was to determine the relationship between the raw foot inertial sensor data and the key end point foot trajectories. Correlations were calculated between the sensor data and the end points obtained from an optoelectronic motion analysis system, i.e. Optotrak Certus, NDI. It was found that vertical acceleration of the toe 0.06 s prior to toe-off were the most correlated with the end point foot trajectories. During toe-off, the amount of rotation of the distal foot was also significantly correlated with the first maximum - m×1 of the foot clearance. Foot rotation direction however varied between subjects tested suggesting different gait initiation strategies. The results are encouraging because they indicate that raw inertial sensor measurements are correlated with vertical foot end point trajectories, and could be used to detect the risk of falling.

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Item type Book Section
DOI 10.1109/ISSNIP.2010.5706797
Official URL
ISBN 9781424471744 (print), 9781424471768 (CD-ROM), 9781424471775
Subjects Historical > FOR Classification > 1004 Medical Biotechnology
Historical > FOR Classification > 1106 Human Movement and Sports Science
Historical > SEO Classification > 970111 Expanding Knowledge in the Medical and Health Sciences
Historical > Faculty/School/Research Centre/Department > Institute of Sport, Exercise and Active Living (ISEAL)
Keywords ResPubID20211, Optotrak, accelerometers, gait analysis, gyroscopes, motion measurement, optoelectronic devices, acceleration, feet, gyroscopes, legged locomotion, trajectory, optotrak certus, distal foot rotation, falling risk, foot clearance, foot rotation direction, gait initiation strategies, inertial measurement units, inertial sensor data, motion analysis applications, optoelectronic motion analysis system, sensor noise, toe-off, vertical acceleration
Citations in Scopus 6 - View on Scopus
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