DocumentCode :
2417918
Title :
Correlations between end point foot trajectories and inertial sensor data
Author :
Santhiranayagam, Braveena K. ; Lai, Daniel T H ; Begg, Rezaul K. ; Palaniswami, Marimuthu
Author_Institution :
Sch. of Sport & Exercise Sci., Victoria Univ., Melbourne, VIC, Australia
fYear :
2010
fDate :
7-10 Dec. 2010
Firstpage :
315
Lastpage :
320
Abstract :
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.
Keywords :
accelerometers; gait analysis; gyroscopes; motion measurement; optoelectronic devices; Optotrak Certus; accelerometers; distal foot rotation; end point foot trajectories; falling risk; foot clearance; foot rotation direction; gait initiation strategies; gyroscopes; inertial measurement units; inertial sensor data; motion analysis applications; optoelectronic motion analysis system; raw foot data; sensor noise; toe-off; vertical acceleration; Acceleration; Accelerometers; Correlation; Foot; Gyroscopes; Legged locomotion; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2010 Sixth International Conference on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4244-7174-4
Type :
conf
DOI :
10.1109/ISSNIP.2010.5706797
Filename :
5706797
Link To Document :
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