NDLI: Study on estimation of peak Ground Reaction Forces using tibial accelerations in running

Content Provider	IEEE Xplore Digital Library
Author	Charry, E. Wenzheng Hu Umer, M. Ronchi, A. Taylor, S.
Copyright Year	2013
Description	Author affiliation: Sch. of Sport & Exercise Sci. (SES), Victoria Univ., Melbourne, VIC, Australia (Taylor, S.) \|\| dorsaVi Pty Ltd., Melbourne, VIC, Australia (Charry, E.; Wenzheng Hu; Umer, M.; Ronchi, A.)
Abstract	Ground Reaction Forces (GRF) are exerted by a surface as a reaction to a person standing, walking or running on the ground. In elite and recreational sports, GRFs are measured and studied to facilitate performance improvement and enhance injury management. Although, GRFs can be measured accurately using force platforms, such a hardware can only operate in a constrained laboratory environment and hence may limit and potentially alter a subject's natural walking or running pattern. Alternatively, a system that can measure GRFs in a more natural environment with less constraints can provide valuable insights of how humans move naturally given different gait patterns, terrain conditions and shoe types. In this regard, inertial Micro-Electrical-Mechanical-Sensors (MEMS), such as accelerometers and gyroscopes, are a promising alternative to laboratory constrained data collection systems. Kinematics of various body parts, such as their accelerations and angular velocities, can be quantified by attaching these sensors at points of interest on human body. In this paper, we investigate the relationship between the vertical GRF peaks measured by an OR6 series AMTI force plate, and accelerations along the tibial axis measured by a MEMS sensor. Our measuring system consists of two low-power wireless inertial units (ViPerform), containing one tri-axis accelerometer placed on the medial tibia of each leg.We investigate the accuracy of the measured and estimated GRF peak in 3 subjects, by means of the Root Mean Square Error (RMSE). The RMSE achieved across the speeds of 6, 9, 12, 15, 18, 21km/h and sprinting were 157N and 151N for subject 1, 106N and 153N for subject 2, and 130N and 162N for subject 3 for the left and right legs respectively. We achieved normalized errors of 6.1%, 5.9% and 5.4% for all the subjects.
Starting Page	288
Ending Page	293
File Size	774548
Page Count	6
File Format	PDF
ISBN	9781467354998
e-ISBN	9781467355018
DOI	10.1109/ISSNIP.2013.6529804
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-02
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Legged locomotion Accelerometers Correlation Force Sensors Acceleration Approximation methods
Content Type	Text
Resource Type	Article

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