Authors:
G. P. Bailey
and
R. K. Harle
Affiliation:
University of Cambridge, United Kingdom
Keyword(s):
Running, Gait, Foot Kinematics, Continuous Sensing, Sampling Rates, Sensor Requirements, Impact Acceleration.
Related
Ontology
Subjects/Areas/Topics:
Computer Supported Training
;
Computer Systems in Sports
;
Gait and Posture
;
Signal Processing and Motor Behavior
;
Sport Science Research and Technology
Abstract:
The continuous sensing of kinematics provides an opportunity
to monitor changes in sporting technique or to aid in injury
rehabilitation. Inertial sensors are now small enough to integrate
into footwear, providing a potential platform for continuous
monitoring that does not require additional components to be worn by
the athlete and can be used to assess foot kinematics during
running. To facilitate widespread adoption, sensor systems must be
as cheap as possible. To achieve this it is required that such
systems be engineered with sampling rates that are not unnecessarily
high and with sensor components that meet the requirements of the
task, including required accuracy. We investigate multiple sensor
parameters (sampling rate, acceleration range) and their effect on
the accuracy of kinematic assessment using foot worn inertial
sensors. We find that Extended Kalman Filter based trajectory
recovery seems to be little affected by sampling rates until below
250Hz. We investigate impact accelerations using an inertial
measurement unit attached to the foot and find that, at 250Hz, the
acceleration signal peaks at up to 70g around heel strike.
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