research article
A Bayesian Approach for Pervasive Estimation of Breaststroke Velocity Using a Wearable IMU
An ubiquitous assessment of swimming velocity (main metric of the performance) is essential for the coach to provide a tailored feedback to the trainee. We present a probabilistic framework for the data-driven estimation of the swimming velocity at every cycle using a low-cost wearable inertial measurement unit (IMU). The statistical validation of the method on 15 swimmers shows that an average relative error of 0.1±9.6 % and high correlation with the tethered reference system (rX,Y = 0.91) is achievable. Besides, a simple tool to analyze the influence of sacrum kinematics on the performance is provided.
Type
research article
Web of Science ID
WOS:000353830400003
Author(s)
Date Issued
2015
Publisher
Published in
Volume
19
Start page
37
End page
46
Editorial or Peer reviewed
REVIEWED
Written at
EPFL
EPFL units
Available on Infoscience
March 3, 2014
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