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research article
Gaussian process framework for pervasive estimation of swimming velocity with a body-worn IMU
Presented is an accurate swimming velocity estimation method using an inertial measurement unit (IMU) by employing a simple biomechanical constraint of motion along with Gaussian process regression to deal with sensor inherent errors. Experimental validation shows a velocity RMS error of 9.0 cm/s and high linear correlation when compared with a commercial tethered reference system. The results confirm the practicality of the presented method to estimate swimming velocity using a single low-cost, body-worn IMU.
Type
research article
Web of Science ID
WOS:000318235200027
Authors
Publication date
2013
Published in
Volume
49
Issue
1
Start page
44
End page
46
Peer reviewed
REVIEWED
EPFL units
Available on Infoscience
November 23, 2012
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