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.


Published in:
Electronics Letters- IEE, 49, 1, 44- 46
Year:
2013
Publisher:
Hertford, Institution of Engineering and Technology
ISSN:
0013-5194
Keywords:
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 Record created 2012-11-23, last modified 2018-01-28

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