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  4. Gaussian process framework for pervasive estimation of swimming velocity with a body-worn IMU
 
research article

Gaussian process framework for pervasive estimation of swimming velocity with a body-worn IMU

Dadashi, Farzin  
•
Millet, Grégoire  
•
Aminian, Kamiar  
2013
Electronics Letters- IEE

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.

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