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

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3 Author(s)
Dadashi, F. ; Lab. of Movement Anal. & Meas., Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland ; Millet, G.P. ; Aminian, K.

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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Electronics Letters  (Volume:49 ,  Issue: 1 )