Publication

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

Kamiar Aminian, Farzin Dadashi, Grégoire Millet
2013
Journal Articles

Abstract

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.

Official source

https://infoscience.epfl.ch/entities/publication/8d36456a-f6fe-47a2-a6b2-34a34d8bf4c5

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

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