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

Dadashi, FarzinMillet, GrégoireAminian, Kamiar2012-11-232012-11-232012-11-23201310.1049/el.2012.3684https://infoscience.epfl.ch/handle/20.500.14299/87043WOS:000318235200027Presented 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.INERTIAL SENSORGAUSSIAN PROCESSESSPORT TECHNOLOGYVELOCITY MEASUREMENTGaussian process framework for pervasive estimation of swimming velocity with a body-worn IMUtext::journal::journal article::research article