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

Author

Dadashi, Farzin ; Millet, Gregoire P. ; Aminian, Kamiar

Author_Institution

Lab. of Movement Anal. & Meas., Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland

Volume

49

Issue

1

fYear

2013

fDate

January 3 2013

Firstpage

44

Lastpage

46

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.

Keywords

Gaussian processes; biomechanics; estimation theory; motion estimation; regression analysis; velocity measurement; Gaussian process regression; biomechanical motion constraint; commercial tethered reference system; high linear correlation; inertial measurement unit; pervasive estimation; sensor inherent errors; single low-cost body-worn IMU; swimming velocity estimation; velocity RMS error;

fLanguage

English

Journal_Title

Electronics Letters

Publisher

iet

ISSN

0013-5194

Type

jour

DOI

10.1049/el.2012.3684

Filename

6415439