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

Details

Serval ID
serval:BIB_8EADE8D8C02E
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Gaussian process framework for pervasive estimation of swimming velocity with body-worn IMU
Journal
Electronics Letters
Author(s)
Dadashi F., Millet G. P., Aminian K.
ISSN
0013-5194
ISSN-L
0013-5194
Publication state
Published
Issued date
2013
Peer-reviewed
Oui
Volume
49
Number
1
Pages
44-46
Language
english
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
Web of science
Create date
26/12/2013 18:00
Last modification date
20/08/2019 14:52
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