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  4. Gaussian process framework for pervasive estimation of swimming velocity with a body-worn IMU
 
research article

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

Dadashi, Farzin  
•
Millet, Grégoire  
•
Aminian, Kamiar  
2013
Electronics Letters- IEE

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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Type
research article
DOI
10.1049/el.2012.3684
Web of Science ID

WOS:000318235200027

Author(s)
Dadashi, Farzin  
Millet, Grégoire  
Aminian, Kamiar  
Date Issued

2013

Publisher

Institution of Engineering and Technology

Published in
Electronics Letters- IEE
Volume

49

Issue

1

Start page

44

End page

46

Subjects

INERTIAL SENSOR

•

GAUSSIAN PROCESSES

•

SPORT TECHNOLOGY

•

VELOCITY MEASUREMENT

URL

URL

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6415439
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LMAM  
Available on Infoscience
November 23, 2012
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/87043
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