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

• Published in: Electronics Letters- IEE (ISSN: 0013-5194), vol. 49, num. 1, p. 44- 46
• Hertford: Institution of Engineering and Technology, 2013

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: INERTIAL SENSOR ; GAUSSIAN PROCESSES ; SPORT TECHNOLOGY ; VELOCITY MEASUREMENT

Reference

• EPFL-ARTICLE-182439
• doi:10.1049/el.2012.3684
• View record in Web of Science
• URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6415439

Record created on 2012-11-23, modified on 2017-05-10