Dadashi, Farzin
Millet, GrĂ©goire
Aminian, Kamiar
Gaussian process framework for pervasive estimation of swimming velocity with a body-worn IMU
Electronics Letters- IEE
Electronics Letters- IEE
Electronics Letters- IEE
Electronics Letters- IEE
2
49
1
INERTIAL SENSOR
GAUSSIAN PROCESSES
SPORT TECHNOLOGY
VELOCITY MEASUREMENT
2013
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.
Institution of Engineering and Technology
0013-5194
Electronics Letters- IEE
Journal Articles
10.1049/el.2012.3684