000182439 001__ 182439
000182439 005__ 20181203022911.0
000182439 0247_ $$2doi$$a10.1049/el.2012.3684
000182439 022__ $$a0013-5194
000182439 02470 $$2ISI$$a000318235200027
000182439 037__ $$aARTICLE
000182439 245__ $$aGaussian process framework for pervasive estimation of swimming velocity with a body-worn IMU
000182439 260__ $$aHertford$$bInstitution of Engineering and Technology$$c2013
000182439 269__ $$a2013
000182439 300__ $$a2
000182439 336__ $$aJournal Articles
000182439 520__ $$aPresented 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.
000182439 6531_ $$aINERTIAL SENSOR
000182439 6531_ $$aGAUSSIAN PROCESSES
000182439 6531_ $$aSPORT TECHNOLOGY
000182439 6531_ $$aVELOCITY MEASUREMENT
000182439 700__ $$0242461$$aDadashi, Farzin$$g190972
000182439 700__ $$0(EPFLAUTH)192695$$aMillet, Grégoire$$g192695
000182439 700__ $$0240167$$aAminian, Kamiar$$g104385
000182439 773__ $$j49$$k1$$q44- 46$$tElectronics Letters- IEE
000182439 8564_ $$uhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6415439$$zURL
000182439 909C0 $$0252052$$pLMAM$$xU10303
000182439 909CO $$ooai:infoscience.tind.io:182439$$pSTI$$particle
000182439 917Z8 $$x190972
000182439 917Z8 $$x190972
000182439 917Z8 $$x190972
000182439 917Z8 $$x190972
000182439 937__ $$aEPFL-ARTICLE-182439
000182439 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000182439 980__ $$aARTICLE