Browsing Brage NIH by Subject "neural network"
Now showing items 1-2 of 2
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Classification of cross-country ski skating sub-technique can be automated using carrier-phase differential GNSS measurements of the head's position
(Peer reviewed; Journal article, 2021)Position–time tracking of athletes during a race can provide useful information about tactics and performance. However, carrier-phase differential global navigation satellite system (dGNSS)-based tracking, which is accurate ... -
Inner-cycle phases can be estimated from a single inertial sensor by long short-term memory neural network in roller-ski skating
(Peer reviewed; Journal article, 2022)Objective: The aim of this study was to provide a new machine learning method to determine temporal events and inner-cycle parameters (e.g., cycle, pole and ski contact and swing time) in cross-country roller-ski skating ...