Blar i Institutt for teknisk kybernetikk på forfatter "Sandbakk, Øyvind"
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Automated classification and quantification of spatio-temporal parameters in cross-country skiing skating technique by analysis of inertial sensor data and sensor insole data
Garsjø, Lene-Kristine (Master thesis, 2017)The aim of this thesis was (1) to develop a method for dividing cross-country skiing cycles into phases, and (2) extract and select features characterizing the change in center of pressure (CoP) during these phases. Both ... -
Automated detection and classification of movement cycles in cross-country skiing through analysis of inertial sensor data movement patterns
Meland, Henrik J. (Master thesis, 2017)Published technique analysis tools for movement patterns in cross-country skiing have accuracies ranging from 88% up to 98.5%, but reviews of these studies reveals that none have thoroughly addressed classifier robustness ... -
Automatic Classification of Sub-Techniques in Classical Cross-Country Skiing Using a Machine Learning Algorithm on Micro-Sensor Data
Rindal, Ole Marius Hoel; Seeberg, Trine Margrethe; Tjønnås, Johannes; Haugnes, Pål; Sandbakk, Øyvind (Journal article; Peer reviewed, 2018)The automatic classification of sub-techniques in classical cross-country skiing provides unique possibilities for analyzing the biomechanical aspects of outdoor skiing. This is currently possible due to the miniaturization ...