Automatic Classification of Sub-Techniques in Classical Cross-Country Skiing Using a Machine Learning Algorithm on Micro-Sensor Data

• Published in: Sensors (Basel, Switzerland) Vol. 18; no. 1; p. 75
• Main Authors: Rindal, Ole Marius Hoel, Seeberg, Trine M, Tjønnås, Johannes, Haugnes, Pål, Sandbakk, Øyvind
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 28.12.2017; MDPI
• Subjects: accelerometer; Accelerometers; Algorithms; Artificial intelligence; Athletes; Automatic classification; Biomechanics; Classification; Cross country skiing; gyroscope; IMU; inertial measurement unit; Miniaturization; neural network; Position measurement; Researchers; Sporting goods; IMU; inertial measurement unit; neural network; accelerometer; gyroscope

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 and flexibility of wearable inertial measurement units (IMUs) that allow res...