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

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

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...

Full description

Bibliographic Details
Main Authors: Ole Marius Hoel Rindal, Trine M. Seeberg, Johannes Tjønnås, Pål Haugnes, Øyvind Sandbakk
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Sensors
Subjects:
accelerometer
gyroscope
IMU
inertial measurement unit
neural network
Online Access:https://www.mdpi.com/1424-8220/18/1/75

Internet

https://www.mdpi.com/1424-8220/18/1/75

Similar Items