Automatic Classification of Sub-Techniques in Classical Cross-Country Skiing Using a Machine Learning Algorithm on Micro-Sensor Data. - Ole Marius Hoel Rindal; Trine M. Seeberg; Johannes Tjønnås; Pål Haugnes; Øyvind Sandbakk (Sensors, 2018)

Framework for In-Field Analyses of Performance and Sub-Technique Selection in Standing Para Cross-Country Skiers. - Camilla H. Carlsen; Julia Kathrin Baumgart; Jan Kocbach; Pål Haugnes; Evy M. B. Paulussen; Øyvind Sandbakk (Sensors, 2021)

Estimation of Mechanical Power Output Employing Deep Learning on Inertial Measurement Data in Roller Ski Skating. - Md. Zia Uddin; Trine M. Seeberg; Jan Kocbach; Anders E. Liverud; Victor Gonzalez; Øyvind Sandbakk; Frédéric Meyer (Sensors, 2021)

Inner-Cycle Phases Can Be Estimated from a Single Inertial Sensor by Long Short-Term Memory Neural Network in Roller-Ski Skating. - Frédéric Meyer; Magne Lund-Hansen; Trine M. Seeberg; Jan Kocbach; Øyvind Sandbakk; Andreas Austeng (Sensors, 2022)

Development of an Innovative User Centered Design Driven mHealth App for Female Athletes- "The Coral App". - Ashis Jalote-Parmar; Virginia Topranin; Madison Taylor; Vikram Singh Parmar; Øyvind Sandbakk (SMC, 2024)