Classification of team sport activities using a single wearable tracking device
- 1 November 2015
- journal article
- Published by Elsevier BV in Journal of Biomechanics
- Vol. 48 (15), 3975-3981
- https://doi.org/10.1016/j.jbiomech.2015.09.015
Abstract
No abstract availableThis publication has 31 references indexed in Scilit:
- Hierarchical, Multi-Sensor Based Classification of Daily Life Activities: Comparison with State-of-the-Art Algorithms Using a Benchmark DatasetPLOS ONE, 2013
- Classification of Sporting Activities Using Smartphone AccelerometersSensors, 2013
- Artificial Neural Networks to Predict Activity Type and Energy Expenditure in YouthMedicine & Science in Sports & Exercise, 2012
- Using tri-axial acceleration data to identify behavioral modes of free-ranging animals: general concepts and tools illustrated for griffon vulturesJournal of Experimental Biology, 2012
- Automatic detection of collisions in elite level rugby union using a wearable sensing deviceSports Engineering, 2012
- Real-time versus post-game GPS data in team sportsJournal of Science and Medicine in Sport, 2010
- Forward stagewise regression and the monotone lassoElectronic Journal of Statistics, 2007
- Logistic Model TreesMachine Learning, 2005
- Capturing human motion using body‐fixed sensors: outdoor measurement and clinical applicationsComputer Animation and Virtual Worlds, 2004
- Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderlyIEEE Transactions on Biomedical Engineering, 2003