Training Load Monitoring
Using biomechanics to monitor athletic activities with wearable sensors
Key collaborators:
Prof. Barry Drust - University of Birmingham, UK
A. Prof. Jos Vanrenterghem - KU Leuven, Belgium
Prof. Warren Gregson - LJMU, UK
Understanding the dose-response relationship is fundamental to athletic monitoring and sports science. Monitoring of individual players “dose” of exercise is now possible through wearable multi-sensor technology fusing GPS, accelerometry and gyroscopic data. Research in this theme has redressed the balance between metabolic and mechanical dose and response (see Vanrenterghem et al. 2017) whilst exploring if relevant field based measures are possible.
Award winning PhD students Niels Nedergaard (Young Investigator Award - Aspire Monitoring Athlete Training Loads Conference, Doha, Qatar) and Jasper Verheul (BJSM - PhD Academy Award) have evaluated the challenge of predicting ground reaction forces from acceleration signals (see Nedergaard et al. 2018) and summarised the challenge of making field-based biomechanical measurements for practioners (see Verheul et al. 2020)
Publications
Change of direction frequency off the ball: New perspectives in elite youth soccer
Automated Classification of Changes of Direction in Soccer Using Inertial Measurement Units
Multidimensional ground reaction forces and moments from wearable sensor accelerations via deep learning
A neural network method to predict task- and step-specific ground reaction force magnitudes from trunk accelerations during running activities
Measuring biomechanical loads in team sports – from lab to field
Identifying generalised segmental acceleration patterns that contribute to ground reaction force features across different running tasks
Whole-body biomechanical load in running-based sports: The validity of estimating ground reaction forces from segmental accelerations
Biomechanical loading during running: can a two mass-spring-damper model be used to evaluate ground reaction forces for high-intensity tasks?
The feasibility of predicting ground reaction forces during running from a trunk accelerometry driven mass-spring-damper model
Training Load Monitoring in Team Sports: A Novel Framework Separating Physiological and Biomechanical Load-Adaptation Pathways
Mechanical Player Load™ using trunk-mounted accelerometry in football: Is it a reliable, task- and player-specific observation?
The Relationship Between Whole-Body External Loading and Body-Worn Accelerometry During Team-Sport Movements
