Do you really know how good your athlete moves?

2 mins

As a movement professional, there is a good chance that you obsessed by performance enhancement and better results. Since you are reading this, you’re probably very much into gaining advantage from improvement of biomechanics.

In fact, we all should be fascinated by this topic, as level of movement skill largely determines someone’s level of performance. It not only has a great impact on decision making during a game, but also on stamina – the better you move, the more efficient you spend your energy (and the longer you can keep going). Finally, better movers seem to be more injury resilient.

Tracking down the weak parts of an athlete’s technique, is really the key to unlocking greater athletic potential. The problem is though: How do you really know how good your athlete moves?

To understand how an athlete came to a certain result, we need to thoroughly study the biomechanics and understand how movement emerges from a very fundamental level. In other words, from muscle function to movement patterns.

The question is though, how accurate and reliable is your assessment of someone’s biomechanics? And how do you keep track of progression? And finally, how can you be sure you have no blind spots?

Want to know more about how reliable an optical assessment of movement biomechanics based on video motion capture is? Please check out our blog: The limitations of gait analysis with the naked eye

Technology and biomechanical data will gain a huge advantage as it opens the door to much more objective insights – but only if you know how to deal with it.

Because although our world becomes more data driven by the day, that doesn’t mean that data does improve performance. How you interpret it within the context of you athlete and how you apply the results of it does.

In this series of blogs, we’ll guide you through what (sports) technologies and types of data are out there and how it can replenish your toolbox to become an even better trainer.

Want to know more about what types of technologies are available to determine what fits best in your daily practice? Then check out our blog:

Movement analysis: how to capture and analyze biomechanics of human (loco)motion

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Walking / Running gait analysis ORYX Knee Stability - Static ORYX Knee Stability - Dynamic ORYX-GO
Stride duration
Cadence / stride frequency
Ground contact time
Duty factor*
Propulsive velocity (hamstring function)*

* Running analysis only

ROM (+ symmetry) ORYX Knee Stability - Static ORYX Knee Stability - Dynamic ORYX-GO
Pelvis
Hip
Knee
Ankle
Foot
Micro (Local attractors) ORYX Knee Stability - Static ORYX Knee Stability - Dynamic ORYX-GO
Core stability
Hip lock
Knee stability (Q/H coordination)
Ankle stiffness
Coordination Landscape (varibility)
Meso (Global attractors) ORYX Knee Stability - Static ORYX Knee Stability - Dynamic ORYX-GO
Hamstrings
Joint coupling (Hip - Knee)
Scissors
Macro (Total attractors) ORYX Knee Stability - Static ORYX Knee Stability - Dynamic ORYX-GO
Pendulum
Foot plant projection
Squat (Double & single leg) ORYX Knee Stability - Static ORYX Knee Stability - Dynamic ORYX-GO
ROM joints + LSI
Variability