Once deployed we constantly refine and iterate every algorithm to derive additional useful variables for coaches and athletes, improve biofeedback and constantly improve validity and reliability versus gold-standard tools. We then implement the algorithm in to our mobile app with a focus on ease of use and accuracy.Based on this data, we develop a novel signal-processing and/or machine-learning algorithm to derive the lab-grade analysis from the wearable data.This data synchronises lab-grade data with our wearable sensor signals. Capture a large reference data-set of gold-standard data from the Biomechanics lab. Whether it’s VBT, power, movement, balance, agility or any other aspect of performance we’re measuring our process is always the same:
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