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Validity & Reliability
Backed by over 10 years of scientific research and validated against gold-standard biomechanics data.
The Output R&D Process
At Output we are an interdisciplinary team of practitioners, sports-scientists, UX experts and engineers driven to use our unique development process to produce easy-to-use, diversely capable, valid and reliable athlete assessment tools. Our work stems from 2 PhDs and research in Europe’s largest academic data-analytics research centre, the Insight Centre for Data Analytics, which commenced in 2013.
Lab Data Sets
Capture a large reference data-set of gold-standard data from the Biomechanics lab.
Machine-Learning Algorithms
Develop a novel signal-processing and/or machine-learning algorithm.
Real-world Deployment
Continuously refine and iterate every algorithm improve validity and reliability versus gold-standard tools.
Whether it’s VBT, power, movement, balance, agility or any other aspect of performance we’re measuring our process is always the same:
Capture a large reference data-set of gold-standard data from the Biomechanics lab. This data synchronises lab-grade data with our wearable sensor signals.
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.
We then implement the algorithm in to our mobile app with a focus on ease of use and accuracy. 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. This step also involves external research being completed in world-leading academic facilities.
The result: an ever-growing diversely capable, highly valid and reliable performance tool. You can dive deeper in the Output research portfolio below.
Validity & Reliability
The body of evidence supporting our system’s validity and reliability is ever-growing. Below we provide links to research publications, conference presentations, and sample data-sets which highlight our system’s scientific underpinnings. We have divided the evidence into key sections of the system’s measures e.g. VBT, Power, movement, A-VBT etc.
