BioMetrix: Big Data For Athletes
It all started when one of the Founders of BioMetrix received a career-ending injury. Ivonna & her co-founder Gabby, were frustrated by the fact that Gabby’s career was cut short due to injury. It’s a frustration that’s shared by many athletes, who have experienced setbacks & a short lived career from injuries.
Gabby Levac, one of the cofounders of BioMetrix
At the first iteration, the BioMetrix team focused on using an adjustable shoe as a solution. But yet, an even more appropriate solution was available. The solution was to use a sensor in your shoe that tracked acceleration and rotation.
What BioMetrix does is it takes the data from their sensors, mainly acceleration, and rotation, and uses this data to represent biomechanical movements. By processing these possibly dangerous and/or incorrect biomechanical movements, and comparing them to datasets where someone is exhibiting correct form, they are able to present red flags to coaches and trainers – who could then use this data to help adjust their players movements. As they gain more datasets from users, their model gets more and more accurate, which means being able to detect more red flag movements – and hopefully decrease the rate of injuries.
While it may have seemed more intuitive to provide conclusions to the trainers and coaches, it was a path that 23andMe had already illustrated would be filled with lawsuits and concerns from consumers. This means that for now, BioMetrix is shying away from providing conclusions, letting the coaches and trainers make the decision.
For BioMetrix, dealing with the analytics of the data is of course, the hardest part of all this. Interpreting data and deriving meaningful insight which could then be presented to the end user is no easy task. Especially when it comes to users who are edge cases, such as long distance runners.
BioMetrix is excited about shipping its product to the competitive athletic market, and to use it for rehabilitation. The direct mission of it all is to bring this sensor technology to collegiate and professional sports in order to make the rehabilitation process easier.
Catapult, a competitor who has sensors clipped on the back of athletes to prevent injuries
Catapult, a competitor, has taken this sort of tech already and implemented it to see a decrease of 12-60% in injuries; Ivonna and her team are confident they can meet or beat those numbers. With support already from athletic departments such as Duka & UCLA, and future ambitions to detect fatigue, BioMetrix is primed to help the world realize the potential of Big Data and competitive supports.
They expect to have their first shipment up in winter of 2016, so keep an eye out for BioMetrix!
Using our online courses at BDU, you too can leverage the power of big data to solve real-world problems relevant to you – just like Ivonna and the team at BioMetrix.