Validating optical motion capture assessments of deon grant dating
What I slowly began to realize – and how we use biomechanical data at Driveline Baseball now – is that this data is part of a larger thumbprint, an increasingly vital part of an athlete’s assessment.Today, we use this data for amazing purposes, and every day that goes by that we put assessments into our machine learning-enabled backend software, we learn more and more about injuries, performance, and the human body simply by doing our jobs. But before we delve too deep into the actionable part of the data – which we talk about all the time on our blog and on social media – let’s talk about pitfalls of biomechanical analyses and the misuse of science that I see on a regular basis.Off-the-shelf systems were too expensive to purchase at the time, running in the low six figures to even get started, but high-speed cameras like the Casio Exilim EX-FH2 were hitting the market at ~0.Rather than just use the cameras for qualitative purposes and coaching cues, I wanted to know if I could create a markerless biomechanics lab using the cameras, mathematics, and some hard work.For example, a common issue that we have found that is a marker for injury is high angular velocity at the elbow and shoulder combined with low ball velocity.This is an A minor league pitcher fit these definitions a few years ago after coming to us during rehab from bone chips in his elbow.I figured if I could do this and build a biomechanics lab for baseball, that I would be on my way to solving pitching injuries and that I’d command a ton of contract work from Major League Baseball!So, two things happened: Yes, it’s just math, and Matthew Wagshol (current biomechanist at Driveline Baseball) and I proved that we could do it, by building the control objects in the aisles of Home Depot and spending countless hours using terrible software meant for graduate students that we twisted in so many directions to just spit out answers. Sure, the achievement was really cool, and as far as I could tell, no one had done it before me…
He carved up AAA and was in the big leagues shortly thereafter, where he remains as his velocity has settled more into the low-90s as a starting pitcher.
Ah, well, I guess we need to factor in calibration of the cameras, accounting for optical errors as well, so use this formula too: And of course, DLT reconstruction is just a few steps away: Got it?