[HN Gopher] Open-source motion capture data of elite-level baseb...
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       Open-source motion capture data of elite-level baseball pitchers on
       GitHub
        
       Author : icelancer
       Score  : 56 points
       Date   : 2022-12-14 10:45 UTC (1 days ago)
        
 (HTM) web link (github.com)
 (TXT) w3m dump (github.com)
        
       | rcarr wrote:
       | Only tangentially relevant but there is a great comedy drama show
       | on Amazon Prime at the minute about the forming of a professional
       | women's baseball team during WW2 called A League Of Their Own.
        
         | arrosenberg wrote:
         | Everything gets a remake I guess...
         | 
         | https://m.imdb.com/title/tt0104694/
        
       | williamscales wrote:
       | This is from Driveline Baseball. My understanding is that they've
       | really revolutionized the ability of pitchers to put spin on the
       | ball. (Sticky stuff aside)
        
         | Kon-Peki wrote:
         | The MVP Machine [0] has a lot of interviews and background with
         | Driveline folks, including their now-disgraced-turns-out-hes-a-
         | terrible-person headline player (Trevor Bauer).
         | 
         | What's unclear is how long-lasting the performance improvements
         | are (can the pitcher maintain spin rates without constantly
         | going back to the data and coaching staff?).
         | 
         | One very positive thing I've seen is applying the analytics to
         | young athletes as a future injury prevention tool. We now can,
         | with high probability, identify kids who are on the path to
         | permanently ruining their arm long before they cause lasting
         | damage and give them an intervention - "You can dominate in
         | Little League, but you'll never be a pro if you keep doing it
         | this way. You must either change the way you throw or stop
         | trying to be a baseball pitcher"
         | 
         | [0] https://www.basicbooks.com/titles/ben-lindbergh/the-mvp-
         | mach...
        
           | clusterhacks wrote:
           | Good book! I think the Driveline blog is a better source for
           | folks working with youth athletes. The MVP Machine was a
           | little bit more Moneyball than player development oriented .
           | . .
           | 
           | Bauer. I had a bit of a meltdown about him - I was
           | momentarily worried that his name alone would bring a huge
           | negative reaction to people associated with Driveline
           | training methods. That seems to have not come to pass.
           | 
           | I very much like the Driveline "Skills that Scale" training
           | approach. I took several brand-new-to-softball middle
           | schoolers into 50+ MPH bat speeds with overload/underload
           | training and bat sensors. One great athlete hit 60+ in
           | training in her very first year of playing the game. Course,
           | she looks like a D1 athlete as well, so she may have gotten
           | there just by putting a bat in her hand . . .
        
       | noja wrote:
       | RTIB/LTIB and RTHI/LTHI are not symmetrical - any idea why?
        
         | bena wrote:
         | Just spitballing and guessing here: easier math.
         | 
         | Look lower down at the pictures or pitchers (heh). The legs
         | themselves aren't symmetrical.
         | 
         | So they probably tweaked the points so that the most common
         | range of angles to make the math easier to do.
         | 
         | Like I said, just a guess. But with one leg bent and the other
         | stretched out, they probably form a line close to parallel with
         | the ground for right-handed pitchers at the point in time when
         | the pitcher is transitioning from wind up to release.
        
         | allenofthehills wrote:
         | Marker placement in motion capture is often intentionally
         | bilaterally asymmetric because it makes automatic labeling of
         | markers easier (with respect to side/orientation of the
         | subject).
         | 
         | Source: Am a biomechanist with several years of mocap
         | experience.
        
         | Cyberdogs7 wrote:
         | I can answer this. Each of these markers comes into the
         | software as part of an unconnected point cloud, which then
         | needs to be identified and 'solved' to a constraint skeleton to
         | get the true angles of rotation and the 'stick person'
         | representation that you typically see.
         | 
         | Because of this, if you placed markers with bi-lateral
         | symmetry, it would be much more difficult to solve joint
         | rotation angles, as the overall facing of the point cloud would
         | be undetermined. So, you have additional markers placed on none
         | moving (not a joint) locations that ruin symmetry and allow
         | facing to be easily solved. Typical locations are outside of
         | the thighs, upper arms, and occasionally the back.
         | 
         | I built mocap studios for games companies.
        
           | manglav wrote:
           | that's amazing! Do you have an email address where I can
           | shoot you a message? I'd love to pick your brain on this tech
           | (paid of course).
        
           | bena wrote:
           | I was mostly wrong.
           | 
           | But I like this answer better. It's a simple and clever
           | solution to a real problem that you might not readily see as
           | you're developing the solution.
        
       | keepquestioning wrote:
       | All this effort going into the most boring sport imaginable.
        
         | voidfunc wrote:
         | I thought we were talking about baseball not soccer.
        
       | clusterhacks wrote:
       | Driveline is the cutting edge of baseball/softball hitting and
       | baseball pitching. As a tech person involved in coaching youth
       | through middle school athletes, their blog (and youth coaching
       | certification, which I completed) really gives a solid foundation
       | in how to use bat speed sensors, radar guns, and more advanced
       | tech in training. It's fun stuff for a data geek.
       | 
       | Mocap is a step beyond what I want to do with young athletes but
       | having a data-driven approach is a coaches dream. Measure things
       | that matter, build a constraint-based training environment, and
       | let exterior outcomes shape players.
        
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       (page generated 2022-12-15 23:02 UTC)