The tech behind The Batting Lab featured on NBC’s Today Show

The tech behind The Batting Lab featured on NBC’s Today Show

It’s built on SAS? technology used to help kids understand how data is a part of their everyday lives.?

As highlighted in an NBC Today Show segment, SAS built a literal plate for kids to step up to with The Batting Lab. Created to improve kids’ understanding of data by improving their performance at bat, this AI experience combines statistics, machine learning and computer vision to analyze swings in real-time.??

Where does SAS technology come in??

Thousands of swings were filmed of NC State University softball and baseball programs. Our team took that data and built a hidden Markov model using SAS? Econometrics, creating a 38-dimensional time series model of what an optimal swing looks like for an NCAA Division I player.?

In combination with the hardware in The Batting Lab, including a microphone, cameras, ball and weight sensors, the in-cage data is captured. SAS compares the youth player’s swing to those of elite college players to look for deviations, then delivers real-time feedback on how to improve.?

How are swings analyzed??

  1. Cameras and sensors capture all elements of the batter’s swing. With each frame, the person is identified alongside all their joints (shoulders, hips, knees, eyes, wrists, etc.).?
  2. SAS processes the data and applies machine learning and business rules to create recommendations on swing improvements. It even makes it more like a game by scoring each element of the swing and comparing it to a data set of elite players.?
  3. The cage then visualizes feedback as a recommendation for how the player can improve their swing.?
  4. And the capture of data, analysis and data representations and recommendations back to the kids happens in seconds.?

How does the lab decide what recommendations to offer??

Working with NC State University coaches, we identified 40 areas of feedback youth players commonly need improvement on and ranked them on a scale from 1 to 5. The 40 areas for improvement are evaluated for each swing along with the overall swing score and swing frame deviations. All this data is fed into a simple recommendation system to identify two pieces of feedback for the player. Feedback is prioritized by its criticality and how early in the swing it occurs.?

Once the feedback is determined, the system presents age-appropriate language to the player. Here are some examples:?

  • Your feet should be shoulder-width apart. Spread them out a bit.?
  • As your weight shifts back, move your hands so they are directly above your back foot and not higher than your back shoulder.?
  • Try keeping your shoulders level while keeping your head and torso upright.?

This is the same technology some of our customers are using for applications like detecting flaws in products moving through a manufacturing production line, exponentially increasing the speed of processing lab tests, protecting endangered species like rhinos and koalas, getting ahead of treacherous winter road conditions, identifying deforestation in rain forests and monitoring cancer progression by analyzing CT scans.?

wow what a thing…

Jamie Vernon

Executive Director and CEO at Sigma Xi, The Scientific Research Honor Society, Publisher of American Scientist

2 年

Excellent application of technology with tremendous opportunity for STEM education. I'm sure curious young minds could be inspired by learning about what's behind the tech.

Scott I.

Global Software & Customer Success Leader. Curiosity to Develop Customer Evangelists and Solve Urgencies & Escalations. Thrive with Global, Strategic Clients via Advanced Analytics, AI, Industry Solutions, Drive Value

2 年

Thanks, a compelling read. Many interesting insights and AI leads. Having played baseball into college, and with a degree in Statistics and an insatiable love of historical baseball stats, I have a couple of thoughts. I think we are at an inflection point regarding consuming baseball data into the analytics/AI methodologies and constructs. Even in the context of this original post. Thanks - Baseball data is somewhat complex and multi-dimensional. Taking one single baseball statistic into the context of a WAR (wins above replacement) calc can be challenging/confusing. Good to expand the analysis here.

Horace T Bone, PhD

Our high-income clients finance their retirement savings and generate 60-100 % more tax-free income.

2 年

Jim Goodnight You and SAS have alway been out in front of the crowd. I'm proud to know you.

Mary Beth Simmons

SE Manager, National Security Team, SAS Federal

2 年

Mark Shires - check this out.

要查看或添加评论,请登录

社区洞察

其他会员也浏览了