Virtual Reality Lab Proves How Fly Balls Are Caught

While baseball fans still rank "The Catch" by Willie Mays in the 1954 World Series as one of the greatest baseball moments of all times, scientists see the feat as more of a puzzle: How does an outfielder get to the right place at the right time to catch a fly ball?


Thousands of fans (and hundreds of thousands of YouTube viewers) saw Mays turn his back on a fly ball, race to the center field fence and catch the ball over his shoulder, seemingly a precise prediction of a fly ball's path that led his team to victory. According to a recent article in the Journal of Vision ("Catching Flyballs in Virtual Reality: A Critical Test of the Outfielder Problem"), the "outfielder problem" represents the definitive question of visual-motor control. How does the brain use visual information to guide action?

To test three theories that might explain an outfielder's ability to catch a fly ball, researcher Philip Fink, PhD, from Massey University in New Zealand and Patrick Foo, PhD, from the University of North Carolina at Ashville programmed Brown University's virtual reality lab, the VENLab, to produce realistic balls and simulate catches. The team then lobbed virtual fly balls to a dozen experienced ball players.

"The three existing theories all predict the same thing: successful catches with very similar behavior," said Brown researcher William Warren, PhD. "We realized that we could pull them apart by using virtual reality to create physically impossible fly ball trajectories."

Warren said their results support the idea that the ball players do not necessarily predict a ball's landing point based on the first part of its flight, a theory described as trajectory prediction. "Rather than predicting the landing point, the fielder might continuously track the visual motion of the ball, letting it lead him to the right place at the right time," Warren said.

Because the researchers were able to use the virtual reality lab to perturb the balls' vertical motion in ways that would not happen in reality, they were able to isolate different characteristics of each theory. The subjects tended to adjust their forward-backward movements depending on the perceived elevation angle of the incoming ball, and separately move from side to side to keep the ball at a constant bearing, consistent with the theory of optical acceleration cancellation (OAC). The third theory, linear optical trajectory (LOT), predicted that the outfielder will run in a direction that makes the visual image of the ball appear to travel in a straight line, adjusting both forward-backward and side-to-side movements together.

Fink said these results focus on the visual information a ball player receives, and that future studies could bring in other variables, such as the effect of the batter's movements or sound.
"As a first step we chose to concentrate on what seemed likely to be the most important factor," Fink said. "Fielders might also use information such as the batter's swing or the sound of the bat hitting the ball to help guide their movements."

Sources:  Catching fly balls in virtual reality: A critical test of the outfielder problem and Association for Research in Vision and Ophthalmology

Catching Fly Balls Is A Lot Like Rocket Science

Every Little League outfielder knows the feeling.

With the crack of the bat, you see the ball jump into the air. You take a few quick steps forward. Then, as you watch the ball continue to rise faster, you feel your stomach sink knowing that this one is going over your head. What went wrong?

How our eyes, brains, arms and legs combine to track and catch a fly ball has stumped scientists for more than 40 years.

A new study supports the original theory of it all while offering some practical tips.

By watching fielders shag pop flies, researchers have noticed a few interesting quirks. First, great ballplayers will not sprint to the exact spot on the field where they think the ball will land and then wait for it. Rather, they usually adjust their speed to arrive at the landing spot just as the ball arrives.

In fact, a previous study asked fielders to stand still in the outfield and predict where a fly ball will land. While they did poorly on that test, they then demonstrated that, when allowed to move, they were able to go catch similar fly balls. So, the tracking and prediction mechanism seemed to require movement of the player.

Years ago, physicist Seville Chapman proposed a model to explain how players manage the path of a fly ball so that they arrive to intercept it at just the right time. His theory, called Optical Acceleration Cancellation (OAC), used the acceleration of the ball through the vision field as a guide for player movement.

As a fielder watches the ball rise, he moves either forward or backwards so that the ball moves at a constant speed through his field of vision. If he moves too far forward, the ball will rise faster and may eventually fly over his head. If he takes too many steps back, the ball will appear to rise slower and will drop in front of him.

By managing the ball's position with his movement, a fielder will end up at the right spot at the right time. This explains why the stationary fielders could not predict where the ball would land, as they did not have the benefit of OAC.

If we ask real fielders how they knew where to run to catch a ball, they may not respond with, "Well, I simply adjusted my relative field position to keep the tangent of the vertical optical angle to the ball increasing at a constant rate." So, to test the OAC geometric equations against real life, researchers led by Dinant Kistemaker of the University of Western Ontario, compared the predicted running paths from their mathematical simulation with the real running paths of fielders observed in a previous study.

"We have found that running paths are largely consistent with those observed experimentally," Kistemaker told LiveScience. "Largely, and not completely, because the start of fielders is somewhat strange: They tend to step forward first, irrespective of the fact that they have run either forward or backwards to catch that fly ball."

The research is detailed this month in the journal Human Movement Science.

Will those first few steps forward doom the Little Leaguer to years of fly ball nightmares? Actually, it might be our brain's method of improving its viewpoint.

"For a fielder, making a step is a way of changing the magnitude of the optical acceleration, while preserving its informative value," Kistemaker clarified. "A faster rise of the optical acceleration above the detection threshold may outweigh a possible initial step in the wrong direction. Making an initial step forwards is not only easier than making an initial step backwards, but might also be a better choice."

So, if you're now coaching Little Leaguers, be patient. Their brains may still be learning the math.

Please visit my other sports science articles at LiveScience.com

Baseball Brains - Fielding Into The World Series

With the crack of the bat, the ball sails deep into the outfield. The center-fielder starts his run back and to the right, trying to keep his eyes on the ball through its flight path. His pace quickens initially, then slows down as the ball approaches. He arrives just in time to make the catch. What just happened? How did he know where to run and at what speed so that he and the ball intersected at the same exact spot on the field. Why didn't he sprint to the landing spot and then wait for the ball to drop, instead of his controlled speed to arrive just when the ball did? What visual cues did he use to track the ball's flight?  Did Willie Mays make the most famous catch in baseball history because he is one of the greatest players of all-time with years of practice? Maybe, but now take a look at this "Web Gems" highlight video of 12 and 13 year-olds from last year's Little League World Series:

Just like we learned in pitching and hitting, fielding requires extensive mental abilities involving eyes, brain, and body movements to accomplish the task. Some physical skills, such as speed, do play a part in catching, but its the calculations and estimating that our brain has to compute that we often take for granted. The fact that fielders are not perfect in this skill, (there are dropped fly balls, or bad judgments of ball flight), begs the question of how to improve? As we saw with pitching and hitting (and most sports skills), practice does improve performance. But, if we understand what our brains are trying to accomplish, we can hopefully design more productive training routines to use in practice.

Once more, we turn to Mike Stadler, associate professor of psychology at University of Missouri, who provides a great overview of current fielding research in his book, "The Psychology of Baseball".

One organization that does not take this skill for granted is NASA. The interception of a ballistic object in mid-flight can describe a left fielder's job or an anti-missile defense system or how a pilot maneuvers a spacecraft through a three dimensional space. In fact, Michael McBeath , a former post doctoral fellow at the NASA Ames Research Center, (now an associate professor at Arizona State University), has been studying fly ball catching since 1995, beginning with his research study, "How baseball outfielders determine where to run to catch fly ball". 

His team developed a rocket-science like theory named Linear Optical Trajectory to describe the process that a fielder uses to follow the path of a batted ball. LOT says the fielder will adjust his movement towards the ball so that its trajectory follows a straight line through his field of vision. Rather than compute the landing point of the ball, racing to that spot and waiting, the fielder uses the information provided by the path of the ball to constantly adjust his path so that they intersect at the right time and place.

The LOT theory is an evolution from an earlier theory called Optical Acceleration Cancellation (OAC) that had the same idea but only explained the fielder's tracking behavior in the vertical dimension. In other words, as the ball leaves the bat the fielder watches the ball rise in his field of vision. If he were to stand still and the ball was hit hard enough to land behind him, his eyes would track the ball up and over his head, or at a 90 degree angle. If the ball landed in front of him, he would see the ball rise and fall but his viewing angle may not rise above 45 degrees. LOT and OAC argue that the fielder repositions himself throughout the flight of the ball to keep this viewing angle between 0 and 90 degrees. If its rising too fast, he needs to turn and run backwards. If the viewing angle is low, then the fielder needs to move forward so that the ball doesn't land in front of him. He can't always make to the landing spot in time, but keeping the ball at about a 45 degree angle by moving will help ensure that he gets there in time. While OAC explained balls hit directly at a fielder, LOT helps add the side-to-side dimension, as in our example of above of a ball hit to the right of the fielder.  More recently, McBeath has successfully defended his LOT theory here and here.

The OAC and LOT theories do agree on a fundamental cognitive science debate. There are two theories of how we perceive the world and then react to it. First, the Information Processing (IP) theory likens our brain to a computer in that we have inputs, our senses that gather information about the world, a memory system that stores all of our past experiences and lessons learned, and a "CPU" or main processor that combines our input with our memory and computes the best answer for the given problem. So, IP would say that the fielder sees the fly ball and offers it to the brain as input, the brain then pulls from memory all of the hundreds or thousands of fly ball flight paths that have been experienced, and then computes the best path to the ball's landing point based on what it has "learned" through practice. McBeath's research and observations of fielders has shown that the processing time to accomplish this task would be too great for the player to react.

OAC and LOT subscribe to the alternate theory of human perception, Ecological Psychology (EP). EP eliminates the call to memory from the processing and argues that the fielder observes the flight path of the ball and can react using the angle monitoring system. This is still up for debate as the IPers would argue "learned facts" like what pitch was thrown, how a certain batter hits those pitches, how the prevailing wind will affect the ball, etc. And, with EP, how can the skill differences between a young ballplayer and an experienced major leaguer be accounted for? What is the point of practice, if the trials and errors are not stored/accessed in memory?

Of course, we haven't mentioned ground balls and their behavior, due to the lack of research out there. The reaction time for a third baseman to snare a hot one-hopper down the line is much shorter. This would also argue in favor of EP, but what other systems are involved?

Arguing about which theory explains a fielder's actions is only productive if we can apply the research to create better drills and practices for our players. The LOT theory seems to be  getting there as an explanation, but there is still debate over EP vs. IP . So many sport skills rely on some of these foundations, that this type of research will continue to be relevant.  As with pitching and hitting, fielding seems to improve with practice.

And then there's the ultimate catch of all-time, that baseball fans have long been buzzing about.  Your reward for getting to the end of this article is this little piece of history...




You were looking for Willie Mays and "The Catch", weren't you?  This ball girl would own the best all-time fielding achievement... if it were real.  But no, just another digital editing marvel.  This was going to be a commercial for Gatorade, then it was put on the shelf.  After it was leaked onto YouTube, the video hoax became a viral hit.  So much so, that Gatorade left it on YouTube and did make a commercial out of it for the 2008 All-Star game.  But, you don't need to tell your Little Leaguers.  Let them dream...