Baseball on the Science Channel(!)

Just a quick follow-up for those that read the Baseball and the Brain series from a week ago. I found a great companion series from the Science Channel/Discovery Channel that goes into alot of the same detail about the physics and skills of Pitching, Hitting and Fielding.
Here's the Science Channel series: Baseball's Secret Formula
Inside that series is a great video sequence on the Physics of Baseball from the Discovery Channel.
Enjoy!

Cristiano Roboto - The Soccer Playing Robot










Back in April, 80 teams of researchers from 15 countries got together to compete in the 2008 RoboCup German Open, a soccer tournament where the "athletes" are all totally autonomous robots like the one pictured above. Four players and a goalkeeper per team play on a 20x14 meter field and are independent of any human remote control. They need to have sub-systems that "see" the field, opponents and the goal; have locomotion logic to move forward, sideways and back; some tactical logic to sense an opponent and avoid "it"; and targeting to kick the ball in the direction of the goal.

You can see some brief clips of the robots on the pitch here. Try the second video to see the most game highlights. The discussion is in German, if any of you speak it, but the game clips are what to focus on.

The more practical future applications of these sub-systems is to program robots to do more meaningful tasks like search and rescue operations in dangerous areas, (fire, earthquake, enemy zones), using the same visual, locomotion, search algorithms that guide the robot on the soccer field. In fact, there is a RoboRescue competition as well.

What struck me most about watching these robots was the complexity of the logic that needs to be programmed. The visual system that must learn the field, the sidelines, the dimensions of the goal, the difference between a teammate and an opponent. The tactical system that must be "goal" directed, (pun intended). It must learn that the object of the game is to put the ball into the opponent's goal and stop the ball from entering your own goal.

The constant motion sensor to understand where they are on the field, when to dribble, when to stop, when to aim and when to kick. The researchers/programmers in this competition are some of the brightest minds in the world, yet when you watch the video, you might have the same reaction that I did; that this is an impressive start, but they still look rather rudimentary.

Thinking about the topics we cover here, we often take for granted all of the logic and skills that human athletes demonstrate every day. I'm thinking especially of our kids that can easily surpass the performance of these robots, even as young as 3 years old. My fascination, and probably these researchers, is HOW we are able to do these tasks so easily. If we understand more about the "how", then we can also design better practice environments to advance those skills even faster.
Source: Fraunhofer-Gesellschaft (2008, April 4). Soccer Robots Compete For The Title. ScienceDaily. Retrieved May 29, 2008, from http://www.sciencedaily.com/releases/2008/04/080401110128.htm#

A Keeper's Nightmare - Beckham, Ronaldo or Juninho

ResearchBlogging.org

Whether you bend it like Beckham or Ronaldo or Juninho or even Nakamura; the curving free kick is one of the most exciting plays in soccer/football. Starting with Rivelino in the 1970 World Cup and on to the specialists of today, more players know how to do it and understand the basic physics behind it, but very few can perfect it. But, when it does happen, by chance or skill, it is the highlight of the game.

But let's take a look at this from the other side, through the eyes of the goalkeeper. Obviously, its their job to anticipate where the free kick is going and get to the spot before the ball crosses the line. He sets up his wall to, hopefully, narrow the width of the target, but he knows some players are capable of bending the ball around or over the wall towards the near post. If you watch highlights of free kick goals, you often see keepers flat-footed, just watching the ball go into the top corner. Did they guess wrong and then were not able to react? Did they guess right but misjudged the flight trajectory of the ball. How much did the sidespin or "bend" affect their perception of the exact spot where the ball will cross the line?

Researchers at Queen's University Belfast and the University of the Mediterranean in France tried to figure this out in this paper. They wanted to compare the abilities of expert field players and expert goalkeepers to accurately predict if a free kick would result in an on-target goal or off-target non-goal. First, a bit about why the ball "bends". We can thank what's called the "Magnus Force" named after the 19th-century German physicist Gustav Magnus. As seen in the diagram below, as the ball spins counter clockwise (for a right-footed player using his instep and kicking the ball on the right side), the air pressure on the left side of the ball is lower as the spin is in the same direction as the oncoming air flow. On the right side of the ball, the spin is in the opposite direction of the air flow, building higher pressure. The ball will follow the path of least resistance, or pressure, and "bend" or curve from right to left. The speed of the spin and the velocity of the shot will determine the amount of bend. For a clockwise spin, the ball bends from left to right.



The researchers showed the players three different types of simulated kicks, a kick bent to the right, a kick bent to the left and a kick with no spin at all. They showed the players these simulations with virtual reality headsets and computer controlled "kicks" and "balls" which they could vary in flight with different programming. The balls would disappear from view at distances of 10 and 12.5 meters from the goal. The reasoning is that this cutoff would correspond with the deadline for reaction time to make a save on the ball. In other words, if the keeper does not correctly guess the final trajectory and position of the ball by this point, he most likely will not be able to physically get to the ball and make the save.

The results showed that both the players and the keepers, (all 20 were expert players from elite clubs like AC Milan, Marseille, Bayer LeverkusenSchalke 04), were able to correctly predict the result of the kicks with no spin added. However, as 600 RPM spin, either clockwise or counter-clockwise, was added to the ball, the players success declined significantly. Interestingly, the keepers did no better, statistically, then the field players. The researchers conclusion was that the players used the "current heading direction" of the ball to predict the final result, rather than factoring the future affect of the acceleration and change in trajectory caused by the spin.

Game Highlights
Just as we saw in the Baseball Hitting post, our human perception skill in tracking flying objects, especially those that are spinning and changing direction, are not perfect. If we understand the physics of the spinning ball and we can better guess at its path, but the pitcher or the free kick taker doesn't usually offer this information beforehand! In the next few posts, I'll be looking at a related topic in perception; a concept known as "Quiet Eye", developed by Prof. Joan Vickers. Check back as this is one of the best applications of cognitive science in sports that I have seen.

Source:
Craig, C.M., Berton, E., Rao, G., Fernandez, L., Bootsma, R.J. (2006). Judging where a ball will go: the case of curved free kicks in football. Naturwissenschaften, 93(2), 97-101. DOI: 10.1007/s00114-005-0071-0

Baseball and the Brain - Fielding

With the crack of the bat, the ball sails deep into the outfield. The left-fielder starts his run back and to the right, keeping 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 this fielder 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 (just the ball? the ball's movement against its background? other fielder's reaction to the ball?)

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.

(Mike Stadler, associate professor of psychology at University of Missouri, provides a great overview of current research in his book, "The Psychology of Baseball". I highly recommend it for the complete look at this topic. I'll summarize the major points here.)

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, a postdoctoral fellow at the NASA Ames Research Center, Michael McBeath , has been studying fly ball catching since 1995. His team has 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.

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?

Game Highlights
Again, I have just touched on this subject, see Prof. Stadler's book for a much better discussion. 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. My own layman's view is that the LOT theory is getting there as an explanation, but I'm still undecided about EP vs. IP . So many sport skills rely on some of these foundations, hence my "search for the truth" continues! As with pitching and hitting, fielding seems to improve with practice. As we move forward, we'll look at the theories behind practice and what structure they should take.

Baseball and the Brain - Hitting

Ted Williams, arguably the greatest baseball hitter of all-time, once said, "I think without question the hardest single thing to do in sport is to hit a baseball". Certainly, at the major league level, where pitches can reach 100 miles per hour, this is believable, but even at Little League, High School and College/Minor leagues, the odds are against the hitter. Looking at batting averages, 3 hits out of 10 at-bats will earn a player millions of dollars in the bigs, while averaging 4 or 5 hits out of 10 at the lower leagues will earn you some attention at the next level. As most of you know, Williams was the last major league player to hit .400 for an entire season and that was back in 1941, almost 67 years ago! In my second of three posts of the Baseball and the Brain series, we'll take a quick look at some of the theory behind this complicated skill.

Again, my main reference for these ideas is "The Psychology of Baseball" by Mike Stadler.


Some questions that come to mind regarding hitting a pitched baseball:
- What makes this task so hard? Why can't players, who practice for years and have every training technique, coach and accumulated knowledge at the
ir disposal, perform at a consistenly higher level?
- What can be improved? Hand-eye reaction time? Knowledge of situational tendencies (what pitch is likely to be thrown in a given game situation)?

A key concept of pitching and hitting in baseball was summed up long ago by Hall of Fame pitcher Warren Spahn, when he said,
“Hitting is timing. Pitching is upsetting timing.” To sync up the swing of the bat with the exact time and location of the ball's arrival is the challenge that each hitter faces. If the intersection is off by even tenths of a second, the ball will be missed. As was discussed in the Pitching post, the hitter must master the same two dimensions, horizontal and vertical. The aim of the pitch will affect the horizontal dimension while the speed of the pitch will affect the vertical dimension. The hitter's job is to time the arrival of the pitch based on the estimated speed of the ball while determining where, horizontally, it will cross the plate. The shape of the bat helps the batter in the horizontal space as its length compensates for more error, right to left. However, the narrow 3-4" barrel does not cover alot of vertical ground. So, a hitter must be more accurate judging the vertical height of a pitch than the horizontal location. So, if a pitcher can vary the speed of his pitches, the hitter will have a harder time judging the vertical distance that the ball will drop as it arrives, and swing either over the top or under the ball.

A common coach's tip to hitters is to "keep your eye on the ball" or "watch the ball hit the bat". As Stadler points out in his book, doing both of these things is impossible due to the concept known as "angular velocity". Imagine you are standing on the side of freeway with cars coming towards you. Off in the distance, you are able to watch the cars approaching your position with re
lative ease, as they seem to be moving at a slower speed. As the cars come closer and pass about a 45 degree angle and then zoom past your position, they seem to "speed up" and you have to turn your eyes/head quickly to watch them. This perception is known as angular velocity. The car is going a constant speed, but appears to be "speeding up" as it passes you, because your eyes need to move more quickly to keep up. This same concept applies to the hitter. The first few feet that a baseball travels when it leaves a pitcher's hand is the most important to the hitter, as the ball can be tracked by the hitter's eyes. As the ball approaches past a 45 degree angle, it is more difficult to "keep your eye on the ball" as your eyes need to shift through many more degrees of movement. Research reported by Stadler shows that hitters cannot watch the entire flight of the ball, so they employ two tactics. First, they might follow the path of the ball for 70-80% of its flight, but then their eyes can't keep up and they estimate or extrapolate the remaining path and make a guess as to where they need to swing to have the bat meet the ball. In this case, they don't actually "see" the bat hit the ball. Second, they might follow the initial flight of the ball, estimate its path, then shift their eyes to the anticipated point where the ball crosses the plate to, hopefully, see their bat hit the ball. This inability to see the entire flight of the ball to contact point is what gives the pitcher the opportunity to fool the batter with the speed of the pitch. If a hitter is thinking "fast ball", their brain will be biased towards completing the estimated path across the plate at a higher elevation and they will aim their swing there. If the pitcher actually throws a curve or change-up, the speed will be slower and the path of the ball will result in a lower elevation when it crosses the plate, thus fooling the hitter.

Game Summary
As in pitching, our eyes and brain determine much of the success we have as hitters. We took a quick look as it relates to hitting a baseball, but the same concepts apply to hitting any moving object; tennis, hock
ey, soccer, etc. In future posts, we'll look at practical ways to improve this tracking skill and the hand/eye/brain connection. As usual, practice will improve performance, but we want to identify the unique practice techniques which will be most effective. Tracking a moving object also applies to catching, which we'll look at next.