On catching fly balls.

Fielder’s Choice: A Unified Theory of Catching Fly Balls

The information for catching fly balls: judging and intercepting virtual balls in a CAVE.

Visually guided action implies the existence of information as well as a control law relating that information to movement. For ball catching, the Chapman Strategy--keeping constant the rate of change of the tangent of the elevation angle (d(tan(alpha))/dt)--leads a catcher to the right location at the right time to intercept a fly ball. Previous studies showed the ability to detect the informa...

The effects of baseball experience on movement initiation in catching fly balls.

Previous research has shown that skilled athletes are able to respond faster than novices to skill-specific information. The aim of this study was to ascertain whether expert outfielders are faster than non-experts in acting on information about the flight of a fly ball. It was hypothesized that expert outfielders are better attuned to this information; as a result, faster and more accurate res...

Shedding some light on catching in the dark: perceptual mechanisms for catching fly balls.

To catch a lofted ball, a catcher must pick up information that guides locomotion to where the ball will land. The acceleration of tangent of the elevation angle of the ball (AT) has received empirical support as a possible source of this information. Little, however, has been said about how the information is detected. Do catchers fixate on a stationary point, or do they track the ball with th...

Intercepting a Falling Object: Digital Video Robot

Human based algorithms to catch fly balls have been research and studied. In this paper, the validity of the human models are tested by catching balls that are dropped vertically downward. The regular OAC (Optical Acceleration Cancellation ) and the inverted OAC models are simulated first, and then tested experimentally with a mobile robot. The simulation and the experimental results show that ...