Abstract: A system and method for graphically and statistically analyzing and predicting the motion of a bowling ball. In one embodiment, the system includes an automatic precision ball thrower, a computer aided tracking system (“C.A.T.S.”), and a computing device. Certain static properties of the bowling ball are recorded as independent variables. The automatic precision ball thrower is used to throw the bowling ball down the lane a number of times and the C.A.T.S. records various dynamic characteristics of its path. This data is received by the computing device which uses it to calculate a plurality of dependent variables associated with the path of the bowling ball. The computing device relates the independent variables to the dependent variables using multivariable regression analysis, yielding a set of equations which can be used to predict the dependent variables (or dynamic characteristics) of a second bowling ball given a set of independent variables (or static characteristics of the second bowling ball).

Abstract: Systems and methods for analyzing a motion of a bowler. The system includes a plurality of cameras positioned around a capture volume. The capture volume includes a reference location. A plurality of markers is configured to be attached to the bowler and reflect light from the cameras. The cameras are configured to detect a first set of positions of the markers attached to the bowler. The markers are located within the capture volume. The cameras are also configured to transmit a first plurality of signals representative of the markers at the first set of positions. The cameras are configured to detect a second set of positions of the markers attached to the bowler. The markers are located within the capture volume. The cameras are also configured to transmit a second plurality of signals representative of the markers at the second set of positions.

Abstract: A system and method for graphically and statistically analyzing and predicting the motion of a bowling ball. In one embodiment, the system includes an automatic precision ball thrower, a computer aided tracking system (“C.A.T.S.”), and a computing device. Certain static properties of the bowling ball are recorded as independent variables. The automatic precision ball thrower is used to throw the bowling ball down the lane a number of times and the C.A.T.S. records various dynamic characteristics of its path. This data is received by the computing device which uses it to calculate a plurality of dependent variables associated with the path of the bowling ball. The computing device relates the independent variables to the dependent variables using multivariable regression analysis, yielding a set of equations which can be used to predict the dependent variables (or dynamic characteristics) of a second bowling ball given a set of independent variables (or static characteristics of the second bowling ball).