Abstract:
This paper presents the application of a theoretically derived decision algorithm for pattern recognition in the area of automatic track event timing. The proposed system will locate (in time and space) a runner near the end of the course in a track event. A training procedure for determining a set of optimal weights essential to the algorithm is presented along with the results of simulation and testing of the system on an IBM 370 computer.