| 摘要 |
A computer-based data processing system is described that employs at least one remote sensing device or system capable of providing time-indexed 2D or 3D spatial location, and subsequently uses the location data and other measured or derived data to automatically detect, identify, extract and characterize distinctive athletic performance features such as start and finish times of training regiments (e.g. sprints on a racetrack). Performance data is archived for historical comparison. The preferred embodiment includes visualization media, such as digitized video or icon-based graphical rendering, such that recorded performance data and derived attributes can be associated and synchronized through a common time-index reference. A specific use of this application is to automate the typical point-of-call data collection process widely used for horse racing training workouts, as well as during actual races, though the present invention also has applications that span a broad range of athletic physical training across many sports.
|
