Using equivalence points to compare athletic performances across distance, gender, exact age, event and course differences

• US 20070250291A1
• Filed: 04/24/2006
• Published: 10/25/2007
• Est. Priority Date: 04/24/2006
• Status: Abandoned Application

• Current Assignee: Stephen Beale
• Original Assignee: Stephen Beale
• Inventors: Beale, Stephen
• Application Number:
  US11/408,891
• Publication Number:
  US 20070250291A1
• Time in Patent Office: Days
• US Class Current: 702/182
• CPC Class Codes: A63B 2024/0065 Evaluating the fitness, e.g. fitness level or fitness index
• CPC Class Codes: A63B 2220/30 Speed
• CPC Class Codes: A63B 2244/18 Skating
• CPC Class Codes: A63B 2244/20 Swimming
• CPC Class Codes: A63B 24/0062 Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance

Abstract

Hundreds of thousands of youths participate in racing sports in the United States. Racing sports, such as swimming, track and speed skating all use elapsed time as the primary measure of achievement. But an elapsed time by itself, such as 55.23 seconds, is of little value in determining if a particular performance was “good.” A “good” time for one age, gender, event, distance and/or race condition might not be a “good” time under a different set of factors. Various time standards have been created to rank athletic performances. These standards are generally set up to evaluate the performances of athletes within an age group which typically ranges from one to two years. Unfortunately, athletic performances vary widely within such age groups. It is very difficult to compare the performances of two athletes who have an age difference of a few months. The methodologies described herein will overcome the inherent approximations in these existing performance standard systems. My methodology will calculate an exact age-adjusted point value for a given performance. Given this exact, age-adjusted point value for the elapsed time of a specific race, my methodology will then be able to convert that elapsed time to the expected elapsed time of an equivalent performance under a different set of factors (for example, a different event, length, course, age and/or gender).

Claims

1. A method specified in the first stage of the algorithm in paragraphs through 25 above that calculates the exact age-adjusted equivalence points for the athletic performance specified in the inputs to the first stage of the algorithm.

2. A method specified in the second stage of the algorithm in paragraphs 26 through 36 above that utilizes the exact age-adjusted equivalence points calculated in claim 1 to calculate the expected elapsed time of an athletic performance that is equivalent to the performance specified in the inputs to the first stage of the algorithm but which is attained under the set of factors that are input to the second stage of the algorithm.

3. The computer interface and functionalities specifically exemplified in paragraphs 37 through 46 above.