SYSTEM AND METHOD FOR CALCULATING OPTIMAL PERFORMANCE AND WEIGHT CLASSIFICATION

• US 20080140713A1
• Filed: 09/25/2007
• Published: 06/12/2008
• Est. Priority Date: 06/27/2002
• Status: Active Grant

• Current Assignee: FloSports, Inc.
• Original Assignee: National Wrestling Coaches Association
• Inventors: Brittingham, Mark, Nieman, David, Utter, Alan
• Granted Patent: US 8,272,872 B2
• Time in Patent Office: Days
• US Class Current: 707/104.1
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets
• CPC Class Codes: G16H 40/60 for the operation of medical equipment or devices

Abstract

A website providing a weight, activity and nutritional program over a network. The website allows users to input an assessment of a subject, which can be used to generate a condition overview and a weight plan for the subject. The weight plan can include minimum weights for the subject, each of the minimum weights being associated with a time. The website can also be used to generate a nutrition plan based on the subject data entered, and to enter and monitor activity data.

Claims

1. A method of conducting a weight assessment and classification program over a network, comprising the steps of:

providing a menu of data entry options on a user access port connected to the network, at least one of the data entry options allowing entry of data for generating an assessment of a subject;

determining a weight-based classification rating based on the percentile ranking of the subject in relation to reference group; and

generating a weight plan on a server connected to the network based on the subject assessment data and weight-based classification rating, the weight plan including a plurality of minimum weights for the subject, each of the minimum weight being associated with a time.

2. The method of claim 1, further comprising the step of:

allowing entry of data concerning activity of the subject.

3. The method of claim 1, further comprising the steps of:

generating a nutritional plan based on the subject data entered, wherein generating the nutrition plan comprises;

providing a series of food exchange item displays to the user;

receiving food exchange item selections from the user; and

generating a nutritional plan based on the selections.

4. The method of claim 1, further wherein generating the weight plan comprises the steps of:

determining a first minimum weight using the subject'"'"'s body weight, body fat percentage, and fat weight;

iteratively decreasing the first minimum weight by a constant factor, each successive decrease in the first minimum weight corresponding to a successive minimum weight for a successive time period; and

monitoring the subject'"'"'s weight over the network.

5. The method of claim 1, wherein the body fat percentage is calculated as [4.57/body density−

4.142]*100.

6. The method of claim 1, wherein fat weight is calculated as:

[subject'"'"'s body weight*(body fat percentage/100)].

7. The method of claim 1, wherein the first minimum weight value is calculated as the larger of:

[(fat free weight/f) and ((subject'"'"'s body weight)−

(subject'"'"'s body weight*c*time))]))], where f is a factor that describes the minimum body fat allowed and c is a constant that describes the maximum body weight loss per time period as a factor of body weight.

8. The method of claim 1, wherein subject data entry options include skinfold measurements.

9. A system for conducting a weight assessment and classification program over a network, comprising:

one or more servers connected to the network;

one or more databases on said server or servers;

a data entry program, said program providing a menu of data entry options on a user access port connected to the network, at least one of the data entry options allowing entry of data for generating an assessment of a subject, said data being stored in one or more of said databases;

further wherein said system determines a weight-based classification rating for the subject based on the percentile ranking of the subject in relation to reference group.

10. The system of claim 9, wherein said system generates a weight plan on a server connected to the network based on the subject assessment data and weight-based classification rating, the weight plan including a plurality of minimum weights for the subject, each of the minimum weight being associated with a time.