System and method for assessment of health risks and visualization of weight loss and muscle gain

• US 7,809,153 B2
• Filed: 10/10/2003
• Issued: 10/05/2010
• Est. Priority Date: 04/27/2000
• Status: Expired due to Fees

• Current Assignee: Daxko LLC
• Original Assignee: Inter-Images Partners, LP
• Inventors: Brucks, Russ Edward, Bravomalo, Mario J.
• Primary Examiner(s): Ahmed; Samir A.
• Assistant Examiner(s): PATEL, JAYESH A
• Application Number:
  US10/684,023
• Publication Number:
  US 20040131227A1
• Time in Patent Office: 2,552 Days
• Field of Search: 382/164, 382/171, 382/173, 434/238
• US Class Current: 382/100
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06T 11/00 2D [Two Dimensional] image generation
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

The present system combines image morphing technology, exercise programming, supplement sales, and motivational techniques into one product. Users begin by entering their current measurements, measurement goals and current picture into the system, preferably via a Web site. The picture is segmented into body components, and each affected segment is morphed based upon the measurements, goals, and the segment'"'"'s responsiveness to weight loss in order to create a modified image representative of the user in a post-regimen condition. This system helps health and fitness businesses obtain new members and retain existing members by showing the members how they will look after following a specific regimen of diet and/or exercise. The system also predicts health risks of diabetes, heart disease, and stroke associated with the user'"'"'s pre-regimen and post-regimen conditions.

Claims

1. A method for producing an image predictive of a person'"'"'s appearance resulting from following a prescribed regimen, said method comprising:

receiving a first data set associated with said person;

said first data set comprising a body shape designation;

said body shape designation being representative of where fat is located on said person;

creating a first image representative of said person in a pre-regimen condition by modifying a generic image based on said first data set;

receiving a second data set comprising at least one goal desired from said regimen;

creating a second image representative of said person in a post-regimen condition by modifying said first image based on said second data set;

displaying said second image; and

calculating an ideal weight and an estimated body fat percentage for said person;

wherein said estimated body fat percentage is calculated substantially according to the following equation;

Body Fat Percentage=(Essential Fat+Excess Fat)/Body Weight

said Essential Fat being calculated substantially according to the following equation;

Essential Fat=((Age×

0.001625)+0.0425) (Ideal Weight).

2. A method for producing an image predictive of a person'"'"'s appearance resulting from following a prescribed regimen, said method comprising:

receiving a first data set associated with said person;

said first data set comprising a body shape designation;

said body shape designation being representative of where fat is located on said person;

creating a first image representative of said person in a pre-regimen condition by modifying a generic image based on said first data set;

receiving a second data set comprising at least one goal desired from said regimen;

creating a second image representative of said person in a post-regimen condition by modifying said first image based on said second data set; and

displaying said second image;

wherein said creating a second image comprises calculation of an age factor; and

wherein said age factor is calculated substantially according to the following equation;

Age Factor=((−

0.000438)Age²+(0.0439)Age )−

1.

3. A method for producing an image predictive of a person'"'"'s a appearance resulting from following a prescribed regimen said method comprising:

receiving a first data set associated with said person;

said first data set comprising a body shape designation;

said body shape designation being representative of where fat is located on said person;

creating a first image representative of said person in a pre-regimen condition by modifying a generic image based on said first data set;

receiving a second data set comprising at least one goal desired from said regimen;

creating a second image representative of said person in a post-regimen condition by modifying said first image based on said second data set; and

displaying said second image;

wherein said at least one goal comprises muscle gain and wherein said muscle gain is calculated based on at least one of the following factors;

a base muscle gain factor;

a supplement boost factor;

a resistance compliance factor;

an age factor;

a nutrition factor; and

a gender factor;

wherein said base muscle gain factor is selected from the group consisting of;

1/725 if said goal comprises muscle gain only;

1/1087 if said goal comprises muscle gain and fat loss;

1/1450 if said goal comprises fat loss only or health maintenance.

4. A method for producing an image predictive of a person'"'"'s appearance resulting from following a prescribed regimen, said method comprising:

receiving a first data set associated with said person;

said first data set comprising a body shape designation;

said body shape designation being representative of where fat is located on said person;

creating a first image representative of said person in a pre-regimen condition by modifying a generic image based on said first data set;

receiving a second data set comprising at least one goal desired from said regimen;

creating a second image representative of said person in a post-regimen condition by modifying said first image based on said second data set; and

displaying said second image;

wherein said at least one goal comprises muscle gain and wherein said muscle gain is calculated based on at least one of the following factors;

a base muscle gain factor;

a supplement boost factor;

a resistance compliance factor;

an age factor;

a nutrition factor; and

a gender factor;

wherein a supplement boost is calculated substantially according to the following equation;

Supplement Boost=1.0+((Days of Resistance Training /7 days) ×

(Days of Supplementation /7 days) ×

Supplement Boost Factor).

5. A method for producing an image predictive of a person'"'"'s a appearance resulting from following a prescribed regimen, said method comprising:

receiving a first data set associated with said person;

said first data set comprising a body shape designation;

said body shape designation being representative of where fat is located on said person;

creating a first image representative of said person in a pre-regimen condition by modifying a generic image based on said first data set;

receiving a second data set comprising at least one goal desired from said regimen;

creating a second image representative of said person in a post-regimen condition by modifying a generic image based on said first data set; and

displaying said second image;

wherein said at least one goal corn rises muscle am and wherein said muscle am is calculated based on at least one of the following factors;

a base muscle gain factor;

a supplement boost factor;

a resistance compliance factor;

an age factor;

a nutrition factor; and

a gender factor;

wherein said resistance compliance factor is calculated substantially according to one of the following;

(a) if said regimen comprises a number of days of resistance training per week which is greater than 4,

Resistance Compliance=(Days of Resistance Training/3)+2.56667

(b) if said regimen comprises a number of days of resistance training per week which is less than or equal to 4,

Resistance Compliance=Days of Resistance Training.

6. A method for producing an image predictive of a person'"'"'s appearance resulting from following a prescribed regimen, said method comprising:

receiving a first data set associated with said person;

said first data set comprising a body shape designation;

said body shape designation being representative of where fat is located on said person;

creating a first image representative of said person in a pre-regimen condition by modifying a generic image based on said first data set;

receiving a second data set comprising at least one goal desired from said regimen;

creating a second image representative of said person in a post-regimen condition by modifying said first image based on said second data set; and

displaying said second image;

wherein said at least one goal comprises muscle gain and wherein said muscle gain is calculated based on at least one of the following factors;

a base muscle gain factor;

a supplement boost factor;

a resistance compliance factor;

an age factor;

a nutrition factor; and

a gender factor;

wherein said age factor is calculated substantially according to the following equation;

Age Factor=Age²(0.00983)+Age(−

1.84086)+84.54923.

7. A method for producing an image predictive of a person'"'"'s appearance resulting from following a prescribed regimen, said method comprising:

receiving a first data set associated with said person;

said first data set comprising a body shape designation;

said body shape designation being representative of where fat is located on said person;

creating a first image representative of said person in a re-regimen condition by modifying a generic image based on said first data set;

receiving a second data set comprising at least one goal desired from said regimen;

creating a second image representative of said person in a post-regimen condition by modifying said first image based on said second data set; and

displaying said second image;

wherein said at least one goal comprises muscle gain and wherein said muscle gain is calculated based on at least one of the following factors;

a base muscle gain factor;

supplement boost factor;

a resistance compliance factor;

an age factor;

a nutrition factor; and

a gender factor;

wherein said nutrition factor is calculated substantially according to the following equation;

Nutrition Factor=Days/Week on Nutrition Plan (0.035714286)+0.75.

8. A method for producing an image predictive of a person'"'"'s appearance resulting from following a prescribed regimen, said method comprising:

receiving a first data set associated with said person;

said first data set comprising a body shape designation;

said body shape designation being representative of where fat is located on said person;

creating a first image representative of said person in a pre-regimen condition by modifying a generic image based on said first data set;

receiving a second data set comprising at least one goal desired from said regimen;

creating a second image representative of said person in a post-regimen condition by modifying said first image based on said second data set; and

displaying said second image;

wherein said at least one goal comprises muscle gain and wherein said muscle gain is calculated based on at least one of the following factors;

a base muscle gain factor;

a supplement boost factor;

a resistance compliance factor;

a age factor;

a nutrition factor; and

a gender factor;

wherein said gender factor is calculated substantially according to one of the following equations;

(a) if said person is a female,

Gender Factor_female=0.55;

(b) if said person is a male,

Gender Factor_male=1.0.

9. A method for producing an image predictive of a person'"'"'s appearance resulting from following a prescribed regimen said method comprising:

receiving a first data set associated with said person;

said first data set comprising a body shape designation;

said body shape designation being representative of where fat is located on said person;

creating a first image representative of said person in a pre-regimen condition by modifying a generic image based on said first data set;

receiving a second data set comprising at least one goal desired from said regimen;

creating a second image representative of said person in a post-regimen condition by modifying said first image based on said second data set; and

displaying said second image;

wherein said at least one goal comprises muscle gain and wherein said muscle gain is calculated based on at least one of the following factors;

a base muscle gain factor;

a supplement boost factor;

a resistance compliance factor;

an age factor;

a nutrition factor; and

a gender factor;

wherein said muscle gain is calculated substantially according to the following equation;

Muscle Gained/Week=(Resistance Compliance×

Base Muscle Gain Factor) ×

Supplement Boost ×

Age Factor ×

Nutrition Factor ×

Gender Factor.