System and method for generating a meal plan

• US 20020046060A1
• Filed: 08/06/2001
• Published: 04/18/2002
• Est. Priority Date: 08/04/2000
• Status: Abandoned Application

• Current Assignee: Fitness Venture Group
• Original Assignee: Fitness Venture Group
• Inventors: Gardner, Daniel J., Moore, Peter, Prickett, Curtiss A., Conrad, Donald J., McGarry, Michaleen, Edmonds, Shane D., Hoskyns, Donald J., Dunnington, Brian
• Application Number:
  US09/923,015
• Publication Number:
  US 20020046060A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets
• CPC Class Codes: G16H 70/20 relating to practices or guidelines

Abstract

A multi-user meal planner for providing users with an individually customized, daily meal plan is disclosed. The multi-user meal planner includes a user interface and a relational database management system. The database management system includes nutritional information and an algorithm operationally connected to the nutritional information. The database management system further includes user information that is inputted through the user interface. After being inputted through the user interface, the user information is processed by the algorithm. The algorithm generates a meal plan for the user and the database management system transmits the meal plan to the user interface. A method of providing the individualized meal plan is also provided.

Claims

1. A multi-user meal planner comprising:

a relational database management system including;

nutritional information;

a user information database; and

an algorithm operationally connected to the nutritional information and the user information database;

wherein the algorithm processes the nutritional information and user information in the user information database and generates a modifiable meal plan.

2. The multi-user meal planner according to claim 1, wherein the database management system is accessed via a computer network.

3. The multi-user meal planner according to claim 1, wherein the database management system is adapted for use on one of a plurality of computer platforms.

4. The multi-user meal planner according to claim 3, wherein the one of the plurality of platforms comprises the Internet, a CDROM and a client/server LAN environment.

5. The multi-user meal planner according to claim 1, wherein the database management system processes the user information to generate a calorie goal for the user.

6. The multi-user meal planner according to claim 5, wherein the user information includes general demographic information and physical metric information.

7. The multi-user meal planner according to claim 1, wherein the database management system generates an individually customized meal plan by processing the user information, the user information comprising at least one of:

eating patterns;

metabolic responses to eating;

ethnic food preferences;

protein preferences; and

beverage preferences.

8. The multi-user meal planner according to claim 7, wherein the individually customized meal plan is modifiable through intervention by the user.

9. The multi-user meal planner according to claim 8, wherein the intervention comprises at least one of:

modification of amounts of ingredients in meal recipes;

modification of types of ingredients in meal recipes;

exchange of meal; and

modification of serving size.

10. The multi-user meal planner according to claim 7, wherein the individually customized meal plan is generated from recipes based on nutritional data of ingredients in the meal plan.

11. The multi-user meal planner according to claim 7, wherein the algorithm processes the preference information and selects a percentage of likelihood that particular ethnic foods, protein groups and beverages will be selected for the meal plan.

12. The multi-user meal planner according to claim 1, wherein the database management system processes the user information and generates a recommended ratio of carbohydrates, proteins and fats based on the user information.

13. The multi-user meal planner according to claim 12, wherein the database management system provides an indication of the meal falling more than a predetermined amount outside the recommended ratio.

14. The multi-user meal planner according to claim 1, wherein the user selects a preferred combination of meals and snacks, the combination comprising a daily eating pattern.

15. The multi-user meal planner according to claim 1, wherein the database management system generates an ingredient list for the user based on the meal plan.

16. The multi-user meal planner according to claim 1, wherein the database management system generates food preparation instructions.

17. The multi-user meal planner according to claim 16, wherein the food preparation instructions comprise specific cooking instructions.

19. The method according to claim 18, wherein obtaining the meal plan comprises obtaining the meal plan for specific calendar days.

20. The method according to claim 18, wherein obtaining the meal plan further comprises obtaining food preparation instructions.

21. The method according to claim 20, wherein obtaining food preparation instructions comprises obtaining specific cooking instructions.

22. The method according to claim 18, wherein obtaining the meal plan further comprises obtaining a list of ingredients.

23. The method according to claim 22, further comprising modifying the meal plan.

24. The method according to claim 23, wherein modifying the meal plan comprises exchanging a meal in the meal plan for an alternate meal.

25. The method according to claim 24, wherein exchanging the meal for the alternate meal comprises inputting an alternate ethnic food preference.

26. The method according to claim 24, wherein exchanging the meal for the alternate meal comprises inputting an alternate protein preference.

27. The method according to claim 23, wherein modifying the meal plan further comprises changing a serving size of a meal item.

28. The method according to claim 23, wherein modifying the meal plan further comprises altering the list of ingredients.

29. The method according to claim 18, further comprising, after obtaining the meal plan, modifying the meal plan.

30. The method according to claim 18, wherein obtaining the meal plan further comprises obtaining a nutritional analysis of the meal plan.

31. The method according to claim 30, wherein obtaining the nutritional analysis of the meal plan comprises obtaining a caloric value of the meal plan.

32. The method according to claim 31, further comprising modifying the meal plan, the caloric value of the meal plan being maintained.

33. The method according to claim 30, wherein obtaining the nutritional analysis of the meal plan further comprises obtaining a carbohydrate/protein/fat ratio for the meal plan.

35. The method according to claim 34, wherein generating the meal plan comprises generating a modifiable meal plan.

36. The method according to claim 35, wherein generating the modifiable meal plan comprises allowing modification of individual ingredients.

37. The method according to claim 36, wherein allowing modification of the individual ingredients comprises allowing alteration of a list of ingredients.

38. The method according to claim 35, wherein generating the modifiable meal plan further comprises exchanging a meal in the meal plan for an alternate meal.

39. The method according to claim 35, wherein generating the modifiable meal plan further comprises allowing change of a serving size of a meal item.

40. The method according to claim 34, wherein generating the meal plan comprises providing a meal plan for specific calendar days.

41. The method according to claim 34, wherein generating the meal plan further comprises generating food preparation instructions.

42. The method according to claim 41, wherein generating food preparation instructions comprises generating specific cooking instructions.

43. The method according to claim 34, wherein generating the meal plan further comprises generating a list of ingredients.

44. The method according to claim 34, wherein generating the meal plan further comprises generating a nutritional analysis of the meals.

45. The method according to claim 44, wherein generating the nutritional analysis of the meals comprises generating a caloric value of the meals.

46. The method according to claim 45, wherein generating the caloric value of the meals comprises adjusting the meal plan to maintain the caloric value of the meal plan.

47. The method according to claim 44, wherein generating the nutritional analysis of the meals further comprises generating a carbohydrate/protein/fat ratio for the meals.

48. The method according to claim 34, wherein generating the meal plan further comprises generating a meal plan based on a user'"'"'s inputted ethnic food preference.

49. The method according to claim 48, wherein generating the meal plan further comprises generating a modifiable meal plan.

50. The method according to claim 49, wherein generating the modifiable meal plan comprises exchanging a meal in the meal plan for an alternate meal.

51. The method according to claim 50, wherein exchanging the meal for the alternate meal comprises allowing the user to input an alternate ethnic food preference.

52. The method according to claim 34, wherein generating the meal plan further comprises generating a meal plan based on a user'"'"'s inputted protein preference.

53. The method according to claim 52, wherein generating the meal plan further comprises generating a modifiable meal plan.

54. The method according to claim 53, wherein generating the modifiable meal plan comprises exchanging a meal in the meal plan for an alternate meal.

55. The method according to claim 54, wherein exchanging the meal for the alternate meal comprises allowing the user to input an alternate protein preference.

18. A method of obtaining an individualized meal plan via a networked computer system comprising:

accessing the computer system;

inputting into the system at least one of;

personal information;

ethnic food preferences;

protein preferences;

carbohydrate, protein and fat preferences;

a desired number of meals per day;

a desired type of meals per day; and

beverage preferences; and

obtaining the meal plan based on at least one of the information and preferences inputted into the system.

34. A method of providing an individualized meal plan system comprising:

providing an input field in a relational database management system, the input field adapted to receive information inputted by a user;

transmitting the information to an algorithm in the database management system;

generating a meal plan based on the information; and

transmitting the meal plan to the user.