System and method for computerized visual diet behavior analysis and training

• US 6,553,386 B1
• Filed: 12/14/1999
• Issued: 04/22/2003
• Est. Priority Date: 12/14/1998
• Status: Expired due to Fees

• Current Assignee: DietGoal Innovations LLC (Empire IP LLC)
• Original Assignee: Oliver Alabaster
• Inventors: Alabaster, Oliver
• Primary Examiner(s): Rones, Charles
• Application Number:
  US09/461,664
• Time in Patent Office: 1,225 Days
• Field of Search: 705/15, 705/27, 705/1, 434/127, 434/262, 128/897, 128/630, 600/300, 706/16, 345/342, 345/810, 707/1, 707/104.1
• US Class Current: 1/1
• CPC Class Codes: G09B 19/0092 Nutrition
• CPC Class Codes: G09B 5/00 Electrically-operated educational appliances working with questions and answers G09B7/00; simulators G09B9/00; advertising or displaying in general G09F
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets
• CPC Class Codes: Y10S 707/99931 Database or file accessing
• CPC Class Codes: Y10S 707/99945 Object-oriented database structure processing
• CPC Class Codes: Y10S 707/99948 Application of database or data structure, e.g. distributed, multimedia, or image

Abstract

A computer database includes information enabling display on a screen of a plurality of objects, in successive groups, together with display of graphics associated with each group. The graphics enable a first user selection of one of the objects of each group and a second user selection related to the object selected by interaction with the screen display, using conventional mouse, touchscreen or other techniques. The user selections are stored in a storage medium so as to generate a database of user choice information from which a behavior analysis is performed. The user selections may comprise food choices and evaluation of enthusiasm, and frequency thereof, whereby a dietary behavior profile is produced. Diet training may then be coordinated by display of a meal and providing the user with the ability to estimate nutrient content as well as participate in interactive adjustment of food items and portion sizes.

Claims

1. A method of computerized diet training comprising the steps of:

completing a diet behavior analysis, where the diet behavior analysis comprises collecting and analyzing specific information on a user'"'"'s instinctive eating tendencies and preferences;

providing a computer database based on the diet behavior analysis comprising one or more food items;

displaying one or more groups of food items to a user;

each group including one or more food items; and

displaying a nutrient-related parameter of at least one group to the user.

2. The method of claim 1, wherein the nutrient-related parameter is the number of calories associated with the at least one group.

3. The method of claim 1, wherein the food items are displayed graphically.

4. The method of claim 1, wherein the groups are displayed on separate plates.

12. The method of claim 1 wherein said objects are selected from the group consisting of photographs and graphics.

13. The method of claim 1 wherein said presentations comprise written descriptive material.

14. The method of claim 1 wherein each of said groups comprises presentation of a plurality of objects.

15. The method of claim 1 wherein there are n pairs of objects.

16. The method of claim 15 wherein said pairs of objects comprise pairs of platters of food.

17. The method of claim 16 wherein said first user selection comprises selection of one of said platters.

18. The method of claim 17 wherein said second user selection comprises an indication of level of enthusiasm for the selected platter.

19. The method of claim 17 wherein the second user selection comprises an indication of frequency of consumption of a displayed food item.

20. The method of claim 19 further including the step of conducting diet training based on said behavior analysis.

21. The method of claim 20 wherein said step of conducting diet training includes the steps of displaying a meal and providing interactive user adjustment of portion size.

22. The method of claim 21 wherein said step of conducting diet training comprises the steps of user selection of displayed food items to create a meal, and display of nutritional characteristics of the displayed meal.

23. The method of claim 22 further including the step of user adjustment of portion size of the created meal.

24. The method of claim 1, wherein said one or more objects are food objects.

25. The method of claim 1 wherein said database is located at a website and said display is transmitted over the internet to a user.

26. The method of claim 1, wherein the diet behavior analysis data comprises relative preference for a plurality of groups.

27. The method of claim 1, wherein the diet behavior analysis data comprises relative enthusiasm for a plurality of food groups.

28. The method of claim 1, wherein the diet behavior analysis data comprises relative frequency of food preference for a plurality of food groups.

29. The method of claim 1, further comprising the step of displaying suggested dietary changes based on the diet behavior analysis data.

30. The method of claim 29, wherein the suggested dietary changes comprise a display of a suggested relative modification of consumption in a plurality of food groups.

31. The method of claim 1, where said diet behavior analysis further comprises comparing the specific information to a set of diet goals.

5. A method of computerized diet behavior analysis, where the diet behavior analysis comprises collecting and providing specific comparative information on a user'"'"'s instinctive eating tendencies and preferences, comprising the steps of:

storing in digital format images of first and second groups of food items, each group including one or more food items;

displaying the first and second groups adjacent to one another on a viewing screen; and

reacting to said groups by indicating at least one parameter selected from the group consisting of preferred consumption, frequency of consumption, and preferred amount.

6. The method of claim 5 wherein the viewing screen is a computer display screen.

7. The method of claim 5 wherein said images are stored at a website and wherein said method includes the further step of transmitting said images over the internet to said viewing screen.

8. The method of claim 7 further including the steps of point-and-click selecting an indication of the reaction to said images of a viewer of said images.

9. The method of claim 8 wherein said reaction is a selection based upon a comparison of said images.

10. A method of computerized diet behavior analysis, where the diet behavior analysis comprises collecting and analyzing specific information on a user'"'"'s instinctive eating tendencies and preferences and comparing the specific information to a set of diet goals, comprising the steps of:

storing in digital format images of first and second groups of food items, each group including one or more food items;

displaying the first and second groups adjacent one another on a viewing screen; and

reacting to said groups by indicating at least one parameter selected from the group consisting of preferred consumption, frequency of consumption, or preferred amount.

11. A method of computerized diet behavior analysis, where the diet behavior analysis comprises collecting and analyzing specific information on a user'"'"'s instinctive eating tendencies and preferences, comprising the steps of:

providing a computer database including presentations of one or more objects, said presentations being displayable in one or more successive groups, each group including one or more said presentations;

causing a computer to display the one or more successive groups, together with display of graphics associated with each said group, said graphics enabling a first user selection of one of the presentations of each said group, and a second user selection related to the presentation selected;

causing said computer to cause recordation of each of said first and second selections in a storage medium so as to generate a database of user choice information; and

causing said computer to produce diet behavior analysis data based on the database of user choice information.

32. A system for conducting computerized visual diet training comprising:

a storage device comprising one or more food items based on a diet behavior analysis, where the diet behavior analysis comprises collecting and analyzing specific information on a user'"'"'s instinctive eating tendencies and preferences;

a processor connected to the storage device, the processor being configured to perform the steps of;

accepting a user'"'"'s selected food items from a choice of one or more food items, the selected food items corresponding to a meal;

accepting an estimate from the user of a value of a nutrient-related parameter of the selected food items; and

displaying feedback to the user concerning the accuracy of the estimate.

33. The system of claim 32, wherein the food items are presented graphically.

34. The system of claim 33, wherein the processor is further configured to perform the step of adjusting a portion size of a food item based upon input by the user.

35. A system for conducting computerized visual diet training comprising:

a storage device comprising one or more food items, where at least one food item is based on a diet behavior analysis, where the diet behavior analysis comprises collecting and analyzing specific information on a user'"'"'s instinctive eating tendencies and preferences and comparing the specific information to a set of diet goals;

a processor connected to the storage device, the processor being configured to perform the steps of;

accepting a user'"'"'s selected food items from a choice of the one or more food items, the selected food items corresponding to at least one meal;

accepting an estimate from the user of a value of a nutrient-related parameter of the selected food items; and

displaying feedback to the user concerning the accuracy of the estimate.

36. A system for diet behavior analysis, where the diet behavior analysis comprises collecting and analyzing specific information on a user'"'"'s instinctive eating tendencies and preferences, comprising:

a storage device including information enabling the display of one or more food items; and

a processor connected to the storage device, the processor being configured to perform the steps of;

displaying one or more groups of food items to a user;

accepting a user'"'"'s selected group from the one or more groups of food items;

storing the selected group in a user choice database;

repeating the displaying, accepting and storing steps; and

performing the diet behavior analysis based on information stored in the user choice database.

37. The system of claim 36, wherein the groups of food items are stored in graphical form.

38. The system of claim 36, wherein two groups of food items are displayed to a user in the displaying step.

39. The system of claim 38, wherein each group consists of a single food item.

40. The system of claim 38, wherein each group comprises multiple food items.

41. The system of claim 36, wherein the processor is further configured to perform the steps of

accepting an indication of a level of enthusiasm for the selected group; and

storing the indicated level of enthusiasm in the user choice database.

42. The system of claim 36, wherein the processor is further configured to perform the steps of

accepting an indication of a frequency of consumption for the selected group;

and

storing the indicated frequency of consumption in the user choice database.

43. The system of claim 36, wherein the processor is further configured to perform the step of conducting diet training based on the behavior analysis.

44. A system for diet behavior analysis, where the diet behavior analysis comprises collecting and analyzing specific information on a user'"'"'s instinctive eating tendencies and preferences and comparing the specific information to a set of diet goals, comprising:

a storage device including information enabling the display of one or more food items; and

a processor connected to the storage device, the processor being configured to perform the steps of;

displaying one or more groups of food items to a user;

accepting a user'"'"'s selected food items from a choice of the one or more groups of food items;

storing the selected group of food items in a user choice database;

repeating the displaying, accepting and storing steps; and

performing the diet behavior analysis based on information stored in the user choice database.