CORE 22 HUMAN TRAINING AND WEIGHT LOSS SYSTEM

• US 20170200392A1
• Filed: 01/07/2016
• Published: 07/13/2017
• Est. Priority Date: 01/07/2016
• Status: Abandoned Application

• Current Assignee: Richard Schmitt, Sky Leeland Canine
• Original Assignee: Richard Schmitt, Sky Leeland Canine
• Inventors: Canine, Sky Leeland, Schmitt, Richard
• Application Number:
  US14/989,868
• Publication Number:
  US 20170200392A1
• Time in Patent Office: Days
• CPC Class Codes: G09B 19/0092 Nutrition
• CPC Class Codes: G09B 7/00 Electrically-operated teaching apparatus or devices working with questions and answers mechanically operated G09B3/00; computing arrangements G06F

Abstract

The system of the preferred embodiments is a method for human training coordinated by a computer interface, where a human user interacts with at least one computing interface; where the at least one computing is provided by a computing device having at least one processor, computer readable storage medium, and a network connection to at least one additional computing device; where the user can enter and read from the computing interface; where the computing device executes computer software code; where the user executes steps displayed by the computing interface related to at least what types of food and how much food the user eats; where the computing interface displays at least once a week at least seven of at least one of questions and instructions to the user related to at least one area including water consumption, types of food eaten, timing of food eaten, type of drink consumed, amount of sleep the user has gotten, dietary supplements taken, amount of food eaten, amount of specific types of foods eaten, whether or not foods eaten fall into certain categories provided to the user in association with the method, characteristics of drink consumed, exercise carried out by the user, amount consumed by the user in certain nutritional categories, food purchased, bowel movements, and resistance of urges; where the user inputs at least one of answers and responses to the at least seven of at least one of questions and instructions; where the computing interface further prompts the user to input at least one of A) the user'"'"'s weight, B) the user'"'"'s body fat percentage, C) the user'"'"'s waist measurements, and D) the user'"'"'s body mass index; where the computer interface provides the user with a comparison between the user'"'"'s answers to the at least seven questions to the progress over time of at least one of A) the user'"'"'s weight, B) the user'"'"'s body fat percentage, C) the user'"'"'s waist measurements, and D) the user'"'"'s body mass index. The method for human training coordinated by a computer interface is preferably designed to help a user lose weight, providing an understanding of the factors that lead to weight loss, providing feedback to the user to give them an understanding of how the factors relate to their weight loss, allowing for social support from others to encourage the user to stay with the program, and manipulating food intake to get the hypothalamus to aide the user in losing weight. The system of the preferred embodiments may, however, be used for any suitable purpose.

Claims

1. ) A method for human training coordinated by a computer interface, wherein a human user interacts with at least one computing interface;

wherein the at least one computing interface is provided by a device comprising at least one processor and computer readable storage medium;

wherein the user can enter and read data from the computing interface;

wherein the computing device executes computer software code;

wherein the user executes steps displayed by the computing interface related to at least what types of food and how much food the user eats;

wherein the computing interface displays at least once a week at least seven questions to the user related to at least one area including water consumption, types of food eaten, timing of food eaten, type of drink consumed, amount of sleep the user has gotten, dietary supplements taken, amount of food eaten, amount of specific types of foods eaten, whether or not foods eaten fall into certain categories provided to the user in association with the method, characteristics of drink consumed, exercise carried out by the user, amount consumed by the user in certain nutritional categories, food purchased, bowel movements, and resistance of urges;

wherein the user inputs answers to the at least seven questions;

wherein the computing interface further prompts the user to input at least one of A) the user'"'"'s weight, B) the user'"'"'s body fat percentage, C) the user'"'"'s waist measurements, and D) the user'"'"'s body mass index;

wherein the computer interface provides the user with a comparison between the user'"'"'s answers to the at least seven questions to the progress over time of at least one of A) the user'"'"'s weight, B) the user'"'"'s body fat percentage, C) the user'"'"'s waist measurements, and D) the user'"'"'s body mass index.

2. ) The method for human training coordinated by a computer interface of claim 1, wherein the at least seven questions comprise at least one question related to each of 1) water consumption, 2) timing of food eaten, 3) amount of sleep the user has gotten, 4) amount of food eaten, 5) amount of specific types of foods eaten.

3. ) The method for human training coordinated by a computing interface of claim 2, wherein the at least seven questions comprise at least one question related to each of:

I) if the user slept at least seven hours a night, II) if the user took supplements the method instructed that they take, III) if the user ate only foods approved within the method, IV) amount of vegetables eaten, V) amount of vegetables eaten from a category provided with the method, VI) amount of protein eaten compared to the amount instructed with the method, VII) amount of fruit eaten, VIII) amount of water consumed, IX) if at least one of dairy and wheat was consumed, X) if processed food was eaten, XI) if alcohol was consumed, XII) if at least one of sugar, honey, and artificial sweeteners were consumed, XIII) if animal products were eaten from animals not raised according to standards noted in the materials supplied with the method, XIV) at least one of fruits or vegetables were eaten that were not grown according to standards noted in materials supplied with the method, XV) when the user had bowel movements, XVI) if the user resisted emotional urges to violate the method, and XVII) if the user did not eat within three hours of going to sleep.

4. ) The method for human training coordinated by a computing interface of claim 2, wherein the at least seven questions comprise at least one question related to each of:

I) if the user slept at least seven hours a night, II) if the user took supplements the method instructed that they take, III) if the user ate only foods approved within the method, IV) amount of vegetables eaten, V) amount of vegetables eaten from a category provided with the method, VI) amount of protein eaten compared to the amount instructed with the method, VII) amount of fruit eaten, VIII) amount of water consumed, IX) if at least one of dairy and wheat was consumed, X) if at least one food was consumed that was not at least one of prepared, raised, and grown by standards noted in material included with the method, XI) if alcohol was consumed, XII) if at least one of sugar, honey, and artificial sweeteners were consumed, XIII) if the user did not eat within three hours of going to sleep.

5. ) The method for human training coordinated by a computing interface of claim 2, wherein the computing device further comprises at least one network connection to at least one additional computing device, wherein at least one additional user using the at least one additional computing device connected to the computing device by a network connection is shown data related to the user'"'"'s progress in at least one of A) the user'"'"'s weight, B) the user'"'"'s body fat percentage, C) the user'"'"'s waist measurements, and D) the user'"'"'s body mass index;

wherein the software allows the at least one additional user to at least one of

     1) display in the software and

     2) send the user at least one of a message, an e-mail, a text message, a like, and an indicator of social support;

wherein the at least one of a message, an e-mail, a text message, a like, and an indicator of social support provides social support to the user to encourage them to adhere to carrying out the method.

6. ) The method for human training coordinated by a computing interface of claim 4, wherein the computing device further comprises at least one network connection to at least one additional computing device, wherein at least one additional user using the at least one additional computing device connected to the computing device by a network connection is shown data related to the user'"'"'s progress in at least one of A) the user'"'"'s weight, B) the user'"'"'s body fat percentage, C) the user'"'"'s waist measurements, and D) the user'"'"'s body mass index;

wherein the software allows the at least one additional user to at least one of

     1) display in the software and

     2) send the user at least one of a message, an e-mail, a text message, a like, and an indicator of social support;

wherein the at least one of a message, an e-mail, a text message, a like, and an indicator of social support provides social support to the user to encourage them to adhere to carrying out the method.

7. ) The method for human training coordinated by a computing interface of claim 2, wherein the computing device further comprises at least one network connection to at least one additional computing device, wherein at least one additional user using the at least one additional computing device connected to the computing device by a network connection is shown data related to the user'"'"'s progress in at least one of A) the user'"'"'s weight, B) the user'"'"'s body fat percentage, C) the user'"'"'s waist measurements, and D) the user'"'"'s body mass index;

wherein an indicator is automatically provided to the user that the at least one additional user has seen their data when the at least one additional user opens the interface displaying data related to the user'"'"'s progress in at least one of A) the user'"'"'s weight, B) the user'"'"'s body fat percentage, C) the user'"'"'s waist measurements, and D) the user'"'"'s body mass index.

8. ) The method for human training coordinated by a computing interface of claim 4, wherein the computing device further comprises at least one network connection to at least one additional computing device, wherein at least one additional user using at least one additional computing device is shown data related to the user'"'"'s progress in at least one of A) the user'"'"'s weight, B) the user'"'"'s body fat percentage, C) the user'"'"'s waist measurements, and D) the user'"'"'s body mass index;

wherein an indicator is automatically provided to the user that the at least one additional user has seen their data when the at least one additional user opens the interface displaying data related to the user'"'"'s progress in at least one of A) the user'"'"'s weight, B) the user'"'"'s body fat percentage, C) the user'"'"'s waist measurements, and D) the user'"'"'s body mass index.

9. ) The method for human training coordinated by a computing interface of claim 6, wherein at least one additional user using at least one additional computing device is shown data related to the user'"'"'s progress in at least one of A) the user'"'"'s weight, B) the user'"'"'s body fat percentage, C) the user'"'"'s waist measurements, and D) the user'"'"'s body mass index;

wherein an indicator is automatically provided to the user that the at least one additional user has seen their data when the at least one additional user opens the interface displaying data related to the user'"'"'s progress in at least one of A) the user'"'"'s weight, B) the user'"'"'s body fat percentage, C) the user'"'"'s waist measurements, and D) the user'"'"'s body mass index.

10. ) The method for human training coordinated by a computing interface of claim 2, wherein the method instructs the user to consume at least 130% more food than they ordinarily would before carrying out steps of the method involving restricting food intake.

11. ) The method for human training coordinated by a computing interface of claim 4, wherein the method instructs the user to consume at least 130% more food than they ordinarily would before carrying out steps of the method involving restricting food intake.

12. ) The method for human training coordinated by a computing interface of claim 6, wherein the method instructs the user to consume at least 130% more food than they ordinarily would before carrying out steps of the method involving restricting food intake.

13. ) The method for human training coordinated by a computing interface of claim 8, wherein the method instructs the user to consume at least 130% more food than they ordinarily would before carrying out steps of the method involving restricting food intake.

14. ) The method for human training coordinated by a computing interface of claim 9, wherein the method instructs the user to consume at least 130% more food than they ordinarily would before carrying out steps of the method involving restricting food intake.