Customizing recipe recommendations

• US 10,671,705 B2
• Filed: 09/22/2017
• Issued: 06/02/2020
• Est. Priority Date: 09/28/2016
• Status: Active Grant

• Current Assignee: IFIT Incorporated (Amynta Agency, Inc.)
• Original Assignee: ICON Health & Fitness Incorporated (HF HOLDINGS INC)
• Inventors: Capell, Rebecca Lynn, Ostler, Megan Jane
• Primary Examiner(s): Frisby, Kesha
• Application Number:
  US15/712,682
• Publication Number:
  US 20180089396A1
• Time in Patent Office: 984 Days
• Field of Search: 434127
• CPC Class Codes: A61B 5/22 Ergometry; Measuring muscular strength or the force of a muscular blow exercising apparatus A63B21/00 ; measuring of work or force in general G01L
• CPC Class Codes: A63B 24/0062 Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
• CPC Class Codes: G09B 19/0092 Nutrition
• 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 40/67 for remote operation

Abstract

A method for customizing recipe recommendations may include receiving a target number of calories for a user, receiving physical movement data of the user from one or more electronic sensors configured to directly measure physical movement of the user, analyzing the received physical movement data, determining one or more physical movement parameters based on the analysis of the received physical movement data, determining the recentness of each of the recipes being recommended or logged to the user, assigning a weight to each of the recipes based on the received target number of calories for the user, the determined one or more physical movement parameters, and the determined recentness of the recipe being recommended or logged to the user, ranking the recipes based on their assigned weights, and generating a custom recipe recommendation for the user based on the ranking of the recipes.

Claims

1. A method for customizing recipe recommendations, the method comprising:

receiving, at a server, a target number of calories for a user, entered on a webpage of a website hosted at the server;

receiving, at the server, physical movement data of the user from one or more electronic sensors configured to directly measure physical movement of the user and configured to wirelessly transmit the physical movement data to the server over a network;

analyzing, at the server, the received physical movement data;

determining, at the server, one or more physical movement parameters based on the analysis of the received physical movement data;

determining, at the server, a recentness of each of multiple recipes being recommended or logged to the user;

assigning, at the server, a weight to each of the recipes based on the received target number of calories for the user, the determined one or more physical movement parameters, and the determined recentness of the recipe being recommended or logged to the user;

ranking, at the server, the recipes based on their assigned weights; and

generating, at the server, a custom recipe recommendation for the user based on the ranking of the recipes.

2. The method of claim 1, wherein the determined one or more physical movement parameters include a number of calories burned by the user.

3. The method of claim 2, wherein the one or more electronic sensors are included in a wearable activity tracker configured to be worn on a wrist of the user.

4. The method of claim 2, wherein the one or more electronic sensors includes an exercise machine electronic sensor.

5. The method of claim 1, wherein the one or more electronic sensors includes a sleep electronic sensor configured to be positioned in a bed of the user.

6. The method of claim 5, wherein the determined one or more physical movement parameters include a sleep quality experienced by the user.

7. The method of claim 1, wherein:

the method further comprises receiving, via the webpage of the website hosted at the server, a cuisine preference of the user; and

the assigning, at the server, of the weight to each of the recipes is further based on the received cuisine preference of the user.

8. The method of claim 1, wherein:

the method further comprises receiving, via the webpage of the website hosted at the server, a diet preference of the user; and

the assigning, at the server, of the weight to each of the recipes is further based on the received diet preference of the user.

9. The method of claim 1, wherein:

the method further comprises receiving, via the webpage of the website hosted at the server, an allergy status of the user; and

the assigning, at the server, of the weight to each of the recipes is further based on the received allergy status of the user.

10. The method of claim 1, wherein:

the method further comprises receiving, via the webpage of the website hosted at the server, a meat preference of the user; and

the assigning, at the server, of the weight to each of the recipes is further based on the received meat preference of the user.

11. A method for customizing recipe recommendations, the method comprising:

receiving, at a server, a target number of calories for a user, a cuisine preference of the user, a diet preference of the user, an allergy status of the user, and a meat preference of the user, entered on a webpage of a website hosted at the server;

receiving, at the server, physical movement data of the user from one or more electronic sensors configured to directly measure physical movement of the user and configured to wirelessly transmit the physical movement data to the server over a network;

analyzing, at the server, the received physical movement data;

determining, at the server, one or more physical movement parameters based on the analysis of the received physical movement data, the determined one or more physical movement parameters including a number of calories burned by the user;

determining, at the server, a recentness of each of multiple recipes being recommended or logged to the user;

assigning, at the server, a weight to each of the recipes based on the received target number of calories for the user, the received cuisine preference of the user, the received diet preference of the user, the received allergy status of the user, and the received meat preference of the user, the determined one or more physical movement parameters, and the determined recentness of the recipe being recommended or logged to the user;

ranking, at the server, the recipes based on their assigned weights; and

generating, at the server, a custom recipe recommendation for the user based on the ranking of the recipes.

12. The method of claim 11, wherein the one or more electronic sensors are included in a wearable activity tracker configured to be worn on a wrist of the user and configured to count the steps of the user.

13. The method of claim 11, wherein the one or more electronic sensors includes an exercise machine electronic sensor configured to track an amount of effort expended by the user on the exercise machine.

14. The method of claim 11, wherein the one or more electronic sensors includes a sleep electronic sensor configured to be positioned in a bed of the user and configured to track movement of the user while in the bed.

15. The method of claim 14, wherein the determined one or more physical movement parameters include a sleep quality experienced by the user.

16. One or more non-transitory computer-readable media storing one or more programs that are configured, when executed, to cause one or more processors to perform a method for customizing recipe recommendations, the method comprising:

receiving, at a server, a target number of calories for a user, a cuisine preference of the user, a diet preference of the user, an allergy status of the user, and a meat preference of the user, entered on a webpage of a website hosted at the server;

receiving, at the server, physical movement data of the user from one or more electronic sensors, the one or more electronic sensors configured to directly measure physical movement of the user and configured to wirelessly transmit the physical movement data to the server over a network;

analyzing, at the server, the physical movement data;

determining, at the server, one or more physical movement parameters based on the analysis of the physical movement data, the determined one or more physical movement parameters including a number of calories burned by the user;

determining, at the server, a recentness of each of multiple recipes being recommended or logged to the user;

assigning, at the server, a weight to each of the recipes based on the received target number of calories for the user, the received cuisine preference of the user, the received diet preference of the user, the received allergy status of the user, and the received meat preference of the user, the determined one or more physical movement parameters, and the determined recentness of the recipe being recommended or logged to the user;

ranking, at the server, the recipes based on their assigned weights; and

generating, at the server, a custom recipe recommendation for the user based on the ranking of the recipes.

17. The one or more non-transitory computer-readable media of claim 16, wherein the one or more electronic sensors are included in a wearable activity tracker configured to be worn on a wrist of the user and configured to count the steps of the user and configured to track movement of the user while in bed.

18. The one or more non-transitory computer-readable media of claim 16, wherein the one or more electronic sensors includes an exercise machine electronic sensor configured to track an amount of effort expended by the user on the exercise machine and configured to track a simulated distance traveled by the user on the exercise machine.

19. The one or more non-transitory computer-readable media of claim 16, wherein the one or more electronic sensors includes a sleep electronic sensor configured to be positioned in a bed in a room of the user and configured to track movement of the user while in the bed and track a temperature of the room while the user is in the bed.

20. The one or more non-transitory computer-readable media of claim 19, wherein the determined one or more physical movement parameters include a sleep quality experienced by the user.