DYNAMIC NUTRITION TRACKING UTENSILS

• US 20160300508A1
• Filed: 07/02/2015
• Published: 10/13/2016
• Est. Priority Date: 04/13/2015
• Status: Active Grant

• Current Assignee: Umar Rahim Bakhsh
• Original Assignee: Umar Rahim Bakhsh
• Inventors: Bakhsh, Umar Rahim
• Granted Patent: US 9,719,841 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A47G 21/02 Forks; Forks with ejectors; Combined forks and spoons; Salad servers
• CPC Class Codes: A47G 21/023 Forks; Forks with ejectors
• CPC Class Codes: A47G 21/04 Spoons; Pastry servers
• CPC Class Codes: A47G 2200/08 Illumination
• CPC Class Codes: A47G 2200/186 meter; timer
• CPC Class Codes: A47G 2200/22 Weight
• CPC Class Codes: A47G 23/12 Consumption counters combined with table-ware or table-service
• CPC Class Codes: B26B 11/008 comprising electronic or electrical features, e.g. illuminating means, computing devices or sensors
• CPC Class Codes: B26B 3/02 Table-knives B26B9/02 takes precedence
• CPC Class Codes: G01G 19/4146 for controlling caloric intake, e.g. diet control
• CPC Class Codes: G01G 19/56 combined with handles of tools or household implements
• CPC Class Codes: G09B 19/0092 Nutrition
• CPC Class Codes: G09B 5/02 with visual presentation of the material to be studied, e.g. using film strip

Abstract

Systems, methods, and computer-readable media are disclosed for dynamic nutrition tracking with utensils. Example methods may include receiving an image of a first food item positioned at a first location and a second food item positioned at a second location, the image comprising location metadata, determining, based at least in part on the image and the location metadata, a first set of coordinates corresponding to a first perimeter of the first location of the first food item, and determining a second set of coordinates corresponding to a second perimeter of the second location of the second food item. Example methods may include determining that a utensil performed a gesture associated with a food consumption event, determining that an origination point of the food consumption utensil at a start of the gesture was within the first perimeter, and identifying a weight measurement of a food portion on the utensil.

Claims

1. A method comprising:

receiving, by one or more computer processors coupled to at least one memory, an image of a first food item positioned at a first location and a second food item positioned at a second location, the image comprising location metadata;

determining, based at least in part on the image and the location metadata, a first set of coordinates corresponding to a first perimeter of the first location of the first food item;

determining, based at least in part on the image and the location metadata, a second set of coordinates corresponding to a second perimeter of the second location of the second food item;

determining that a food consumption utensil has performed a gesture associated with a food consumption event;

determining that an origination point of the food consumption utensil at a start of the gesture was within the first perimeter; and

identifying a weight measurement of a food portion on the food consumption utensil.

2. The method of claim 1, further comprising:

determining, based at least in part on the origination point, that the food portion is the first food item;

determining, based at least in part on the weight measurement and the origination point, nutritional information of the food portion; and

presenting the nutritional information.

3. The method of claim 1, wherein determining that the food consumption utensil has performed the gesture comprises:

identifying the origination point of the food consumption utensil;

determining that the food consumption utensil is in an upward motion; and

determining that the food consumption utensil has moved a predetermined length upwards from the origination point, wherein the predetermined length corresponds to a calibrated gesture length for a user.

4. The method of claim 1, further comprising:

analyzing the image to generate image analysis data;

predicting the first food item based at least in part on the image analysis data; and

presenting the predicted first food item.

5. The method of claim 4, further comprising:

determining that the predicted first food item is incorrect;

generating a prompt for a predicted food item correction;

receiving a corrected predicted food item;

associating the corrected predicted food item with the image analysis data; and

storing the corrected predicted food item.

6. The method of claim 1, wherein the first set of coordinates include x-direction coordinates, y-direction coordinates, and z-direction coordinates.

7. The method of claim 1, wherein the first set of coordinates and the second set of coordinates are mutually exclusive.

8. The method of claim 1, further comprising:

identifying the origination point of the food consumption utensil by determining a change in weight from zero to a positive weight of a food portion on the food consumption utensil.

9. A method comprising:

receiving, by one or more computer processors coupled to at least one memory, a first input indicative of an initiation of a food consumption event;

triggering a load cell configured to detect a first weight measurement of a food portion on a food consumption utensil;

triggering, after a predetermined length of time, the load cell to detect a second weight measurement;

determining that a difference between the first weight measurement and the second weight measurement meets or exceeds a food consumption interruption threshold; and

discarding the first weight measurement and the second weight measurement based at least in part on the food consumption interruption threshold.

10. The method of claim 9, further comprising:

triggering, upon determining that the difference meets the food consumption interruption threshold, the load cell to detect a third weight measurement;

determining that the third weight measurement is greater than the second weight measurement;

determining that the food consumption event is complete; and

using the third weight measurement to determine nutritional information of the food consumption event.

11. The method of claim 10, further comprising:

identifying a food item associated with the food portion; and

identifying nutritional information associated with the food item;

wherein the nutritional information of the food consumption event is based at least in part on the nutritional information associated with the food item and the third weight measurement.

12. The method of claim 10, wherein the first weight measurement is greater than the second weight measurement and the third weight measurement is greater than the second weight measurement.

13. The method of claim 9, further comprising:

triggering the load cell to detect a third weight measurement;

determining that the third weight measurement is greater than the second weight measurement;

determining an elapsed time between the third weight measurement and the second weight measurement is less than a minimum food consumption time interval; and

using the third weight measurement to determine nutritional information of the food consumption event.

14. The method of claim 9, wherein the second weight measurement is greater than zero and the first weight measurement is greater than the second weight measurement.

15. A method comprising:

determining, by one or more computer processors coupled to at least one memory, initiation of a food consumption event;

determining a first timestamp at the initiation of the food consumption event;

determining that the food consumption event is complete at a second timestamp;

determining, at a first periodic time interval after the first timestamp, a first weight measurement of a food portion to be consumed;

determining, at a second periodic time interval after the first periodic time interval, a second weight measurement of the food portion to be consumed; and

determining an average weight measurement based at least in part on the first weight measurement and the second weight measurement.

16. The method of claim 15, further comprising:

determining a nutritional content of the food portion based at least in part on the average weight measurement.

17. The method of claim 16, further comprising generating a food item recommendation based at least in part on the nutritional content.

18. The method of claim 15, wherein determining that the food consumption event is complete comprises determining a third weight measurement of the food portion is equal to approximately zero.

19. The method of claim 15, wherein determining that the food portion has been consumed comprises determining that a predetermined length of time has elapsed from the first timestamp.

20. The method of claim 15, wherein determining initiation of a food consumption event comprises:

detecting a motion gesture;

comparing the motion gesture to a set of stored motion gestures;

determining that the motion gesture is within a predefined tolerance of one of the set of stored motion gestures; and

determining that the motion gesture corresponds to a food consumption event.