GENERAL HEALTH AND WELLNESS MANAGEMENT METHOD AND APPARATUS FOR A WELLNESS APPLICATION USING DATA ASSOCIATED WITH A DATA-CAPABLE BAND

• US 20140127649A1
• Filed: 11/08/2012
• Published: 05/08/2014
• Est. Priority Date: 11/08/2012
• Status: Abandoned Application

• Current Assignee: JB IP Acquisitions LLC
• Original Assignee: AliphCom, Inc. (AliphCom Corp.)
• Inventors: Utter, Max Everett II
• Application Number:
  US13/672,268
• Publication Number:
  US 20140127649A1
• Time in Patent Office: Days
• US Class Current: 434/127
• CPC Class Codes: G09B 19/0092 Nutrition
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets

Abstract

Health and wellness management techniques and devices are described including receiving data representing a nutrition profile defining parameters upon which a target score is established based on nutrition consumption, acquiring other data representing subsets of acquired parameters, determining values for the subsets of the acquired parameters based on reference values for the parameters set forth in the nutrition profile, calculating a nutrition score based on the values, determining a magnitude of a difference between the nutrition score and the target score, predicting a subset of the acquired parameters to reduce the difference between the nutrition score and the target score, the subset of the acquired parameters being predicted based on at least one of an environmental parameter and a social parameter, and causing generation of a representation of a recommendation to engage in nutrition intake.

Claims

1. A method comprising:

receiving data representing a nutrition profile defining parameters upon which a target score is established based on nutrition consumption;

acquiring other data representing one or more subsets of acquired parameters;

determining values for the one or more subsets of the acquired parameters based on reference values for the parameters set forth in the nutrition profile;

calculating at a first processor a nutrition score based on the values;

determining a magnitude of a difference between the nutrition score and the target score;

predicting a subset of the acquired parameters to reduce the difference between the nutrition score and the target score, the subset of the acquired parameters being predicted based on at least one of an environmental parameter and a social parameter; and

causing generation of a representation of a recommendation to engage in nutrition intake.

2. The method of claim 1, wherein the subset of the acquired parameters describes at least a portion of the nutrition intake recommended to attain the target score.

3. The method of claim 1, further comprising:

determining data representing an adjusted nutrition subscore based on the acquired parameters, the acquired parameters being associated with a first meal.

4. The method of claim 3, further comprising receiving at a data interface the social parameter describing a second meal planned for consumption at a later time, wherein the recommendation comprises one or more consumable material components of an intervening meal to be consumed between the first meal and the second meal.

5. The method of claim 1, further comprising receiving at a data interface the environmental parameter describing a location, wherein the recommendation comprises one or more consumable material components on a menu associated with the location.

6. The method of claim 1, wherein at least part of the other data is acquired using a sensor disposed in a wearable computing device, the sensor configured to detect sunlight.

7. The method of claim 6, further comprising:

calculating an amount of skin-generated vitamin D using the at least part of the other data; and

modifying a calculation of the nutrition score based on the amount of skin-generated vitamin D.

8. The method of claim 1, further comprising:

presenting the representation of the recommendation using an interface.

9. The method of claim 1, wherein each of the parameters includes a type of consumable material and a nutrient composition for a unit of the consumable material.

10. The method of claim 1, wherein acquiring other data representing one or more subsets of acquired parameters includes receiving input associated with a user'"'"'s nutrition intake.

11. The method of claim 1, wherein acquiring other data representing one or more subsets of acquired parameters includes receiving sensor data from one or more sensors, the sensor data associated with nutrition consumption.

12. The method of claim 1, wherein the acquiring other data representing one or more subsets of acquired parameters includes deriving data from sensor data received from one or more sensors, the sensor data associated with nutrition consumption.

13. The method of claim 1, wherein causing generation of the representation of the recommendation to engage in nutrition intake comprises causing generation of the representation of the recommendation to eat.

14. The method of claim 1, wherein causing generation of the representation of the recommendation to engage in nutrition intake comprises causing generation of the representation of the recommendation to drink.

15. A device, comprising:

a first interface configured to receive data representing acquired parameters;

a processor configured to implement an aggregation engine comprising a nutrition manager, a general health and wellness manager, and a conversion module, the aggregation engine configured to determine values for the one or more subsets of the acquired parameters based on reference values for the parameters set forth in the nutrition profile, to calculate a nutrition score based on the values, to determine a magnitude of a difference between the nutrition score and the target score, to predict a subset of the acquired parameters to reduce the difference between the nutrition score and the target score, the subset of the acquired parameters being predicted based on at least one of an environmental parameter and a social parameter, and to generate a representation of a recommendation to engage in nutrition intake; and

a second interface configured to cause presentation of the representation of the recommendation.

16. The device of claim 15, wherein the aggregation engine further comprises a score generator configured to calculate and adjust the nutrition score.

17. The device of claim 15, wherein the aggregation engine further comprises an environmental manager configured to provide the environmental parameter.

18. The device of claim 15, wherein the aggregation engine further comprises a social manager configured to provide the social parameter.

19. The device of claim 15, further comprising a repository configured to store one or more nutrition profiles.