SYSTEM AND METHOD FOR AUTOMATED PERSONALIZED AND COMMUNITY-SPECIFIC EATING AND ACTIVITY PLANNING, LINKED TO TRACKING SYSTEM WITH AUTOMATED MULTIMODAL ITEM IDENTIFICATION AND SIZE ESTIMATION SYSTEM

• US 20120094258A1
• Filed: 05/12/2011
• Published: 04/19/2012
• Est. Priority Date: 05/12/2010
• Status: Active Grant

• Current Assignee: Zipongo, Inc.
• Original Assignee: Zipongo, Inc.
• Inventors: LANGHEIER, Jason, TCHENG, David Kim
• Granted Patent: US 10,706,128 B2
• Time in Patent Office: Days
• US Class Current: 434/127
• 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 40/63 for local operation

Abstract

The system and method for automated personalized and community-specific eating and activity planning are provided that are linked to tracking with automated multimodal item identification and size estimation and enable and integrate health and other user datastreams and enables rewards and links to healthy eating and activity partners based on that data. The system and method also provide personalized wellness recommendations. The system and method also enables action, such as single click ordering of the healthy meals or shopping list on one'"'"'s plan from local restaurants and grocery stores, and receipt of mobile vouchers and coupons with a unique validation system for use at retailers.

Claims

1. A system for nutritional management, comprising:

one or more computing devices;

a nutritional management unit that is capable of being connected to and interacting with each of the one or more computing devices over a link; and

the nutritional management unit further comprising a nutritional planning unit that uses multimodal recognition to determine one of a food, an exercise and other items from images and voice recordings and subsetting to menus upon checking into a specific food venue, and a recommendation unit that recommends, based on user data, one of a meal and an activity to the user to balance the caloric and nutritional intake, and caloric output, physical activity methods and sleep duration of the user.

2. The system of claim 1, wherein the nutritional planning unit further comprises a user interface that allows the user to track entries of nutritional planning

3. The system of claim 2, wherein the entries are one of a meal, an exercise, a sleep time, a mood and a custom item.

4. The system of claim 1, wherein the multimodal recognition is one of a geolocation at a time proximate to an entry of the food item, a visual recognition of the food item and a barcode of the package of the food item.

5. The system of claim 1, wherein each computing device is one of a smartphone mobile device, a laptop computer, a tablet computer, a body scale, an accelerometer or GPS-based physical activity tracking device, and a sleep tracking device.

6. The system of claim 1, wherein the user data further comprises one or more of stored foods, stored activities, favorite and least favorite foods and activities, restrictions, budget information, transportation preferences, home location, age, gender and wherein the recommendation unit recommends one of a personalized meal and a personalized activity to the user based on the user data.

7. The system of claim 2, wherein user interface generates a lifemap that displays one or more variables over a period of time for the user based on the user data.

8. The system of claim 7, wherein the one or more variables are one of calories, breakdown of carbohydrate, fat, protein or other nutrients, exercise caloric output, duration, intensity and type, sleep duration and quality, mood score, body weight or fat percentage, and other symptoms, performance outcomes or disease outcomes.

9. The system of claim 1, wherein the nutritional planning unit generates a personalized plan and guide for the user based, in part, on the recommendations.

10. The system of claim 1, wherein the nutritional planning unit generates a printable voucher or coupon that is redeemable for one of a discounted purchase and a free purchase through any point of sale system by a user of the system.

11. The system of claim 1, wherein the nutritional planning unit generates a mobile voucher or coupon that is redeemable for one of a discounted purchase and a free purchase through a point of sale system by a user of the system.

12. The system of claim 1, wherein the nutritional planning unit predicts a risk of future diseases and causes of symptoms.

13. A method for nutritional management, physical activity management, sleep management, weight management and performance management using one or more computing devices and a nutritional management unit that is capable of being connected to and interacting with each of the one or more computing devices over a link, the method comprising:

recognizing, by a nutritional planning unit of the nutritional management unit, one of a food, an exercise and other items using multimodal recognition and subsetting to menus upon checking into a specific food venue; and

recommending, by a recommendation unit of the nutritional management unit, one of a meal and an activity to the user to balance the caloric and nutritional intake, and caloric output, physical activity methods and sleep duration of the user.

14. The method of claim 13 further comprising generating, by the nutritional planning unit, a user interface that allows the user to track entries of nutritional planning.

15. The method of claim 14, wherein the entries are one of a meal, an exercise, a sleep time, a mood and a custom item.

16. The method of claim 13, wherein the multimodal recognition is one of a geolocation at a time proximate to an entry of the food item, a visual recognition of the food item and a barcode of the package of the food item.

17. The method of claim 13, wherein the user data further comprises one or more of stored foods, stored activities, favorite and least favorite foods and activities, restrictions, budget information, transportation preferences, home location, age, gender and wherein recommending one of a meal and an activity to the user further comprises recommending one of a personalized meal and a personalized activity to the user based on the user data.

18. The method of claim 13 further comprising generating a lifemap that displays one or more nutritional variables over a period of time for the user based on the user data.

19. The method of claim 18, wherein the one or more nutritional variables are one of calories, exercize, sleep and mood.

20. The method of claim 13 further comprising generating, by the nutritional planning unit, a personalized plan guide for the user based, in part, on the recommendations.

21. The method of claim 13 further comprising generating one of a voucher and a mobile coupon that is redeemable by a user of the system.

22. The method of claim 13 further comprising predicting, by the nutritional planning unit, a risk of future diseases and causes of symptoms based on the user data