초록 ▼

This disclosure relates generally to nutritional analysis and recommendations, including systems and methods that provide personalized approaches for analyzing nutrient intake levels and for generating recommendations that are responsive to a user's current nutritional intake and the user's nutritio

This disclosure relates generally to nutritional analysis and recommendations, including systems and methods that provide personalized approaches for analyzing nutrient intake levels and for generating recommendations that are responsive to a user's current nutritional intake and the user's nutrition-related goals. The systems and methods also provide personalized analysis and recommendation for other areas or activities, including applications to exercise adherence, sleep adherence, mediation adherence, and general wellness assessment. Each of these areas or activities can be assessed alone or in combination with one or more other areas or activities.

대표청구항 ▼

1. A system for aligning a person's diet with specific dietary goals, the system comprising: an input port configured to receive (1) data representative of a dietary program comprising a user-designed or a user-selected dietary program for the person and (2) data representative of one or more foods

1. A system for aligning a person's diet with specific dietary goals, the system comprising: an input port configured to receive (1) data representative of a dietary program comprising a user-designed or a user-selected dietary program for the person and (2) data representative of one or more foods consumed by the person, wherein the dietary program includes a nutrition-related goal for the person;at least one computer processor, in communication with the input port and an electronic database configured to store nutritional information related to a plurality of foods, the at least one computer processor configured to: generate, based on the dietary program, a target nutritional profile including a target level for each of a plurality of target nutrients associated with the dietary program, wherein the target nutrients include a plurality of micronutrients and a plurality of macronutrients;generate, based on the nutritional information in the electronic database, a consumed amount for each of a plurality of consumed nutrients associated with the one or more foods previously consumed by the person;compute a deviation for each of the target nutrients by comparing the target level of the target nutrient to the consumed amount of the respective target nutrient to obtain a plurality of deviations, wherein each deviation indicates a deficit for the respective target nutrient if the consumed amount of the target nutrient is below the target level of the target nutrient, and an excess for the respective target nutrient if the consumed amount of the target nutrient is above the target level of the target nutrient;determine a nutrient coefficient for each target nutrient based on the nutrition-related goal associated with the person, wherein the nutrient coefficient for each target nutrient is indicative of an importance of the respective target nutrient to the person relative to other target nutrients;compute a nutritional index that represents an aggregate alignment between the consumed amounts of the plurality of consumed nutrients and the target nutritional profile, wherein the nutritional index is based on a weighted function that applies the nutrient coefficient for each target nutrient to the respective deviation for the target nutrient;generate a plurality of food recommendations and a predicted index impact for each of the food recommendations, each food recommendation comprising a recommended food and a specified portion size of the recommended food that if consumed by the person improves an alignment of at least one of the target nutrients and simultaneously reduces a negative impact on an alignment of at least another one of the target nutrients, wherein the predicted index impact for each recommended food is indicative of a predicted change in the nutritional index if the person consumes the recommended food; andan output port configured to provide the nutritional index, the predicted index impact for each food recommendation, and the plurality of food recommendations for display by a user interface device, wherein the user interface device is configured to display the plurality of food recommendations in an order determined based at least in part on the predicted index impact associated with each food recommendation. 2. The system of claim 1, wherein the nutrition-related goal is selected from the group consisting of a diet goal, a weight goal, an exercise goal, and a medical condition. 3. The system of claim 1, wherein the data representative of the one or more foods previously consumed by the person comprise data representative of a plurality of consumed meals previously consumed by the person, each consumed meal comprising a specified portion for each of a plurality of foods in the consumed meal, and wherein the at least one computer processor is configured to generate the food recommendations by:generating data indicative of a modified meal for each of the plurality of consumed meals, wherein each modified meal comprises a modified portion for at least one of the plurality of foods contained in the respective consumed meal;computing a candidate index impact for each of the modified meals, the candidate index impact being indicative of a quantified change in the nutritional index if the modified meal is consumed by the person; andselecting as the food recommendations a subset of the modified meals based on the associated candidate index impact. 4. The system of claim 1, wherein the output port is further configured to provide data representative of the deviation for each of a subset of the plurality of target nutrients for display by the user interface device, and wherein the at least one computer processor is configured to receive from the user interface device a selected target nutrient from the subset of target nutrients, and in response to the receiving the selected target nutrient: provide to the output port data indicative of a plurality of new foods not previously consumed by the person if the deviation for the selected target nutrient indicates a deficit; andprovide to the output port data indicative of a plurality of previously consumed foods if the deviation for the selected target nutrient indicates an excess. 5. The system of claim 1, wherein the nutritional index is representative of the alignment between the person's diet and the dietary program over a predefined time period between 3 days to 10 days. 6. The system of claim 1, wherein the at least one computer processor, the input port, and the output port are housed in the user interface device. 7. The system of claim 6, wherein the user interface device comprises a GPS-enabled mobile device, and wherein the at least one computer processor is configured to determine that one or more locations detected using the GPS device correspond to a restaurant and to provide a prompt to the user interface device to identify foods consumed at the restaurant. 8. The system of claim 1, wherein the food recommendations comprise a plurality of recommended meals in a recommended meal plan for a plurality of days, wherein each recommended meal is associated with a recommended calendar date. 9. The system of claim 3, wherein the at least one computer processor is configured to select the subset of modified meals by selecting the modified meals having a candidate index impact that is equal to or greater than a threshold. 10. The system of claim 3, wherein each of the candidate modified meals is associated with a meal classification selected from the group consisting of breakfast, brunch, lunch, snack, and dinner, and wherein the at least one computer processor is further configured to associate each of the food recommendations with a recommended calendar date and a recommended meal classification identical to the meal classification of the corresponding candidate modified meal. 11. The system of claim 10, wherein each meal classification is associated with a predetermined caloric allowance, and wherein the at least one computer processor is configured to modify the one or more specified portion sizes based on the caloric allowance. 12. The system of claim 1, wherein the at least one computer processor is configured to select as the recommended food a candidate food from the plurality of foods not previously consumed by the person. 13. The system of claim 1, wherein the at least one computer processor is configured to assign a nutrient coefficient to each target nutrient by assigning a first numeric coefficient to the target nutrient if the target nutrient is in deficit and assigning a second numeric coefficient to the target nutrient if the target nutrient is in excess, wherein the nutrient coefficient assigned is indicative of a relative importance of an excess compared to a deficit of the target nutrient. 14. The system of claim 1, wherein the at least one computer processor is configured to determine the nutrient coefficient for each target nutrient based on a weight function associated with the target nutrient. 15. The system of claim 1, wherein the at least one computer processor is configured to provide the nutritional index as a number, an alphabetical grade, a color selected from a color gradient indicative of a range of the nutritional index, or a graphical icon. 16. A method for aligning a person's diet with specific dietary goals, the method comprising: receiving in a computer system in communication with an electronic database (1) data representative of a dietary program comprising a user-designed or a user-selected dietary program for the person and (2) data representative of one or more foods consumed by the person, wherein the dietary program includes a nutrition-related goal for the person and the electronic database stores nutritional information related to a plurality of foods; said computer system performs the steps of:generating, based on the dietary program, a target nutritional profile including a target level for each of a plurality of target nutrients associated with the dietary program, wherein the target nutrients include a plurality of micronutrients and a plurality of macronutrients;generating, based on the nutritional information in the electronic database, a consumed amount for each of a plurality of consumed nutrients associated with the one or more foods previously consumed by the person;computing a deviation for each of the target nutrients by comparing the target level of the target nutrient to the consumed amount of the respective target nutrient to obtain a plurality of deviations, wherein each deviation indicates a deficit for the respective target nutrient if the consumed amount of the target nutrient is below the target level of the target nutrient, and an excess for the respective target nutrient if the consumed amount of the target nutrient is above the target level of the target nutrient;determining a nutrient coefficient for each target nutrient based on the nutrition-related goal associated with the person, wherein the nutrient coefficient for each target nutrient is indicative of an importance of the respective target nutrient to the person relative to other target nutrients;computing a nutritional index that represents an aggregate alignment between the consumed amounts of the plurality of consumed nutrients and the target nutritional profile, wherein the nutritional index is based on a weighted function that applies the nutrient coefficient for each target nutrient to the respective deviation for the target nutrient;generating a plurality of food recommendations and a predicted index impact for each of the food recommendations, each food recommendation comprising a recommended food and a specified portion size of the recommended food that if consumed by the person improves an alignment of at least one of the target nutrients and simultaneously reduces a negative impact on an alignment of at least another one of the target nutrients, wherein the predicted index impact for each recommended food is indicative of a predicted change in the nutritional index if the person consumes the recommended food; andproviding, for display by a user interface device, the nutritional index, the predicted index impact for each food recommendation, and the plurality of food recommendations, wherein the user interface device is configured to display the plurality of food recommendations in an order determined based at least in part on the predicted index impact associated with each food recommendation. 17. The method of claim 16, wherein the nutrition-related goal is selected from the group consisting of a diet goal, a weight goal, an exercise goal, and a medical condition. 18. The method of claim 16, wherein the data representative of the one or more foods previously consumed by the person comprise data representative of a plurality of consumed meals previously consumed by the person, each consumed meal comprising a specified portion for each of a plurality of foods in the consumed meal, and generating the food recommendations comprises: generating data indicative of a modified meal for each of the plurality of consumed meals, wherein each modified meal comprises a modified portion for at least one of the plurality of foods contained in the respective consumed meal;computing a candidate index impact for each of the modified meals, the candidate index impact being indicative of a quantified change in the nutritional index if the modified meal is consumed by the person; andselecting as the food recommendations a subset of the modified meals based on the associated candidate index impact. 19. The method of claim 16, further comprising providing data representative of the deviation for each of a subset of the plurality of target nutrients for display by the user interface device; andin response to receiving a selected target nutrient from the subset of target nutrients: providing, for display by the user interface device, data indicative of a plurality of new foods not previously consumed by the person if the deviation for the selected target nutrient indicates a deficit; andproviding, for display by the user interface device, data indicative of a plurality of previously consumed foods if the deviation for the selected target nutrient indicates an excess. 20. The method of claim 16, wherein the nutritional index is representative of the alignment between the person's diet and the dietary program over a predefined time period between 3 days to 10 days. 21. The method of claim 16, wherein the user interface device comprises a mobile user device, and wherein the receiving and the computing are performed by the mobile user device. 22. The method of claim 21, wherein the user interface device comprises a GPS-enabled mobile device, the method further comprising: determining that one or more locations detected using the GPS device correspond to a restaurant; andproviding a prompt to the user interface device to identify foods consumed at the restaurant. 23. The method of claim 16, wherein the food recommendations comprise a plurality of recommended meals in a recommended meal plan for a plurality of days, wherein each recommended meal is associated with a recommended calendar date. 24. The method of claim 18, further comprising selecting, by the computer system, the subset of modified meals by selecting the modified meals having a candidate index impact that is equal to or greater than a threshold. 25. The method of claim 18, wherein each of the candidate modified meals is associated with a meal classification selected from the group consisting of breakfast, brunch, lunch, snack, and dinner, the method further comprising associating each of the food recommendations with a recommended calendar date and a recommended meal classification identical to the meal classification of the corresponding candidate modified meal. 26. The method of claim 25, wherein each meal classification is associated with a predetermined caloric allowance, the method further comprising modifying the one or more specified portion sizes based on the caloric allowance. 27. The method of claim 16, further comprising selecting as the recommended food a candidate food from the plurality of foods not previously consumed by the person. 28. The method of claim 16, further comprising assigning a nutrient coefficient to each target nutrient by assigning a first numeric coefficient to the target nutrient if the target nutrient is in deficit and assigning a second numeric coefficient to the target nutrient if the target nutrient is in excess, wherein the nutrient coefficient assigned is indicative of a relative importance of an excess compared to a deficit of the target nutrient. 29. The method of claim 16, further comprising determining the nutrient coefficient for each target nutrient based on a weight function associated with the target nutrient. 30. The method of claim 16, further comprising displaying the nutritional index as a number, an alphabetical grade, a color selected from a color gradient indicative of a range of the nutritional index, or a graphical icon.