Systems and methods for diet quality photo navigation utilizing dietary fingerprints for diet assessment

A method for an image-based dietary assessment system, the method comprising:

• a first database including a plurality of records including elemental images and attributes associated with content depicted in the elemental images, the content including a least one of a food or a beverage, the attributes defining one or more of a type of multi-day diet pattern and a quality of a multi-day diet pattern;
• querying, via a server, the first database to retrieve a set of elemental image files for a specified type of multi-day diet pattern;
• iteratively eliminating the elemental image files in the set of elemental image files by the server, based on the attributes stored in the database for the elemental images, to define a selected subset of elemental image files, the subset containing fewer images than in the set of elemental image files;
• extracting, via the server, elements from the elemental images in the subset of elemental image files;
• creating a new image file defining an image canvas;
• inserting the elements extracted from the elemental images into the image canvas at specified locations to generate an image vignette associated with the multi-day diet pattern, the image vignette incorporating at least two of the elements extracted from the elemental images in the subset of elemental images
• wherein the image vignette presents dietary characteristics of at least one of a different diet quality level or a different diet type and is associated with a-specific multi-day diet pattern;
• storing the new image file;
• and
• creating a record in a second database for the image vignette and associating the record with a diet type and diet quality level.

A method for an image-based dietary assessment system, the method comprising:

• generating image vignettes for each of a plurality of diet type and diet quality combinations from a previously stored set of images of at least one of food and beverages, the image vignettes each including a subset of a total amount of elements from the set of images and associated with a multi-day dietary intake pattern, the subset containing fewer elements than in the set of images;
• iteratively rendering a first plurality of image vignettes in a graphical user interface for selection by a user, wherein each of the image vignettes in the first plurality of image vignettes presents dietary characteristics of at least one of a different diet quality level or a different diet type;
• receiving one or more first selections from the user in the graphical user interface of one or more of the image vignettes of the first plurality of the image vignettes;
• in response to receiving the one or more first selections in the graphical user interface, iteratively rendering a second plurality of image vignettes in the graphical user interface for selection by the user, the second plurality of image vignettes being selected based on the first selection by the user and includes at least one image vignette that is different from the image vignettes in the first plurality of image vignettes;
• receiving one or more second selections from the user in the graphical user interface of one or more of the image vignettes of the second plurality of image vignettes;
• in response to receiving the one or more second selections in the graphical user interface, iteratively rendering a third plurality of image vignettes in the graphical user interface for selection by the user, wherein at least one of the image vignettes in the third plurality of image vignettes is different from the second plurality of images vignettes;
• receiving one or more third selections from the user in the graphical user interface of one or more of the image vignettes in the third plurality of image vignettes;
• determining a user specific assessment of diet quality and type and an estimate of caloric intake and nutritional data for the user based on the one or more first, one or more second, and one or more third selections, wherein the one or more first selections are used to determine a diet type of the user and the one or more second selections and the one or more third selections are used to determine a diet quality level of the user;
• and
• rendering the user specific assessment of diet quality and type and the estimate of caloric intake and nutritional data in the graphical user interface,
• wherein an arrangement of the first, second, and third plurality of image vignettes depends on a size or orientation of the display of the client device executing the client application.