Food logging from images
US9977980B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 17, 2017 |
| Grant date | May 22, 2018 |
| Priority date | — |
| Expiry date | Apr 17, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/153
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A “Food Logger” provides various approaches for learning or training one or more image-based models (referred to herein as “meal models”) of nutritional content of meals. This training is based on one or more datasets of images of meals in combination with “meal features” that describe various parameters of the meal. Examples of meal features include, but are not limited to, food type, meal contents, portion size, nutritional content (e.g., calories, vitamins, minerals, carbohydrates, protein, salt, etc.), food source (e.g., specific restaurants or restaurant chains, grocery stores, particular pre-packaged foods, school meals, meals prepared at home, etc.). Given the trained models, the Food Logger automatically provides estimates of nutritional information based on automated recognition of new images of meals provided by (or for) the user. This nutritional information is then used to enable a wide range of user-centric interactions relating to food consumed by individual users.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.