公开(公告)号：US10360495B2

公开(公告)日：2019-07-23

申请号：US15859062

申请日：2017-12-29

申请人： Suggestic, Inc.

发明人： Victor Chapela ,  Ricardo Corral Corral

IPC分类号： G06T19/00 ,  A61B5/00 ,  G06F1/16 ,  G06N3/02 ,  G06N3/04 ,  G06N3/08 ,  G06N5/04 ,  G09B5/02 ,  A23L33/00 ,  A61M5/142 ,  G06F16/27 ,  G06N20/00 ,  G06T11/20 ,  G06T11/60 ,  G09B19/00 ,  G06F16/901 ,  A61B5/0205 ,  G16H20/60 ,  A61B5/08 ,  A61B5/021 ,  A61B5/024 ,  A61B5/145 ,  A61M5/172 ,  A61B5/1455

摘要： Augmented reality and blockchain technology for decision augmentation systems and methods using contextual filtering and personalized program generation are provided herein. An example method includes receiving any of an image, a video stream, and contextual data from a mobile device camera, evaluating any of the image, the video stream, and the contextual data for target food or beverage content by determining ingredient and nutritional components of the target food or beverage content, and applying an augmented reality overlay to the target food or beverage content based on the ingredient and nutritional components.

公开(公告)号：US10685576B2

公开(公告)日：2020-06-16

申请号：US15858713

申请日：2017-12-29

申请人： Suggestic, Inc.

发明人： Victor Chapela ,  Ricardo Corral Corral

IPC分类号： G09B5/02 ,  G06N3/04 ,  G06N3/08 ,  A23L33/00 ,  G06N20/00 ,  G06F16/27 ,  G06F16/901 ,  G06T11/20 ,  G16H50/20 ,  G16H50/30 ,  G06N5/02 ,  G06N7/00 ,  A61B5/0205 ,  A61B5/00 ,  A61M5/142 ,  G06F1/16 ,  G06N5/04 ,  G06T11/60 ,  G09B19/00 ,  G16H20/60 ,  G06N3/02 ,  G06T19/00 ,  A61M5/172 ,  A61B5/021 ,  A61B5/024 ,  A61B5/08 ,  A61B5/145 ,  A61B5/1455

摘要： Augmented reality systems and methods for a decision augmentation system are provided. An example augmented reality system includes a ruleset generator system that creates rulesets based on empirical studies and a personalized program generation system that applies individualized data of a user to create a personalized program for the user based on one or more of the rulesets. In some instances a passive and active feedback system provides empirical results of actions and behaviors of the user and a multivariate causation system selectively adjusts the rulesets based on the empirical results of the actions and behaviors of the user. In various instances, a contextual filtering and adherence scoring system dynamically selects individualized suggestions according to context of the user and the personalized program for the user and provides augmented reality information overlays of the individualized suggestions.