公开(公告)号：US11908245B2

公开(公告)日：2024-02-20

申请号：US17931268

申请日：2022-09-12

Applicant: KEPLER VISION TECHNOLOGIES B.V.

Inventor： Henricus Meinardus Gerardus Stokman ,  Marc Jean Baptist Van Oldenborgh ,  Fares Alnajar

IPC: G06V40/20 ,  G06T7/70 ,  G06N20/00

CPC classification number: G06V40/28 ,  G06N20/00 ,  G06T7/70 ,  G06T2207/10016 ,  G06T2207/20076 ,  G06T2207/30196 ,  G06V2201/07

Abstract: A body language system for determining a body language message of a living being in a context comprising an artificial intelligence system, said AI system running a computer program that: retrieves an image of said living being showing body language; labels said living being in said image, resulting in a labeled living being; determines said context from said image using a trained machine learning model; determines a baseline body language of said labeled living being from said image using a trained machine learning model; adapts a trained machine learning model of said AI system using said baseline body language and said context; applies the adapted trained machine learning model of said AI system to the one image for categorizing said body language resulting in a category, and applying said category for determining said body language message.

公开(公告)号：US11443557B2

公开(公告)日：2022-09-13

申请号：US16956485

申请日：2019-05-24

Applicant: KEPLER VISION TECHNOLOGIES B.V.

Inventor： Henricus Meinardus Gerardus Stokman ,  Marc Jean Baptist Van Oldenborgh ,  Fares Alnajar

IPC: G06V40/20 ,  G06T7/70 ,  G06N20/00

Abstract: A body language system for determining a body language message of a living being in a context comprising an artificial intelligence system, said AI system running a computer program that: retrieves an image of said living being showing body language; labels said living being in said image, resulting in a labeled living being; determines said context from said image using a trained machine learning model; determines a baseline body language of said labeled living being from said image using a trained machine learning model; adapts a trained machine learning model of said AI system using said baseline body language and said context; applies the adapted trained machine learning model of said AI system to the one image for categorizing said body language resulting in a category, and applying said category for determining said body language message.