- Patent Title: Monitoring and analyzing body language with machine learning, using artificial intelligence systems for improving interaction between humans, and humans and robots
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Application No.: US16956485Application Date: 2019-05-24
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Publication No.: US11443557B2Publication Date: 2022-09-13
- Inventor: Henricus Meinardus Gerardus Stokman , Marc Jean Baptist Van Oldenborgh , Fares Alnajar
- Applicant: KEPLER VISION TECHNOLOGIES B.V.
- Applicant Address: NL Amsterdam
- Assignee: KEPLER VISION TECHNOLOGIES B.V.
- Current Assignee: KEPLER VISION TECHNOLOGIES B.V.
- Current Assignee Address: NL Amsterdam
- Agency: AEON Law, PLLC
- Agent Adam L. K. Philipp; David V. H. Cohen
- Priority: NL2020989 20180525,NL2020996 20180528
- International Application: PCT/NL2019/050301 WO 20190524
- International Announcement: WO2019/226051 WO 20191128
- Main IPC: G06V40/20
- 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.
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