Invention Grant
- Patent Title: Augmented reality predictions using machine learning
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Application No.: US15868531Application Date: 2018-01-11
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Publication No.: US10755088B2Publication Date: 2020-08-25
- Inventor: Kushal Chawla , Vaishnav Pawan Madandas , Moumita Sinha , Gaurush Hiranandani , Aditya Jain
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: ADOBE INC.
- Current Assignee: ADOBE INC.
- Current Assignee Address: US CA San Jose
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T19/00 ; G06Q30/02 ; G06Q30/06 ; G06N20/00

Abstract:
Systems and methods are disclosed herein for determining user behavior in an augmented reality environment. An augmented reality application executing on a computing system receives a video depicting a face of a person. The video includes a video frame. The augmented reality application augments the video frame with an image of an item selected via input from a user device associated with a user. The augmented reality application determines, from the video frame, a score representing an action unit. The action unit represents a muscle on the face of the person depicted by the video frame and the score represents an intensity of the action unit. The augmented reality application calculates, from a predictive model and based on the score, an indicator of intent of the person depicted by the video.
Public/Granted literature
- US20190213403A1 AUGMENTED REALITY PREDICTIONS USING MACHINE LEARNING Public/Granted day:2019-07-11
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