Invention Grant
- Patent Title: Neural network based determination of gaze direction using spatial models
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Application No.: US17005914Application Date: 2020-08-28
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Publication No.: US11657263B2Publication Date: 2023-05-23
- Inventor: Nuri Murat Arar , Hairong Jiang , Nishant Puri , Rajath Shetty , Niranjan Avadhanam
- Applicant: NVIDIA Corporation
- Applicant Address: US CA Santa Clara
- Assignee: NVIDIA Corporation
- Current Assignee: NVIDIA Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Taylor English Duma L.L.P.
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06F18/214 ; G06N20/00 ; G06V10/94 ; G06V20/59 ; G06V20/64 ; G06V40/16 ; G06V40/18 ; G06F18/21

Abstract:
Systems and methods for determining the gaze direction of a subject and projecting this gaze direction onto specific regions of an arbitrary three-dimensional geometry. In an exemplary embodiment, gaze direction may be determined by a regression-based machine learning model. The determined gaze direction is then projected onto a three-dimensional map or set of surfaces that may represent any desired object or system. Maps may represent any three-dimensional layout or geometry, whether actual or virtual. Gaze vectors can thus be used to determine the object of gaze within any environment. Systems can also readily and efficiently adapt for use in different environments by retrieving a different set of surfaces or regions for each environment.
Public/Granted literature
- US20210182609A1 NEURAL NETWORK BASED DETERMINATION OF GAZE DIRECTION USING SPATIAL MODELS Public/Granted day:2021-06-17
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