Electronic device with automatic eye gaze tracking and camera adjustment

US2023276116A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2023276116-A1
Application numberUS-202217682388-A
CountryUS
Kind codeA1
Filing dateFeb 28, 2022
Priority dateFeb 28, 2022
Publication dateAug 31, 2023
Grant date

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

An electronic device, a method and a computer program product for camera adjustments based on eye gaze tracking. The method includes capturing, via a front facing camera, an image stream containing a face of a user and determining, via a processor, an eye gaze direction based on images retrieved from the image stream. The eye gaze direction corresponds to a location where the user is looking. In response to determining that the user is looking away from the front surface of the electronic device and towards a direction within a field of view of a rear facing camera, the method further includes identifying image characteristics of the location, generating camera settings of the rear facing camera based on the eye gaze direction/characteristics of the location and adjusting the rear facing camera using the generated camera settings such that the rear facing camera focuses on the location.

First claim

Opening claim text (preview).

What is claimed is: 1 . An electronic device comprising: a front surface and a rear surface; at least one front facing camera and at least one rear facing camera. a memory having stored thereon a camera selection and control module (CSCM) for controlling the at least one front facing camera and the at least one rear facing camera; and at least one processor communicatively coupled to each of the at least one front facing camera, each of the at least one rear facing camera, and to the memory, the at least one processor executing program code of the CSCM, which enables the electronic device to: capture, via the at least one front facing camera, a first image stream containing a face of a first user; determine a first eye gaze direction of the first user based on a first image retrieved from the first image stream, the first eye gaze direction corresponding to a first location where the first user is looking; and in response to determining that the first user is looking away from the front surface of the electronic device and towards a direction within a field of view (FOV) of the at least one rear facing camera: identify image characteristics of the first location; generate at least one camera setting of a selected rear facing camera at least partially based on the first eye gaze direction and identified characteristics of the first location; adjust the selected rear facing camera using the generated at least one camera setting such that the selected rear facing camera focuses on the first location; and activate the selected rear facing camera as an active camera. 2 . The electronic device of claim 1 , wherein the at least one processor: tracks the eye gaze direction by monitoring and periodically analyzing the first image corresponding to the first image stream to identify a current eye gaze direction; determines if the current eye gaze direction is towards a current location that is different from the first location; in response to determining that the current location is different from the first location, determines, based on the current eye gaze direction, if the first user is looking away from the front surface of the electronic device; and in response to determining that the first user is looking away from the front surface: identifies image characteristics of the current location; generates at least one new camera setting of the active camera based on the current eye gaze direction and identified characteristics of the current location; and adjusts the active camera using the generated at least one new camera setting such that the at least one rear facing camera focuses on the current location. 3 . The electronic device of claim 1 , wherein to generate the at least one camera setting of the at least one rear facing camera based on a current eye gaze direction, the at least one processor is further enabled to: process the current eye gaze direction through an artificial intelligence engine, which generates the at least one camera setting for the selected rear facing camera based at least partially on the current eye gaze direction; and adjust at least a directional setting of the selected rear facing camera to focus the FOV of the active camera on a current location determined from the current eye gaze detection. 4 . The electronic device of claim 1 , wherein to generate the at least one camera setting of the selected rear facing camera based on a current eye gaze direction, the at least one processor is further enabled to: retrieve, from the memory, first camera parameters and first camera settings for the selected rear facing camera; and generate the at least one second camera setting of the selected rear facing camera at least partially based on the first eye gaze direction, the identified image characteristics of the first location, the first camera parameters, and the first camera settings. 5 . The electronic device of claim 1 , wherein the generated at least one second camera setting comprises at least one of: a zoom level; a focus distance; a directional setting; a digital crop level; a focal distance of the focus module; a directional audio zoom; a modified electronic image stabilization; and an exposure compensation. 6 . The electronic device of claim 1 , wherein the identified image characteristics of the first location comprises at least one of: light levels at the first location; face detection at the first location; scene detection at the first location; contrast detection autofocus at the first location; phase detection autofocus at the first location; object of interest detection using computer vision at the first location; object of interest detection using machine learning at the first location; and object of interest detection using artificial intelligence at the first location. 7 . The electronic device of claim 1 , further comprising: at least one input device communicatively coupled to the at least one processor; and the at least one processor: receives first input from the at least one input device; determines a first context based on the first input received, the first context associated with at least one camera setting using the selected rear facing camera as the active camera to capture images; generates at least one camera setting for the active camera based at least partially on the first context; and adjusts the active camera using the generated at least one camera setting. 8 . The electronic device of claim 7 , wherein: the at least one input device comprises an audio input device and the first input is audio input captured by the audio input device; and the at least one processor processes the audio input via a natural language processor/context evaluation (NLP/CE) engine to determine the first context. 9 . A method comprising: capturing, via at least one front facing camera of an electronic device, a first image stream containing a face of a first user; determining, via at least one processor, a first eye gaze direction of the first user based on a first image retrieved from the first image stream, the first eye gaze direction corresponding to a first location where the first user is looking; and in response to determining that the first user is looking away from a front surface of the electronic device and towards a direction within a field of view (FOV) of at least one rear facing camera of the electronic device: identifying image characteristics of the first location; generating at least one camera setting of a selected rear facing camera at least partially based on the first eye gaze direction and identified characteristics of the first location; adjusting the selected rear facing camera using the generated at least one camera setting such that the selected rear facing camera focuses on the first location; and activating the selected rear facing camera as an active camera. 10 . The method of claim 9 , further comprising: tracking the eye gaze direction by monitoring and periodically analyzing the first image corresponding to the first image stream to identify a current eye gaze direction; determining if the current eye gaze direction is towards a current location that is different from the first location; in response to determining that the current location is different from the first location, determining, based on the current eye gaze direction, if the first user is looking away from the front surface of the electronic device; and in response to determining that the first user is looking away from the front surface: identifying image characteristics of the current location; generating at least one new camera setting of the active camera based on the current eye ga

Assignees

Inventors

Classifications

  • for generating image signals from two or more image sensors being of different type or operating in different modes, e.g. with a CMOS sensor for moving images in combination with a charge-coupled device [CCD] for still images · CPC title

  • G06F3/167Primary

    Audio in a user interface, e.g. using voice commands for navigating, audio feedback · CPC title

  • Control of cameras or camera modules · CPC title

  • H04N23/611Primary

    where the recognised objects include parts of the human body · CPC title

  • Electricity · mapped topic

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What does patent US2023276116A1 cover?
An electronic device, a method and a computer program product for camera adjustments based on eye gaze tracking. The method includes capturing, via a front facing camera, an image stream containing a face of a user and determining, via a processor, an eye gaze direction based on images retrieved from the image stream. The eye gaze direction corresponds to a location where the user is looking. I…
Who is the assignee on this patent?
Motorola Mobility Llc
What technology area does this patent fall under?
Primary CPC classification G06F3/167. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Aug 31 2023 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).